{ From user vkoe, Model The_model at 29-kesä-2011 1:26:18 PM }
Softwareversion 4.2.3


{ System Variables with non-default values: }
Time := Sequence( -1, 110, 1 )
Description Time: Dynamic simulation periods are specified in Time's definition. This is usually a list of numbers or labels, typically in some unit of time (days, weeks, months, etc.).  Use the ÒDynamic()Ó function in your variables to perform dynamic simulation.
Usetable := 0
{!40000|Att_previndexvalue Run: [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,164,165,166,167,168,169,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186,187,188,189,190,191,192,193,194,195,196,197,198,199,200,201,202,203,204,205,206,207,208,209,210,211,212,213,214,215,216,217,218,219,220,221,222,223,224,225,226,227,228,229,230,231,232,233,234,235,236,237,238,239,240,241,242,243,244,245,246,247,248,249,250,251,252,253,254,255,256,257,258,259,260,261,262,263,264,265,266,267,268,269,270,271,272,273,274,275,276,277,278,279,280,281,282,283,284,285,286,287,288,289,290,291,292,293,294,295,296,297,298,299,300,301,302,303,304,305,306,307,308,309,310,311,312,313,314,315,316,317,318,319,320,321,322,323,324,325,326,327,328,329,330,331,332,333,334,335,336,337,338,339,340,341,342,343,344,345,346,347,348,349,350,351,352,353,354,355,356,357,358,359,360,361,362,363,364,365,366,367,368,369,370,371,372,373,374,375,376,377,378,379,380,381,382,383,384,385,386,387,388,389,390,391,392,393,394,395,396,397,398,399,400,401,402,403,404,405,406,407,408,409,410,411,412,413,414,415,416,417,418,419,420,421,422,423,424,425,426,427,428,429,430,431,432,433,434,435,436,437,438,439,440,441,442,443,444,445,446,447,448,449,450,451,452,453,454,455,456,457,458,459,460,461,462,463,464,465,466,467,468,469,470,471,472,473,474,475,476,477,478,479,480,481,482,483,484,485,486,487,488,489,490,491,492,493,494,495,496,497,498,499,500,501,502,503,504,505,506,507,508,509,510,511,512,513,514,515,516,517,518,519,520,521,522,523,524,525,526,527,528,529,530,531,532,533,534,535,536,537,538,539,540,541,542,543,544,545,546,547,548,549,550,551,552,553,554,555,556,557,558,559,560,561,562,563,564,565,566,567,568,569,570,571,572,573,574,575,576,577,578,579,580,581,582,583,584,585,586,587,588,589,590,591,592,593,594,595,596,597,598,599,600,601,602,603,604,605,606,607,608,609,610,611,612,613,614,615,616,617,618,619,620,621,622,623,624,625,626,627,628,629,630,631,632,633,634,635,636,637,638,639,640,641,642,643,644,645,646,647,648,649,650,651,652,653,654,655,656,657,658,659,660,661,662,663,664,665,666,667,668,669,670,671,672,673,674,675,676,677,678,679,680,681,682,683,684,685,686,687,688,689,690,691,692,693,694,695,696,697,698,699,700,701,702,703,704,705,706,707,708,709,710,711,712,713,714,715,716,717,718,719,720,721,722,723,724,725,726,727,728,729,730,731,732,733,734,735,736,737,738,739,740,741,742,743,744,745,746,747,748,749,750,751,752,753,754,755,756,757,758,759,760,761,762,763,764,765,766,767,768,769,770,771,772,773,774,775,776,777,778,779,780,781,782,783,784,785,786,787,788,789,790,791,792,793,794,795,796,797,798,799,800,801,802,803,804,805,806,807,808,809,810,811,812,813,814,815,816,817,818,819,820,821,822,823,824,825,826,827,828,829,830,831,832,833,834,835,836,837,838,839,840,841,842,843,844,845,846,847,848,849,850,851,852,853,854,855,856,857,858,859,860,861,862,863,864,865,866,867,868,869,870,871,872,873,874,875,876,877,878,879,880,881,882,883,884,885,886,887,888,889,890,891,892,893,894,895,896,897,898,899,900,901,902,903,904,905,906,907,908,909,910,911,912,913,914,915,916,917,918,919,920,921,922,923,924,925,926,927,928,929,930,931,932,933,934,935,936,937,938,939,940,941,942,943,944,945,946,947,948,949,950,951,952,953,954,955,956,957,958,959,960,961,962,963,964,965,966,967,968,969,970,971,972,973,974,975,976,977,978,979,980,981,982,983,984,985,986,987,988,989,990,991,992,993,994,995,996,997,998,999,1000]}
Typechecking := 0
Checking := 1
Graphwindows := 10
Showhier := 1
Saveoptions := 2
Savevalues := 0
Diststeps := 1
Naming := 0
Allwarnings := 0
{!40000|Att_contlinestyle Graph_primary_valdim: 1}
{!40000|Att_catlinestyle Graph_primary_valdim: 9}
{!40000|Att_graphvaluerange Graph_pdf_valdim: 1,0,0,1,,,,0,1}
{!40000|Att_contlinestyle Graph_pdf_valdim: 6}
{!40000|Att_contlinestyle Graph_cdf_valdim: 1}

Attribute Reference
Attribute Log

Askattribute Recursive,Function,Yes
Askattribute Reference,Function,Yes
Askattribute Log,Function,Yes
Askattribute Reference,Module,Yes
Askattribute Log,Module,Yes
Askattribute Value,Variable,Yes
Askattribute Reference,Variable,Yes
Askattribute Log,Variable,Yes

Model The_model
Author: ktluser
Date: Wed, Apr 09, 2008 3:15 PM
Saveauthor: vkoe
Savedate: 29. Junta 2011 13:26
Defaultsize: 48,24
Diagstate: 2,5,11,1044,754,17
Fontstyle: Arial, 13
Fileinfo: 0,Model The_model,2,2,0,0,N:\YMAL\Users\VirpiK\Impact_Calculation_Tool.ana

Module Continue_to_input_nu
Title: Exposure scenarios
Author: olex
Date: Fri, Dec 05, 2008 9:42 AM
Defaultsize: 48,24
Nodelocation: 88,632,1
Nodesize: 56,28
Nodeinfo: 1,0,0,1,1,1,0,,0,
Diagstate: 2,40,6,1150,1014,17
Nodecolor: 52427,58983,65535
Graphsetup: Probindex:[0.025, 0.25, 0.5, 0.75, 0.975 ]

Module Model2
Title: Double click to view the model
Description: Model to calculate DALYs for environmental exposures. Node 'Exposure scenarios' contains three scenarios (Business-as-usual, Increasing exposure, and decreasing exposure). Calculation is divided to mortality and morbidity. Morbidity calculation utilizes DALY weights and duration of disease to yield YLD (Years of Life lost due to Disease), and mortality calculation yields YLL (Years of Life Lost). In the end, these two values are added and the results are DALYs in scenarios.~
~
Pink nodes are source data nodes inputted by a user.
Author: ktluser
Date: Fri, Apr 11, 2008 9:48 AM
Defaultsize: 48,24
Nodelocation: 104,648,1
Nodesize: 64,28
Nodeinfo: 1,0,0,1,1,1,0,,0,
Diagstate: 2,154,84,883,707,17
Aliases: Alias Double_click_to_vie1, Alias Double_click_to_view
Nodecolor: 52427,58983,65535
Fontstyle: Arial, 12

Variable Input_mort_risk
Title: Input mortality risk
Units: -
Description: Annual mortality rate in BAU scenario.
Definition: var a:=Mort_data/Pop_data;~
~
a:=if isnan(a)=1 then 0 else a;~
~
if a = inf then 0 else a
Nodelocation: 264,208,1
Nodesize: 48,24
Windstate: 2,176,259,494,409
Valuestate: 2,176,116,467,818,0,MIDM
Nodecolor: 19661,48336,65535
Reformval: [Mort_endpoint,Age]
Att__totalsindex: Index Mort_endpoint
{!40000|Att_resultslicestate: [Age1,2,Sex,1,Age_cat,1,Cause_of_death,1]}

Variable Pop_data
Title: Population data
Description: Annual total population
Definition: Table(Age,Sex)(~
56.6834K,~
56.6834K,~
56.6834K,~
56.6834K,~
56.6834K,~
60.615K,~
60.615K,~
60.615K,~
60.615K,~
60.615K,~
66.1678K,~
66.1678K,~
66.1678K,~
66.1678K,~
66.1678K,~
63.786K,~
63.786K,~
63.786K,~
63.786K,~
63.786K,~
66.42360000000001K,~
66.42360000000001K,~
66.42360000000001K,~
66.42360000000001K,~
66.42360000000001K,~
65.8828K,~
65.8828K,~
65.8828K,~
65.8828K,~
65.8828K,~
61.4958K,~
61.4958K,~
61.4958K,~
61.4958K,~
61.4958K,~
72.47440000000001K,~
72.47440000000001K,~
72.47440000000001K,~
72.47440000000001K,~
72.47440000000001K,~
75.9178K,~
75.9178K,~
75.9178K,~
75.9178K,~
75.9178K,~
76.9778K,~
76.9778K,~
76.9778K,~
76.9778K,~
76.9778K,~
80.20660000000001K,~
80.20660000000001K,~
80.20660000000001K,~
80.20660000000001K,~
80.20660000000001K,~
80.29120000000001K,~
80.29120000000001K,~
80.29120000000001K,~
80.29120000000001K,~
80.29120000000001K,~
54.3002K,~
54.3002K,~
54.3002K,~
54.3002K,~
54.3002K,~
48.0772K,~
48.0772K,~
48.0772K,~
48.0772K,~
48.0772K,~
41.4752K,~
41.4752K,~
41.4752K,~
41.4752K,~
41.4752K,~
34.9876K,~
34.9876K,~
34.9876K,~
34.9876K,~
34.9876K,~
23.3004K,~
23.3004K,~
23.3004K,~
23.3004K,~
23.3004K,~
11.2926K,~
11.2926K,~
11.2926K,~
11.2926K,~
11.2926K,~
4394.400000000001,~
4394.400000000001,~
4394.400000000001,~
4394.400000000001,~
4394.400000000001,~
886.6,~
886.6,~
886.6,~
886.6,~
886.6~
)
Nodelocation: 416,208,1
Nodesize: 48,24
Windstate: 2,106,219,484,386
Defnstate: 2,261,166,356,524,0,MIDM
Valuestate: 2,164,80,273,772,0,MIDM
Aliases: Formnode Population1, Formnode Population2
Nodecolor: 65535,52427,61166
Reformdef: [Sex,Age]
Reformval: [Sex,Age]
Att__totalsindex: Index Age, Index Age_cat

Index Age
Title: Age
Description: List of age in 1 year year intervals.
Definition: Sequence( 0, 99, 1 )
Nodelocation: 416,240,1
Nodesize: 48,12
{!40000|Att_previndexvalue: [0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99]}

Variable Morb_data
Title: Morbidity data
Units: cases/a
Description: Annual number of morbidity cases due to a given cause-of-morbidity.~

Definition: Table(Age,Morb_endpoint,Sex)(~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0,~
0~
)
Nodelocation: 576,112,1
Nodesize: 48,24
Windstate: 2,107,127,476,264
Defnstate: 2,163,191,514,530,0,MIDM
Valuestate: 2,177,164,456,499,0,MIDM
Aliases: Formnode Baseline_morbidity2, Formnode Baseline_morbidity4
Nodecolor: 65535,52427,61166
Reformdef: [Morb_endpoint,Age]
Reformval: [Morb_endpoint,Age]
Att__totalsindex: Index Age_cat
{!40000|Att_resultslicestate: [Gender,1,Age_cat,1,Morbidity,1]}
{!40000|Att_editslicestate: [Gender,1,Age_cat,1,Morbidity,2]}

Variable Input_morb_risk
Title: Input morbidity risk
Description: Annual morbidity rate in BAU scenario.
Definition: var a:=Morb_data/Pop_data;~
~
a:=if isnan(a)=1 then 0 else a;~
~
if a = inf then 0 else a
Nodelocation: 576,208,1
Nodesize: 48,24
Windstate: 2,66,175,506,335
Valuestate: 2,208,78,499,796,0,MIDM
Nodecolor: 19661,48336,65535
Reformval: [Morb_endpoint,Age]
Att__totalsindex: Index Morb_endpoint
{!40000|Att_resultslicestate: [Sex,1,Age1,1,Morbidity,1]}

Variable Morb_risk_scenarios
Title: Morbidity risk scenarios
Units: -
Description: Annual morbidity risk in different exposure scenarios. Calculated only for those morbidity endpoints for which baseline morbidity data is provided.
Definition: if Assessment_type='Exposure scenarios' then ~
~
var a:= Exposures;~
var b:= Morbidity_erf;~
var c:= Morb_erf_unit;~
c:= if c = 0 then 1 else c;~
var d:=Pop_frac;~
~
var e:= exp(ln(b[Erf_type='Relative Risk'])/c*a[@Fu_period=1]);~
Var f:=((e*d)+(1-d))[Exposure='Reference'];~
var g:=((e*d)+(f*(1-d)))[Exposure='BAU'];~
g:=((g-1)/g);~
g:= Input_morb_risk*(1-g);~
~
f:=Table(Exposure)(f, f, 1);~
e:= exp(ln(b[Erf_type='Relative Risk'])/c*a);~
f:=(e*d)+(f*(1-d));~
f*g~
~
else~
~
var h:=Input_morb_risk+(Input_morb_risk*Input_morb_abfrac*Outcome_morb[Scenario='BAU']/100);~
var i:=Input_morb_risk+(Input_morb_risk*Input_morb_abfrac*Outcome_morb[Scenario='Alternative']/100);~
var j:=Input_morb_risk*(1-Input_morb_abfrac);~
Table(Exposure)(h, i, j )
Nodelocation: 576,280,1
Nodesize: 48,24
Windstate: 2,227,144,643,472
Defnstate: 2,603,496,559,303,0,MIDM
Valuestate: 2,166,156,519,497,0,MIDM
Nodecolor: 19661,48336,65535
Reformval: [Exposure,Age]
{!40000|Att_resultslicestate: [Sex,1,Morb_endpoint,1,Age,1,Exposure,1]}
Log: 20.11.2008 Olli Leino~
Replaced the definition by table indexed by Morbidity:~
~
Base_morb_rate[Morbidity='Respiratory diseases']*(1+Morb_risk_change)~
Base_morb_rate[Morbidity='Cardiovascular diseases']*(1+Morb_risk_change)~
~
Old definition was:~
~
Base_morb_rate*(1+Morb_risk_change)

Variable Age_weight
Title: Age weight
Description: What are the most valuable ages in human life?
Definition: If Age_weighting= 'Yes' then~
~
var a:=0.1658*Age*exp(-0.04*Age);~
sum(if floor(Age/5)+1 = @age_cat then a else 0 , Age)/5~
~
else 1~

Nodelocation: 744,376,1
Nodesize: 48,12
Windstate: 2,185,183,476,341
Defnstate: 2,168,7,416,585,0,MIDM
Valuestate: 2,189,167,416,489,0,MIDM
Nodecolor: 19661,48336,65535

Variable Start_year
Title: Assessment start year
Description: Start year of the assessment.
Definition: 2010
Nodelocation: 80,424,1
Nodesize: 48,24
Aliases: Formnode Assessment_start_yea
Nodecolor: 65535,52427,61166

Variable Followup_time
Title: Follow-up period
Units: Years
Description: Number of follow-up years
Definition: 100
Nodelocation: 80,496,1
Nodesize: 48,24
Valuestate: 2,120,130,392,202,0,MIDM
Aliases: Formnode Follow_up_period
Nodecolor: 65535,52427,61166

Variable Birth_rate
Title: Birth rate
Units: births/year
Description: Annual number of births
Definition: Table(Sex,Fu_year)(~
56.7K,56.7K,56.7K,56.7K,56.7K,56.7K,56.7K,56.7K,56.7K,56.7K,56.7K,56.7K,56.7K,56.7K,56.7K,56.7K,56.7K,56.7K,56.7K,56.7K~
)
Nodelocation: 80,368,1
Nodesize: 48,24
Windstate: 2,32,331,476,224
Defnstate: 2,205,183,388,472,0,MIDM
Valuestate: 2,146,186,416,482,0,MIDM
Aliases: Formnode Birth_rate1, Formnode Birth_rate2
Nodecolor: 65535,52427,61166
Reformdef: [Sex,Fu_year]
Reformval: [Sex,Fu_year]
Reference: N:\Huippuyksikko\Tutkimus\R89_Daly\TICT_data.xls~
Tilastokeskus:~
http://www.stat.fi/til/synt/2007/synt_2007_2008-05-02_tie_001_fi.htm~


Variable Discount
Title: Annual discount rate
Units: %
Description: Annual time discount rate for future loss of life
Definition: 0
Nodelocation: 744,416,1
Nodesize: 48,16
Aliases: Formnode Discount1, Formnode Discount_rate
Nodecolor: 65535,52427,61166

Variable Mort_data
Title: Mortality data
Units: deaths/a
Description: Annual number of deaths due to a given cause-of-death~
~
Note! All causes of death must be included in the node dataset because the life table modelling is based on total mortality.~

Definition: Table(Age,Sex,Mort_endpoint)(~
40.8,9,~
40.8,9,~
40.8,9,~
40.8,9,~
40.8,9,~
3.8,6.4,~
3.8,6.4,~
3.8,6.4,~
3.8,6.4,~
3.8,6.4,~
4.6,6,~
4.6,6,~
4.6,6,~
4.6,6,~
4.6,6,~
7,23.6,~
7,23.6,~
7,23.6,~
7,23.6,~
7,23.6,~
10.2,39.8,~
10.2,39.8,~
10.2,39.8,~
10.2,39.8,~
10.2,39.8,~
12.4,34.6,~
12.4,34.6,~
12.4,34.6,~
12.4,34.6,~
12.4,34.6,~
17.8,30.8,~
17.8,30.8,~
17.8,30.8,~
17.8,30.8,~
17.8,30.8,~
48.6,50.8,~
48.6,50.8,~
48.6,50.8,~
48.6,50.8,~
48.6,50.8,~
92.2,64.40000000000001,~
92.2,64.40000000000001,~
92.2,64.40000000000001,~
92.2,64.40000000000001,~
92.2,64.40000000000001,~
166.4,81.2,~
166.4,81.2,~
166.4,81.2,~
166.4,81.2,~
166.4,81.2,~
302.6,93.2,~
302.6,93.2,~
302.6,93.2,~
302.6,93.2,~
302.6,93.2,~
457.8,97.2,~
457.8,97.2,~
457.8,97.2,~
457.8,97.2,~
457.8,97.2,~
475.2,58.8,~
475.2,58.8,~
475.2,58.8,~
475.2,58.8,~
475.2,58.8,~
643,59.4,~
643,59.4,~
643,59.4,~
643,59.4,~
643,59.4,~
919.4,55.6,~
919.4,55.6,~
919.4,55.6,~
919.4,55.6,~
919.4,55.6,~
1312,60.4,~
1312,60.4,~
1312,60.4,~
1312,60.4,~
1312,60.4,~
1560,59.6,~
1560,59.6,~
1560,59.6,~
1560,59.6,~
1560,59.6,~
1355.4,44.4,~
1355.4,44.4,~
1355.4,44.4,~
1355.4,44.4,~
1355.4,44.4,~
895.6,38.4,~
895.6,38.4,~
895.6,38.4,~
895.6,38.4,~
895.6,38.4,~
301.2,11.8,~
301.2,11.8,~
301.2,11.8,~
301.2,11.8,~
301.2,11.8~
)
Nodelocation: 264,120,1
Nodesize: 48,24
Windstate: 2,164,118,514,452
Defnstate: 2,231,183,389,490,0,MIDM
Valuestate: 2,168,142,472,503,0,MIDM
Aliases: Formnode Baseline_mortality1, Formnode Baseline_mortality2
Nodecolor: 65535,52427,61166
Reformdef: [Mort_endpoint,Age]
Reformval: [Mort_endpoint,Age]
Att__totalsindex: Index Age_cat, Index Mort_endpoint
{!40000|Att_resultslicestate: [Sex,1,Age_cat,1,Cause_of_death,1]}
{!40000|Att_editslicestate: [Sex,2,Age1,1,Mort_endpoint,1]}

Variable Mort_risk_scenarios
Title: Mortality risk scenarios
Units: -
Description: Annual mortality risk in different exposure scenarios.~

Definition: if Assessment_type='Exposure scenarios' then ~
~
var a:= Exposures;~
var b:= Mortality_erf;~
var c:= Mort_erf_unit;~
c:= if c = 0 then 1 else c;~
var d:=Pop_frac;~
~
var e:= exp(ln(b[Erf_type='Relative Risk'])/c*a[@Fu_period=1]);~
Var f:=((e*d)+(1-d))[Exposure='Reference'];~
var g:=((e*d)+(f*(1-d)))[Exposure='BAU'];~
g:=(g-1)/g;~
g:= Input_mort_risk*(1-g);~
~
f:=Table(Exposure)(f, f, 1);~
e:= exp(ln(b[Erf_type='Relative Risk'])/c*a);~
f:=(e*d)+(f*(1-d));~
g:=f*g;~
~
Var h:= a-a[Exposure='BAU', @Fu_period=1];~
h:= b[Erf_type='Absolute Risk']/c*h*d;~
~
sum(Table(Erf_type)(g,h),Erf_type)~
~
else~
~
var j:=Input_mort_risk+(Input_mort_risk*Input_mort_abfrac*Change_mort[Scenario='BAU']/100);~
var k:=Input_mort_risk+(Input_mort_risk*Input_mort_abfrac*Change_mort[Scenario='Alternative']/100);~
var l:=Input_mort_risk*(1-Input_mort_abfrac);~
Table(Exposure)(j, k, l )~

Nodelocation: 264,280,1
Nodesize: 48,24
Windstate: 2,205,131,630,827
Defnstate: 2,131,524,556,303,0,MIDM
Valuestate: 2,95,66,448,775,0,MIDM
Nodecolor: 19661,48336,65535
Reformval: [Exposure,Age]
Att__totalsindex: Index Mort_endpoint
{!40000|Att_resultslicestate: [Sex,1,Mort_endpoint,1,Fu_period,4,Age,1,Exposure,1]}

Objective Le_cohort
Title: Life expectancy in birth cohort
Units: Years
Description: Life-expectancy for a birth cohort exposed to the given level throughout the entire life.
Definition: var a:= sum(Mort_risk_scenarios,Mort_endpoint);~
~
a:= if Mort_effect = 'Acute' then a[Exposure='BAU'] else a;~
~
a:= if Year_spec = 'Yes' then~
(a:=a[Fu_period=period_lt];~
a:= if a = null then a[Period_lt=max(Fu_period)] else a;~
a:= Si_pi(a, 5, Period_lt, Year_lt, Year_help)*5)~
else a;~
~
a:=if a < 0 then 0 else a;~
a:=if a>1 then 1 else a;~
~
a:= 1-a;~
~
var b:=1;~
var c:=0;~
var d:=0;~
var x:= 0;~
while x<=99 do (~
c:=b*a[Age=x, @Year_lt=x+1];~
d:=d+c+(b-c)/2;~
b:=c;~
x:= x+1); ~
~
d~
~
~

Nodelocation: 368,392,1
Nodesize: 48,24
Windstate: 2,91,93,539,715
Valuestate: 2,173,117,429,195,0,MIDM
Aliases: Formnode Life_expectancy_in_1, Formnode Life_expectancy_in_b
Nodecolor: 65535,19661,38773
Reformval: [Sex,Exposure,Undefined,2]
Att__totalsindex: Index Age, Index Mort_endpoint
{!40000|Att_resultslicestate: [Sex,1,Exposure,1,Age1,1,Year_lt,90]}
Reference: Figure 1:~
<a href="N:\Huippuyksikko\Tutkimus\R89_Daly\Mallit\Graphs1.xls">Graphs1</a>~

Log: <a href="N:\Huippuyksikko\Tutkimus\R50_LifeTable\Mallit\Tainio_Life-table_8.ANA">Tainio Life-Table</a>

Objective Ab_morbidity_spec
Title: Morbidity, specified
Units: cases
Description: Morbidity cases attributable to the exposure in different scenarios.
Definition: if Assessment_type = 'Exposure scenarios' then~
~
var a:= Exposures;~
var b:= Morbidity_erf;~
var c:= Morb_erf_unit;~
c:= if c = 0 then 1 else c;~
var d:= Pop_frac;~
var e:= Morb_risk_scenarios;~
~
var f:= b[Erf_type='Absolute Risk']/c*a*d;~
~
var g:=sum(Table(Erf_type)(e,f),erf_type);~
g:=if g<0 then 0 else g;~
g:= sum(if floor(Age/5)+1 = @age_cat then g else 0, Age)/5;~
g:=g-g[Exposure='Reference'];~
~
g:=g*Pop_in_time_ave;~
var h:=Table(Time_unit)(g, g*5);~
h:= if followup_time <2 then g else h;~
~
if Outcome= 'Change in EBD' then h[Exposure='Alternative']-h[Exposure='BAU'] else h~
~
~
else if Input_morb_outcome = 'Percentage change' then~
~
var a:= Morb_risk_scenarios;~
a:=if a<0 then 0 else a;~
a:= sum(if floor(Age/5)+1 = @Age_cat then a else 0 , Age)/5;~
a:=a-a[Exposure='Reference'];~
~
a:= a*Pop_in_time_ave;~
var b:=Table(Time_unit)(a, a*5);~
a:= if Followup_time <2 then a else b;~
~
if Outcome= 'Change in EBD' then a[Exposure='Alternative']-a[Exposure='BAU'] else a~
~
else~
~
var a:= Outcome_morb;~
a:= sum(if floor(Age/5)+1 = @age_cat then a else 0, Age);~
a:= a-a[Exposure='Reference'];~
var b:=Table(Time_unit)(a, a*5);~
a:= if followup_time <2 then a else b;~
~
if Outcome = 'Change in EBD' then a[Exposure='Alternative']-a[Exposure='BAU'] else  a~
~
~

Nodelocation: 576,424,1
Nodesize: 48,20
Windstate: 2,250,153,531,758
Valuestate: 2,179,198,739,532,0,MIDM
Aliases: Formnode Attributable_morbid1, Formnode Morbidity__specified
Nodecolor: 65535,19661,38773
Reformval: [Fu_period,Age_cat]
Att__totalsindex: Index Age, Index Age_cat
{!40000|Att_resultslicestate: [Sex,1,Morb_endpoint,1,Exposure,1,Time_unit,1,Age_cat,1,Fu_period,1]}

Objective Yll_spec
Title: YLL, specified
Units: years
Description: Years of life lost due to mortality attributable to the exposure of interest
Definition: if Assessment_type = 'Total burden of disease' then~
~
var a:=Exposures;~
var b: Mort_erf_bod;~
var c:= Mort_erf_unit;~
c:= if c = 0 then 1 else c;~
var d:=Pop_frac;~
~
var e:= exp(ln(b)/c*a);~
Var f:=((e*d)+(1-d))[Exposure='Reference'];~
var g:=((e*d)+(f*(1-d)))[Exposure='BAU'];~
g:=(g-1)/g;~
g:= As_total_yll*(1-g);~
~
f:=Table(Exposure)(f, f, 1);~
f:=(e*d)+(f*(1-d));~
f:=f*g;~
f-f[Exposure='Reference']~
~
else if Mort_effect = 'Acute' then ~
~
Ab_mortality_spec*Life_lost*Age_weight*Pv_life_year[period_lt=Fu_period]~
~
else if App_yll = 'Life tables' then~
~
var a:=Life_years{[Period_lt=Fu_period]};~
a:= (a[Exposure='Reference']-a);~
a:=Table(Time_unit)(a/5, a);~
if Outcome= 'Change in EBD' then a[Exposure='Alternative']-a[Exposure='BAU'] else a~
~
else~
~
Ab_mortality_spec*Ad_le[Exposure='Reference']*Pv_life_year[Period_lt=Fu_period]~

Nodelocation: 264,576,1
Nodesize: 48,12
Windstate: 2,140,114,526,810
Valuestate: 2,144,160,562,448,0,MIDM
Aliases: Formnode Attributable_yll__, Formnode Attributable_yll, Formnode Yll__
Nodecolor: 65535,19661,38773
Reformval: [Period_lt,Age_cat,Undefined,Undefined,1]
Att__totalsindex: Index Age, Index Age_cat, Index Mort_endpoint
{!40000|Att_resultslicestate: [Sex,1,Time_unit,1,Exposure,2,Age_cat,0,Period_lt,1]}

Objective Yld_spec
Title: YLD, specified
Units: years
Description: Years of life lost due to morbidity attributable to the exposure of interest.
Definition: if Assessment_type = 'Total burden of disease' then~
~
var a:=Exposures;~
var b: Morb_erf_bod;~
var c:= Morb_erf_unit;~
c:= if c = 0 then 1 else c;~
var d:=Pop_frac;~
~
var e:= exp(ln(b)/c*a);~
Var f:=((e*d)+(1-d))[Exposure='Reference'];~
var g:=((e*d)+(f*(1-d)))[Exposure='BAU'];~
g:=(g-1)/g;~
g:= As_total_yld*(1-g);~
~
f:=Table(Exposure)(f, f, 1);~
f:=(e*d)+(f*(1-d));~
f:=f*g;~
f-f[Exposure='Reference']~
~
else~
~
var a:= Ab_morbidity_spec*Duration*Daly_weight*Pv_life_year[period_lt=Fu_period];~
~
if isnan(a)=1 then 0 else a~
~

Nodelocation: 576,576,1
Nodesize: 48,12
Windstate: 2,106,126,573,743
Valuestate: 2,173,201,654,548,0,MIDM
Aliases: Formnode Attributable_yld1, Formnode Attributable_yld, Formnode Yld1
Nodecolor: 65535,19661,38773
Reformval: [Fu_period,Age_cat]
Att__totalsindex: Index Age, Index Age_cat
{!40000|Att_resultslicestate: [Sex,1,Time_unit,1,Exposure,2,Morb_endpoint,1,Age_cat,1,Fu_period,1]}

Objective Daly_spec
Title: DALY, specified
Units: years
Description: Annual loss of disability adjusted life years attributable to the exposure in different scenarios.~

Definition: if App_yll = 'Life tables' then~
~
Yll_spec+sum(Yld_spec,Morb_endpoint)~
~
else~
~
sum(Yll_spec,Mort_endpoint)+sum(Yld_spec,Morb_endpoint)
Nodelocation: 416,576,1
Nodesize: 48,20
Windstate: 2,107,95,476,419
Defnstate: 2,191,289,416,303,0,MIDM
Valuestate: 2,225,149,436,533,0,MIDM
Aliases: Formnode Attributable_daly_, Formnode Dalys1, Formnode Daly_
Nodecolor: 65535,19661,38773
Reformval: [Fu_period,Age_cat,Undefined,Undefined,1]
Att__totalsindex: Index Age, Index Age_cat
{!40000|Att_resultslicestate: [Sex,1,Time_unit,1,Exposure,1,Age_cat,0,Fu_period,1]}

Alias Cause_of_death2
Title: Cause of death
Definition: 1
Nodelocation: 264,152,1
Nodesize: 52,12
Original: Mort_endpoint

Alias Morbidity2
Title: Morbidity
Definition: 1
Nodelocation: 576,144,1
Nodesize: 52,12
Original: Morb_endpoint

Module Help_nodes
Title: Technical nodes
Author: vkoe
Date: 21. Janta 2009 9:47
Defaultsize: 48,24
Nodelocation: 744,64,1
Nodesize: 48,24
Nodeinfo: 1,0,0,1,1,1,0,,0,
Diagstate: 2,276,265,572,401,17

Index Fu_period
{!40000|Att_previndexvalue: [2010,2015,2020,2025]}
Title: Follow-up period
Definition: sequence(Start_year,Start_year+(Followup_time-1),5)
Nodelocation: 448,176,1
Nodesize: 48,16
Valuestate: 2,331,271,416,303,0,MIDM
Reformval: [Undefined,Self]

Index Age_cat
{!40000|Att_previndexvalue: ['0-4','5-9','10-14','15-19','20-24','25-29','30-34','35-39','40-44','45-49','50-54','55-59','60-64','65-69','70-74','75-79','80-84','85-89','90-94','95+']}
Title: Age cat
Description: Age categories used in morbidity datasets.
Definition: ['0-4','5-9','10-14','15-19','20-24','25-29','30-34','35-39','40-44','45-49','50-54','55-59','60-64','65-69','70-74','75-79','80-84','85-89','90-94','95+']
Nodelocation: 96,224,1
Nodesize: 48,12
Windstate: 2,25,12,335,453
Valuestate: 2,754,375,416,462,0,MIDM

Index Sex
Title: Sex
Definition: If Sex_class='Yes' then Copyindex(Sex_yes) else Copyindex(Sex_no)
Nodelocation: 96,88,1
Nodesize: 48,12
Windstate: 2,102,90,476,224
{!40203|Att_slicerpopupsize: 227,28}
{!40000|Att_previndexvalue: ['Male/female']}

Function Si_pi(data, kerroin;karkea,tarkka:indextype;indtieto)
Title: Si_pi
Description: Data = data to be divided into more detailed parts~
Kerroin = relative weight inside a cluster~
Karkea = index for the clustered data~
Tarkka = index for the detailed data~
Indtieto = Data about which detailed item belongs to which cluster~
~
esim: Si_pi1(Base_mortality, 5, Age_cat, age1, Age_help) (baseline mortality from 5-year age categories to 1-year age categories)
Definition: var a:=sum((if indtieto=karkea then kerroin else 0), tarkka);~
a:= sum((if indtieto=karkea then a else 0), karkea);~
a:= kerroin/a;~
sum((if indtieto=karkea then data*a else 0), karkea)
Nodelocation: 208,48,1
Nodesize: 48,24
Windstate: 2,372,218,476,494
Paramnames: data,kerroin,karkea,tarkka,indtieto

Variable Age_help
Title: Age help
Description: A help node to group age index~
~
This node is used in transforming morbidity and mortality datasets in 5 year intervals into 1 year interval datasets.
Definition: Table(Age)(~
'0-4','0-4','0-4','0-4','0-4','5-9','5-9','5-9','5-9','5-9','10-14','10-14','10-14','10-14','10-14','15-19','15-19','15-19','15-19','15-19','20-24','20-24','20-24','20-24','20-24','25-29','25-29','25-29','25-29','25-29','30-34','30-34','30-34','30-34','30-34','35-39','35-39','35-39','35-39','35-39','40-44','40-44','40-44','40-44','40-44','45-49','45-49','45-49','45-49','45-49','50-54','50-54','50-54','50-54','50-54','55-59','55-59','55-59','55-59','55-59','60-64','60-64','60-64','60-64','60-64','65-69','65-69','65-69','65-69','65-69','70-74','70-74','70-74','70-74','70-74','75-79','75-79','75-79','75-79','75-79','80-84','80-84','80-84','80-84','80-84','85-89','85-89','85-89','85-89','85-89','90-94','90-94','90-94','90-94','90-94','95+','95+','95+','95+','95+')
Nodelocation: 208,120,1
Nodesize: 48,24
Nodeinfo: 1,1,0,1,1,1,0,,0,
Defnstate: 2,85,271,416,571,0,MIDM
Nodecolor: 65535,65531,1

Index Sex_yes
Title: Sex yes
Definition: ['Male','Female']
Nodelocation: 96,40,1
Nodesize: 48,12

Index Sex_no
Title: Sex no
Definition: ['Male/female']
Nodelocation: 96,64,1
Nodesize: 48,12

Variable Outcome_scen_help
Title: Outcome scen help
Definition: Table(Age_cat)(~
'All ages','All ages','All ages','All ages','All ages','All ages','All ages','All ages','All ages','All ages','All ages','All ages','All ages','All ages','All ages','All ages','All ages','All ages','All ages','All ages')
Nodelocation: 208,176,1
Nodesize: 48,24
Nodeinfo: 1,0,0,1,1,1,0,,0,
Defnstate: 2,198,274,416,303,0,MIDM
Nodecolor: 65535,65531,1

Decision Mort_effect
Title: Type of mortality effect
Definition: Choice(Self,1)
Nodelocation: 328,48,1
Nodesize: 48,24
Windstate: 2,169,50,476,224
Valuestate: 2,301,363,416,303,0,MIDM
Aliases: Formnode Type_of_mortality_ef
Domain: ['Chronic','Acute']

Index Erf_type
Title: ERF type
Definition: ['Relative Risk','Absolute Risk']
Nodelocation: 96,128,1
Nodesize: 48,12
{!40000|Att_previndexvalue: ['Relative Risk','Absolute Risk']}

Decision App_yll
Title: Approach for YLL calculation
Definition: Choice(Self,1)
Nodelocation: 328,112,1
Nodesize: 48,29
Valuestate: 2,284,345,416,303,0,MIDM
Aliases: Formnode Approach_for_yll_ca1, Formnode Approach_for_yll_cal
Domain: ['Life tables','Attributable deaths']

Variable Year_help
Title: Year help
Definition: var a:= if year_lt >= period_lt and year_lt< period_lt+5 then period_lt else 0;~
sum(a,period_lt)
Nodelocation: 208,232,1
Nodesize: 48,24
Windstate: 2,102,90,476,224
Defnstate: 2,120,130,424,513,0,MIDM
Valuestate: 2,458,169,416,679,0,MIDM
Nodecolor: 65535,65532,19661

Decision Outcome
Title: Outcome of interest
Definition: Choice(Self,1)
Nodelocation: 328,176,1
Nodesize: 48,24
Aliases: Formnode Outcome_of_interest2, Formnode Outcome_of_interest1
Domain: ['EBD','Change in EBD']

Index Pop_unit
Title: Population unit
Definition: ['Total population','100000 population']
Nodelocation: 96,160,1
Nodesize: 48,16
{!40203|Att_slicerpopupsize: 232,42}

Index Time_unit
Title: Time unit
Definition: ['Average annual','5-year period']
Nodelocation: 96,192,1
Nodesize: 48,12
Windstate: 2,275,208,476,224
{!40203|Att_slicerpopupsize: 232,42}

Variable Period_vs_year
Title: Period vs year
Definition: var a:= if Year_lt = Period_lt then Period_lt else 0;~
sum(a,Year_lt)~

Nodelocation: 448,56,1
Nodesize: 48,24
Valuestate: 2,360,165,501,494,0,MIDM
Reformval: [Fu_year,Fu_period]

Index Year_lt
Title: Year LT
Definition: if App_yll = 'Life tables' then sequence(Start_year,Start_year+Followup_time+99,1) ~
else~
sequence(Start_year,Start_year+99,1)
Nodelocation: 448,108,1
Nodesize: 48,12
Valuestate: 2,537,377,416,303,0,MIDM

Index Period_lt
Title: Period LT
Definition: if App_yll = 'Life tables' then sequence(Start_year,Start_year+Followup_time+99,5)~
else~
sequence(Start_year,Start_year+99,5)
Nodelocation: 448,136,1
Nodesize: 48,12
Windstate: 2,363,492,476,224
Valuestate: 2,415,203,450,537,0,MIDM

Index Fu_year
{!40000|Att_previndexvalue: [2010,2011,2012,2013,2014,2015,2016,2017,2018,2019,2020,2021,2022,2023,2024,2025,2026,2027,2028,2029]}
Title: Follow-up year
Definition: sequence(Start_year,Start_year+(Followup_time-1),1)
Nodelocation: 448,208,1
Nodesize: 48,16
Valuestate: 2,447,277,436,438,0,MIDM

Variable Year_spec
Title: Year specific input data
Description: Is the input data for exposure/health outcome follow up -year specific?
Definition: if Assessment_type='Exposure scenarios' then Exp_year_class else Ys_change_mort
Nodelocation: 96,272,1
Nodesize: 48,24
Windstate: 2,200,186,476,224

Close Help_nodes

Objective Ab_mortality_spec
Title: Mortality, specified
Units: deaths
Description: Deaths attributable to the exposure in different scenarios.~

Definition: var a:= Mort_risk_scenarios;~
a:=if a<0 then 0 else a;~
a:=if a>1 then 1 else a;~
a:= sum(if floor(Age/5)+1 = @age_cat then a else 0 , Age)/5;~
a:=a-a[exposure='Reference'];~
~
a:= a*Pop_in_time_ave;~
var b:=Table(Time_unit)(a, a*5);~
a:= if followup_time <2 then a else b;~
~
if Outcome= 'Change in EBD' then a[Exposure='Alternative']-a[Exposure='BAU'] else a~

Nodelocation: 472,424,1
Nodesize: 48,20
Windstate: 2,204,139,462,640
Valuestate: 2,122,156,740,513,0,MIDM
Aliases: Formnode Attributable_mortal1, Formnode Mortality__specified
Nodecolor: 65535,19661,38773
Graphsetup: {!40000|Att_graphvaluerange Ab_mortality_spec:|1:1,,0,,,,,8000,14K}~
{!40000|Att_graphvaluerange Graph_cdf_valdim:1,,1,1}~
{!40000|Att_graphvaluerange Graph_pdf_valdim:1,0,0,1,,,,0,200}
Reformval: [Fu_period,Age_cat,2,2,1]
Att__totalsindex: Index Age, Index Age_cat
{!40000|Att_resultslicestate: [Sex,1,Mort_endpoint,1,Time_unit,1,Exposure,1,Age_cat,10,Fu_period,9]}
{!40200|Att_graphsetupslices: [3,1,Densityindex,1]}

Objective Ad_le
Title: Age-adjusted life expectancy
Units: Years
Description: Age-adjusted life expectancy~

Definition: Var a:=Life_years;~
~
var b:= 0;~
var x:= 1;~
while x<= min([size(Age_cat),size(Period_lt)]) do (~
b:= b + a;~
a:= a[@Age_cat=@Age_cat+1, @Period_lt=@Period_lt+1];~
a:= if a=null then 0 else a;~
x:= x+1);~
~
b:=b[@Period_lt=1]/Pop_in_time_beg[@Period_lt=1];~
if isnan(b)=1 then 0 else b
Nodelocation: 264,392,1
Nodesize: 48,24
Windstate: 2,104,73,476,599
Valuestate: 2,217,195,419,505,0,MIDM
Aliases: Formnode Age_adjusted_life_ex, Formnode Age_specific_life_ex
Nodecolor: 65535,19661,38773
Reformval: [Exposure,Age_cat]
{!40000|Att_resultslicestate: [Sex,2,Age_cat,1,Exposure,3]}

Variable Pop_frac
Title: Fraction of exposed population
Definition: Table(Exposure)(~
1,1,1)
Nodelocation: 416,120,1
Nodesize: 48,24
Windstate: 2,88,119,476,224
Defnstate: 2,179,207,411,195,0,MIDM
Valuestate: 2,254,283,416,303,0,MIDM
Aliases: Formnode Fraction_of_exposed_, Formnode Fraction_of_exposed1
Nodecolor: 65535,52427,61166

Variable Life_lost
Title: Loss of life at death
Units: Years/death
Definition: Table(Age_cat,Sex,Mort_endpoint)(~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0~
)
Nodelocation: 80,576,1
Nodesize: 48,24
Windstate: 2,134,115,476,224
Defnstate: 2,143,110,414,526,0,MIDM
Valuestate: 2,187,304,416,387,0,MIDM
Aliases: Formnode Loss_of_life_at_deat
Nodecolor: 65535,52427,61166
Reformdef: [Mort_endpoint,Age_cat]
Reformval: [Sex,Age_cat]
{!40000|Att_resultslicestate: [Mort_endpoint,1,Age_cat,1,Sex,1]}

Variable Pv_life_year
Title: PV of a life year
Description: Present value of one life year~

Definition: var a:=Period_lt-Start_year+2.5;~
var b:= Discount/100;~
(1+b)^-a~
~

Nodelocation: 744,456,1
Nodesize: 48,20
Windstate: 2,111,148,476,291
Valuestate: 2,201,137,345,447,0,MIDM
Nodecolor: 19661,48336,65535

Module Technical_nodes1
Title: Mortality ERF
Author: vkoe
Date: 1. Junta 2009 8:35
Defaultsize: 48,24
Nodelocation: 80,208,1
Nodesize: 48,24
Diagstate: 2,171,189,346,316,17
Nodecolor: 65535,52427,61166

Variable Mortality_erf
Title: Mortality ERF
Description: Exposure-response function for mortality endpoint
Definition: If Mort_erf_age_class = 'No' then Mort_erf_gen else Mort_erf_as
Nodelocation: 208,152,1
Nodesize: 48,24
Valuestate: 2,87,112,601,655,0,MIDM
Reformval: [Mort_endpoint,Age]
{!40000|Att_resultslicestate: [Sex,1,Erf_type,1,Age1,1,Mort_endpoint,1]}

Decision Mort_erf_age_class
Title: Age-specific mortality ERF
Definition: Choice(Self,2)
Nodelocation: 208,56,1
Nodesize: 48,24
Windstate: 2,102,90,476,224
Aliases: Formnode Type_of_mortality_er, Formnode Age_specific_mortal2
Domain: ['No','Yes']

Variable Mort_erf_gen
Title: General mortality ERF
Description: Exposure-response functions for mortality, defined as relative risk (RR)~
~
This node is used if ERF is the same for all age groups~
~
*Relative risk =1 if there is no known dependence between the studied exposure and a particular cause of death~
*Absolute risk = 0 If there is no known dependence between the studied exposure and a particular cause of death
Definition: Table(Sex,Erf_type,Mort_endpoint)(~
1,1,~
0,0~
)
Nodelocation: 80,96,1
Nodesize: 48,24
Nodeinfo: 1,1,1,1,1,1,0,,0,
Windstate: 2,102,90,476,224
Defnstate: 2,209,148,416,303,0,MIDM
Valuestate: 2,259,324,416,303,0,MIDM
Aliases: Formnode General_mortality_er
Nodecolor: 65535,52427,57888
Reformdef: [Sex,Mort_endpoint]
Reformval: [Sex,Mort_endpoint]
Displayoutputs: []
{!40000|Att_editslicestate: [Erf_type,1,Mort_endpoint,1,Sex,1]}

Variable Mort_erf_as
Title: Age-specific mortality ERF
Description: Exposure-response functions for mortality, defined as relative risk (RR)~
~
This node is used if the ERF differs between age groups~
~
*Relative risk =1 if there is no known dependence between the studied exposure and a particular cause of death~
*Absolute risk = 0 If there is no known dependence between the studied exposure and a particular cause of death
Definition: Table(Age,Sex,Mort_endpoint,Erf_type)(~
1,0,~
1,0,~
1,0,~
1,0,~
1,0,~
1,0,~
1,0,~
1,0,~
1,0,~
1,0,~
1,0,~
1,0,~
1,0,~
1,0,~
1,0,~
1,0,~
1,0,~
1,0,~
1,0,~
1,0,~
1,0,~
1,0,~
1,0,~
1,0,~
1,0,~
1,0,~
1,0,~
1,0,~
1,0,~
1,0,~
1,0,~
1,0,~
1,0,~
1,0,~
1,0,~
1,0,~
1,0,~
1,0,~
1,0,~
1,0,~
1,0,~
1,0,~
1,0,~
1,0,~
1,0,~
1,0,~
1,0,~
1,0,~
1,0,~
1,0,~
1,0,~
1,0,~
1,0,~
1,0,~
1,0,~
1,0,~
1,0,~
1,0,~
1,0,~
1,0,~
1.06,0,~
1,0,~
1.06,0,~
1,0,~
1.06,0,~
1,0,~
1.06,0,~
1,0,~
1.06,0,~
1,0,~
1.06,0,~
1,0,~
1.06,0,~
1,0,~
1.06,0,~
1,0,~
1.06,0,~
1,0,~
1.06,0,~
1,0,~
1.06,0,~
1,0,~
1.06,0,~
1,0,~
1.06,0,~
1,0,~
1.06,0,~
1,0,~
1.06,0,~
1,0,~
1.06,0,~
1,0,~
1.06,0,~
1,0,~
1.06,0,~
1,0,~
1.06,0,~
1,0,~
1.06,0,~
1,0,~
1.06,0,~
1,0,~
1.06,0,~
1,0,~
1.06,0,~
1,0,~
1.06,0,~
1,0,~
1.06,0,~
1,0,~
1.06,0,~
1,0,~
1.06,0,~
1,0,~
1.06,0,~
1,0,~
1.06,0,~
1,0,~
1.06,0,~
1,0,~
1.06,0,~
1,0,~
1.06,0,~
1,0,~
1.06,0,~
1,0,~
1.06,0,~
1,0,~
1.06,0,~
1,0,~
1.06,0,~
1,0,~
1.06,0,~
1,0,~
1.06,0,~
1,0,~
1.06,0,~
1,0,~
1.06,0,~
1,0,~
1.06,0,~
1,0,~
1.06,0,~
1,0,~
1.06,0,~
1,0,~
1.06,0,~
1,0,~
1.06,0,~
1,0,~
1.06,0,~
1,0,~
1.06,0,~
1,0,~
1.06,0,~
1,0,~
1.06,0,~
1,0,~
1.06,0,~
1,0,~
1.06,0,~
1,0,~
1.06,0,~
1,0,~
1.06,0,~
1,0,~
1.06,0,~
1,0,~
1.06,0,~
1,0,~
1.06,0,~
1,0,~
1.06,0,~
1,0,~
1.06,0,~
1,0,~
1.06,0,~
1,0,~
1.06,0,~
1,0,~
1.06,0,~
1,0,~
1.06,0,~
1,0,~
1.06,0,~
1,0,~
1.06,0,~
1,0,~
1.06,0,~
1,0,~
1.06,0,~
1,0,~
1.06,0,~
1,0,~
1.06,0,~
1,0,~
1.06,0,~
1,0,~
1.06,0,~
1,0~
)
Nodelocation: 80,152,1
Nodesize: 48,24
Windstate: 2,125,89,476,323
Defnstate: 2,176,138,545,681,0,MIDM
Valuestate: 2,152,162,511,641,0,MIDM
Aliases: Formnode Age_specific_mortali
Nodecolor: 65535,52427,57888
Reformdef: [Mort_endpoint,Age]
Reformval: [Mort_endpoint,Age]
{!40000|Att_resultslicestate: [Sex,1,Erf_type,2,Age1,1,Mort_endpoint,1]}
{!40000|Att_editslicestate: [Sex,1,Erf_type,1,Age1,1,Mort_endpoint,1]}

Variable Mort_erf_unit
Title: Mortality ERF unit
Description: Number of exposure units the relative risk for mortality refers to.
Definition: Table(Mort_endpoint)(~
10,0)
Nodelocation: 80,208,1
Nodesize: 48,24
Defnstate: 2,115,212,416,303,0,MIDM
Valuestate: 2,197,343,416,303,0,MIDM
Aliases: Formnode Mortality_erf_unit, Formnode Mortality_erf_unit1
Nodecolor: 65535,52427,57888

Close Technical_nodes1

Module Technical_nodes2
Title: Morbidity ERF
Author: vkoe
Date: 1. Junta 2009 8:35
Defaultsize: 48,24
Nodelocation: 744,208,1
Nodesize: 48,24
Diagstate: 2,145,159,315,324,17
Nodecolor: 65535,52427,61166

Variable Morbidity_erf
Title: Morbidity ERF
Units: -
Description: Exposure-response function for morbidity endpoint
Definition: if Morb_erf_age_class = 'Yes' then Morbidity_erf_as else Morbidity_erf_gen
Nodelocation: 200,152,1
Nodesize: 48,24
Windstate: 2,595,61,534,370
Valuestate: 2,18,139,592,458,0,MIDM
Reformval: [Morb_endpoint,Erf_type]
{!40000|Att_resultslicestate: [Sex,1,Erf_type,2,Age1,1,Morb_endpoint,1]}

Variable Morbidity_erf_as
Title: Age-specific morbidity ERF
Description: Exposure-response functions for morbidity, defined as relative risk (RR)~
~
This node is used if the ERF differs between age groups~
~
*Age classification: 1 year intervals. ~
*Sex classification: can be used if necessary~
*RR=1 is used if If there is no known dependence between the studied exposure and a particular morbidity
Definition: Table(Age,Sex,Erf_type,Morb_endpoint)(~
1,1,~
0,0,~
1,1,~
0,0,~
1,1,~
0,0,~
1,1,~
0,0,~
1,1,~
0,0,~
1,1,~
0,0,~
1,1,~
0,0,~
1,1,~
0,0,~
1,1,~
0,0,~
1,1,~
0,0,~
1,1,~
0,0,~
1,1,~
0,0,~
1,1,~
0,0,~
1,1,~
0,0,~
1,1,~
0,0,~
1,1,~
0,0.902,~
1,1,~
0,0.902,~
1,1,~
0,0.902,~
1,1,~
0,0.902,~
1,1,~
0,0.902,~
1,1,~
0,0.902,~
1,1,~
0,0.902,~
1,1,~
0,0.902,~
1,1,~
0,0.902,~
1,1,~
0,0.902,~
1,1,~
0,0.902,~
1,1,~
0,0.902,~
1,1,~
53.3u,0.902,~
1,1,~
53.3u,0.902,~
1,1,~
53.3u,0.902,~
1,1,~
53.3u,0.902,~
1,1,~
53.3u,0.902,~
1,1,~
53.3u,0.902,~
1,1,~
53.3u,0.902,~
1,1,~
53.3u,0.902,~
1,1,~
53.3u,0.902,~
1,1,~
53.3u,0.902,~
1,1,~
53.3u,0.902,~
1,1,~
53.3u,0.902,~
1,1,~
53.3u,0.902,~
1,1,~
53.3u,0.902,~
1,1,~
53.3u,0.902,~
1,1,~
53.3u,0.902,~
1,1,~
53.3u,0.902,~
1,1,~
53.3u,0.902,~
1,1,~
53.3u,0.902,~
1,1,~
53.3u,0.902,~
1,1,~
53.3u,0.902,~
1,1,~
53.3u,0.902,~
1,1,~
53.3u,0.902,~
1,1,~
53.3u,0.902,~
1,1,~
53.3u,0.902,~
1,1,~
53.3u,0.902,~
1,1,~
53.3u,0.902,~
1,1,~
53.3u,0.902,~
1,1,~
53.3u,0.902,~
1,1,~
53.3u,0.902,~
1,1,~
53.3u,0.902,~
1,1,~
53.3u,0.902,~
1,1,~
53.3u,0.902,~
1,1,~
53.3u,0.902,~
1,1,~
53.3u,0.902,~
1,1,~
53.3u,0.902,~
1,1,~
53.3u,0.902,~
1,1,~
53.3u,0.902,~
1,1,~
53.3u,0,~
1,1,~
53.3u,0,~
1,1,~
53.3u,0,~
1,1,~
53.3u,0,~
1,1,~
53.3u,0,~
1,1,~
53.3u,0,~
1,1,~
53.3u,0,~
1,1,~
53.3u,0,~
1,1,~
53.3u,0,~
1,1,~
53.3u,0,~
1,1,~
53.3u,0,~
1,1,~
53.3u,0,~
1,1,~
53.3u,0,~
1,1,~
53.3u,0,~
1,1,~
53.3u,0,~
1,1,~
53.3u,0,~
1,1,~
53.3u,0,~
1,1,~
53.3u,0,~
1,1,~
53.3u,0,~
1,1,~
53.3u,0,~
1,1,~
53.3u,0,~
1,1,~
53.3u,0,~
1,1,~
53.3u,0,~
1,1,~
53.3u,0,~
1,1,~
53.3u,0,~
1,1,~
53.3u,0,~
1,1,~
53.3u,0,~
1,1,~
53.3u,0,~
1,1,~
53.3u,0,~
1,1,~
53.3u,0,~
1,1,~
53.3u,0,~
1,1,~
53.3u,0,~
1,1,~
53.3u,0,~
1,1,~
53.3u,0,~
1,1,~
53.3u,0~
)
Nodelocation: 80,152,1
Nodesize: 48,24
Windstate: 2,183,216,488,475
Defnstate: 2,81,63,532,755,0,MIDM
Valuestate: 2,397,1,451,895,0,MIDM
Aliases: Formnode Morbidity_exposure__
Nodecolor: 65535,52427,57888
Reformdef: [Morb_endpoint,Age]
Reformval: [Morb_endpoint,Age]
{!40000|Att_editslicestate: [Sex,1,Erf_type,2,Age,1,Morb_endpoint,1]}
Reference: Cafe raport

Variable Morbidity_erf_gen
Title: General morbidity ERF
Description: Exposure-response functions for morbidity, defined as relative risk (RR)~
~
This node is used if ERF is the same for all age groups~
~
*No age classification. ~
*Sex classification: can be used if necessary~
*RR=1 is used if If there is no known dependence between the studied exposure and a particular morbidity
Definition: Table(Sex,Erf_type,Morb_endpoint)(~
1,1,~
0,0~
)
Nodelocation: 80,96,1
Nodesize: 48,24
Defnstate: 2,149,192,416,303,0,MIDM
Valuestate: 2,246,312,416,303,0,MIDM
Aliases: Formnode General_morbidity_er
Nodecolor: 65535,52427,57888
Reformdef: [Sex,Morb_endpoint]
Reformval: [Sex,Morb_endpoint]
{!40000|Att_editslicestate: [Erf_type,1,Morb_endpoint,1,Sex,1]}

Variable Morb_erf_unit
Title: Morbidity ERF unit
Description: Number of exposure units the relative risk for morbidity refers to.
Definition: Table(Morb_endpoint)(~
1,10)
Nodelocation: 80,208,1
Nodesize: 48,24
Windstate: 2,141,188,476,224
Defnstate: 2,184,217,416,303,0,MIDM
Valuestate: 2,261,321,416,303,0,MIDM
Aliases: Formnode Morbidity_erf_unit, Formnode Morbidity_erf_unit1
Nodecolor: 65535,52427,57888

Decision Morb_erf_age_class
Title: Age-specific morbidity ERF
Definition: Choice(Self,1)
Nodelocation: 200,64,1
Nodesize: 52,29
Aliases: Formnode Type_of_morbidity_e1, Formnode Age_specific_morbidi
Domain: ['Yes','No']

Close Technical_nodes2

Module Technical_nodes3
Title: Duration of morbidity
Author: vkoe
Date: 1. Junta 2009 8:35
Defaultsize: 48,24
Nodelocation: 744,520,1
Nodesize: 48,24
Diagstate: 2,143,103,359,300,17
Nodecolor: 65535,52427,61166

Variable Duration
Title: Duration of morbidity
Units: Years
Definition: if Duration_age_class = 'No' then Duration_gen else Duration_as
Nodelocation: 224,144,1
Nodesize: 48,24
Valuestate: 2,221,376,416,303,0,MIDM
Reformval: [Sex,Morb_endpoint]

Variable Duration_as
Title: Age-specific duration of morbidity
Units: Years
Description: Incidence endpoint: duration of the disease in years~
Prevalence endpoint: duration = 1 year
Definition: Table(Age_cat,Sex,Morb_endpoint)(~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0~
)
Nodelocation: 96,192,1
Nodesize: 48,24
Windstate: 2,93,99,482,362
Defnstate: 2,255,263,392,451,0,MIDM
Valuestate: 2,257,310,416,303,0,MIDM
Aliases: Formnode Duration_of_disease
Nodecolor: 65535,52427,57888
Reformdef: [Morb_endpoint,Age_cat]
Reformval: [Morb_endpoint,Age_cat]

Variable Duration_gen
Title: General duration of morbidity
Units: Years
Description: Incidence endpoint: duration of the disease in years~
Prevalence endpoint: duration = 1 year
Definition: Table(Sex,Morb_endpoint)(~
8,1/365~
)
Nodelocation: 96,136,1
Nodesize: 48,24
Defnstate: 2,250,285,416,303,0,MIDM
Valuestate: 2,268,374,416,303,0,MIDM
Aliases: Formnode General_duration_of_
Nodecolor: 65535,52427,61166
Reformdef: [Sex,Morb_endpoint]
Reformval: [Sex,Morb_endpoint]

Decision Duration_age_class
Title: Age-specific duration of morbidity
Definition: Choice(Self,1)
Nodelocation: 96,72,1
Nodesize: 48,29
Valuestate: 2,223,352,416,303,0,MIDM
Aliases: Formnode Age_specific_durati1
Domain: ['No','Yes']

Close Technical_nodes3

Module Technical_nodes4
Title: Disability severity weight
Author: vkoe
Date: 1. Junta 2009 8:35
Defaultsize: 48,24
Nodelocation: 744,576,1
Nodesize: 48,24
Diagstate: 2,146,132,330,303,17
Nodecolor: 65535,52427,61166

Variable Daly_weight
Title: Severity weight
Definition: If Severity_age_class = 'No' then DALY_weight_gen else DALY_weight_as
Nodelocation: 208,112,1
Nodesize: 48,24
Valuestate: 2,328,410,416,303,0,MIDM
Att__totalsindex: Index Morb_endpoint

Variable Daly_weight_as
Title: Age-specific severity weight
Description: Daly weights for morbidity~
~
Current data:~
Arbitrary weights
Definition: Table(Age_cat,Sex,Morb_endpoint)(~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0~
)
Nodelocation: 88,168,1
Nodesize: 48,24
Windstate: 2,102,90,476,224
Defnstate: 2,278,279,425,515,0,MIDM
Valuestate: 2,235,272,364,461,0,MIDM
Aliases: Formnode Weight1
Nodecolor: 65535,52427,57888
Reformdef: [Morb_endpoint,Age_cat]
Reformval: [Morb_endpoint,Age_cat]
Reference: WHO

Variable Daly_weight_gen
Title: General severity weight
Definition: Table(Sex,Morb_endpoint)(~
0.15,0.09900000000000001~
)
Nodelocation: 88,112,1
Nodesize: 48,24
Defnstate: 2,288,293,416,303,0,MIDM
Valuestate: 2,288,390,416,303,0,MIDM
Aliases: Formnode General_severity_wei
Nodecolor: 65535,52427,61166
Reformdef: [Sex,Morb_endpoint]

Decision Severity_age_class
Title: Age-specific severity weight
Definition: Choice(Self,2)
Nodelocation: 88,48,1
Nodesize: 48,29
Valuestate: 2,232,352,416,303,0,MIDM
Aliases: Formnode Age_specific_severit
Domain: ['Yes','No']

Close Technical_nodes4

Module Exposure1
Title: Exposure
Author: vkoe
Date: 5. Novta 2009 13:17
Defaultsize: 48,24
Nodelocation: 416,64,1
Nodesize: 48,24
Diagstate: 2,169,185,529,322,17
Nodecolor: 65535,52427,61166

Variable Exposures
Title: Exposure
Description: ~

Definition: var a:=Exp_age_class;~
var b:=Exp_year_class;~
var c:=Exp_gen;~
var d:=Exp_age;~
var e:=Exp_year;~
var f:=Exp_year_age;~
~
if Assessment_type = 'Total burden of disease' then~
~
if a = 'Yes' then d else c~
~
else~
~
if b = 'No' and a = 'No' then c else (if b = 'Yes' and a = 'No' then e else (if b = 'No' and a = 'Yes' then d else f))
Nodelocation: 288,120,1
Nodesize: 48,24
Nodeinfo: 1,1,1,1,1,1,0,,0,
Windstate: 2,593,53,490,653
Defnstate: 2,280,2,416,303,0,MIDM
Valuestate: 2,180,214,485,356,0,MIDM
Nodecolor: 19661,48336,65535
Graphsetup: {!40000|Att_graphvaluerange Graph_pdf_valdim:1,0,1,1,,,,0,1}~
{!40000|Att_graphvaluerange Exposures:1,,1,,,,,0,1}~
{!40000|Att_contlinestyle Run:0}
Reformdef: [Exposure,Fu_period]
Reformval: [Exposure,Fu_period]
{!40000|Att_resultslicestate: [Exposure,1,Age_cat,1,Fu_period,1]}
Reference: Cafe raport

Index Exposure
Title: Exposure
Description: Jouni 14.6.2009: I changed the name from Scen to Exposure because this is not just a list of scenarios, it is specifically the list of counterfactual exposure scenarios.~
~
Row 'Impacted' is changed to 'Alternative scenario' because a) also people in BAU are impacted and b) we don't know a priori whether the alternative scenario is a higher or lower exposure.~
______________________~
~
Exposure scenarios.
Definition: ['BAU','Alternative','Reference']
Nodelocation: 288,152,1
Nodesize: 52,12
Nodeinfo: 1,1,1,1,1,1,0,0,0,0
Windstate: 2,614,154,476,262
{!40203|Att_slicerpopupsize: 232,56}
{!40000|Att_previndexvalue: ['BAU','Alternative','Reference']}

Decision Exp_age_class
Title: Age-specific exposure
Definition: Choice(Self,2)
Nodelocation: 240,40,1
Nodesize: 48,24
Aliases: Formnode Age_specific_exposur, Formnode Age_specific_exposu2
Domain: ['Yes','No']

Decision Exp_year_class
Title: Year-specific exposure
Definition: Choice(Self,1)
Nodelocation: 352,40,1
Nodesize: 48,24
Aliases: Formnode Year_specific_exposu
Domain: ['Yes','No']

Variable Exp_year
Title: Year-specific exposure
Definition: Table(Fu_period,Sex,Exposure)(~
9,8,0,~
9,8,0,~
9,8,0,~
9,8,0~
)
Nodelocation: 112,120,1
Nodesize: 48,24
Windstate: 2,98,90,476,224
Defnstate: 2,201,96,501,430,0,MIDM
Aliases: Formnode Year_specific_expos1
Nodecolor: 65535,52427,57888
Reformdef: [Exposure,Fu_period]
Reformval: [Exposure,Fu_period]
{!40000|Att_editslicestate: [Sex,1,Fu_period,1,Exposure,1]}

Variable Exp_age
Title: Age-specific exposure
Definition: Table(Age,Sex,Exposure)(~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0~
)
Nodelocation: 112,176,1
Nodesize: 48,24
Defnstate: 2,184,212,383,475,0,MIDM
Aliases: Formnode Age_specific_exposu1, Formnode Age_specific_exposu3
Nodecolor: 65535,52427,57888
Reformdef: [Exposure,Age]
Reformval: [Exposure,Age]

Variable Exp_gen
Title: General exposure
Definition: Table(Sex,Exposure)(~
9,8,0~
)
Nodelocation: 112,64,1
Nodesize: 48,24
Defnstate: 2,227,273,416,303,0,MIDM
Valuestate: 2,275,352,416,303,0,MIDM
Aliases: Formnode General_exposure, Formnode General_exposure1
Nodecolor: 65535,52427,57888
Reformdef: [Sex,Exposure]

Variable Exp_year_age
Title: Year and age-specific exposure
Definition: Table(Age,Fu_period,Sex,Exposure)(~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0,~
0,0,0~
)
Nodelocation: 112,232,1
Nodesize: 48,24
Defnstate: 2,181,117,480,445,0,MIDM
Aliases: Formnode Year_and_age_specifi
Nodecolor: 65535,52427,57888
Reformdef: [Fu_period,Age]
Reformval: [Fu_period,Age_cat]
{!40000|Att_editslicestate: [Sex,1,Exposure,2,Age,1,Fu_period,1]}

Close Exposure1

Objective Ad_le_loss
Title: Loss of age-adjusted life expectancy
Units: Years
Definition: var a:=Ad_le;~
a[Exposure='Reference']-a
Nodelocation: 264,448,1
Nodesize: 48,24
Valuestate: 2,185,146,416,460,0,MIDM
Aliases: Formnode Loss_of_age_adjusted, Formnode Loss_of_age_specifi1
Reformval: [Exposure,Age_cat]
{!40000|Att_resultslicestate: [Age1,1,Sex,1,Sys_localindex('PROBABILITY'),1,Exposure,1]}

Objective Le_loss
Title: Loss of life expectancy in birth cohort
Units: Years
Definition: var a:=Le_cohort;~
a[Exposure='Reference']-a
Nodelocation: 368,448,1
Nodesize: 48,24
Windstate: 2,109,95,476,276
Valuestate: 2,227,154,458,200,0,MIDM
Aliases: Formnode Loss_of_life_expecta, Formnode Loss_of_life_expect1
Reformval: [Sex,Exposure,Undefined,2]

Module Nodes1
Title: Mortality outcome scenarios
Author: vkoe
Date: 22. Janta 2009 14:46
Defaultsize: 48,24
Nodelocation: 80,280,1
Nodesize: 48,28
Diagstate: 2,132,108,453,449,17
Nodecolor: 65535,52427,61166

Variable Change_mort_gen
Title: General change in attributable mortality risk
Units: %
Description: Precentage change in the mortality risk~
~
Note! Change refers to the change in risk in comparison to the mortality risk in the start of the assessment, NOT in comparison to the previous 5-year follow-up step.~

Definition: Table(Age,Sex,Mort_endpoint,Scenario)(~
0,0,~
0,100,~
0,0,~
0,100,~
0,0,~
0,100,~
0,0,~
0,100,~
0,0,~
0,100,~
0,0,~
0,100,~
0,0,~
0,100,~
0,0,~
0,100,~
0,0,~
0,100,~
0,0,~
0,100,~
0,0,~
0,100,~
0,0,~
0,100,~
0,0,~
0,100,~
0,0,~
0,100,~
0,0,~
0,100,~
0,0,~
0,100,~
0,0,~
0,100,~
0,0,~
0,100,~
0,0,~
0,100,~
0,0,~
0,100,~
0,0,~
0,100,~
0,0,~
0,100,~
0,0,~
0,100,~
0,0,~
0,100,~
0,0,~
0,100,~
0,0,~
0,100,~
0,0,~
0,100,~
0,0,~
0,100,~
0,0,~
0,100,~
0,0,~
0,100,~
0,0,~
0,100,~
0,0,~
0,100,~
0,0,~
0,100,~
0,0,~
0,100,~
0,0,~
0,100,~
0,0,~
0,100,~
0,0,~
0,100,~
0,0,~
0,100,~
0,0,~
0,100,~
0,0,~
0,100,~
0,0,~
0,100,~
0,0,~
0,100,~
0,0,~
0,100,~
0,0,~
0,100,~
0,0,~
0,100,~
0,0,~
0,100,~
0,0,~
0,100,~
0,0,~
0,100,~
0,0,~
0,100,~
0,0,~
0,100,~
0,0,~
0,100,~
0,0,~
0,100,~
0,0,~
0,100,~
0,0,~
0,100,~
0,0,~
0,100,~
0,0,~
0,100,~
0,0,~
0,100,~
0,0,~
0,100,~
0,0,~
0,100,~
0,0,~
0,100,~
0,0,~
0,100,~
0,0,~
0,100,~
0,0,~
0,100,~
0,0,~
0,100,~
0,0,~
0,100,~
0,0,~
0,100,~
0,0,~
0,100,~
0,0,~
0,100,~
0,0,~
0,100,~
0,0,~
0,100,~
0,0,~
0,100,~
0,0,~
0,100,~
0,0,~
0,100,~
0,0,~
0,100,~
0,0,~
0,100,~
0,0,~
0,100,~
0,0,~
0,100,~
0,0,~
0,100,~
0,0,~
0,100,~
0,0,~
0,100,~
0,0,~
0,100,~
0,0,~
0,100,~
0,0,~
0,100,~
0,0,~
0,100,~
0,0,~
0,100,~
0,0,~
0,100,~
0,0,~
0,100,~
0,0,~
0,100,~
0,0,~
0,100,~
0,0,~
0,100,~
0,0,~
0,100,~
0,0,~
0,100,~
0,0,~
0,100,~
0,0,~
0,100,~
0,0,~
0,100,~
0,0,~
0,100,~
0,0,~
0,100,~
0,0,~
0,100,~
0,0,~
0,100,~
0,0,~
0,100~
)
Nodelocation: 88,217,1
Nodesize: 48,36
Windstate: 2,277,244,480,359
Defnstate: 2,238,131,482,658,0,MIDM
Valuestate: 2,173,215,416,483,0,MIDM
Aliases: Formnode Change_in_risk
Nodecolor: 65535,52427,61166
Reformdef: [Mort_endpoint,Age]
Reformval: [Mort_endpoint,Age]
{!40000|Att_resultslicestate: [Sex,1,Exposure,1,Age1,1,Mort_endpoint,1]}
{!40000|Att_editslicestate: [Sex,1,Scenario,2,Age,1,Mort_endpoint,1]}

Variable Input_mort_abfrac
Title: Attributable fraction in mortality data
Units: Fraction
Description: Fraction of mortality in mortallity input data attributable to the exposure of interest
Definition: Table(Age,Sex,Mort_endpoint)(~
0,1,~
0,1,~
0,1,~
0,1,~
0,1,~
0,1,~
0,1,~
0,1,~
0,1,~
0,1,~
0,1,~
0,1,~
0,1,~
0,1,~
0,1,~
0,1,~
0,1,~
0,1,~
0,1,~
0,1,~
0,1,~
0,1,~
0,1,~
0,1,~
0,1,~
0,1,~
0,1,~
0,1,~
0,1,~
0,1,~
0,1,~
0,1,~
0,1,~
0,1,~
0,1,~
0,1,~
0,1,~
0,1,~
0,1,~
0,1,~
0,1,~
0,1,~
0,1,~
0,1,~
0,1,~
0,1,~
0,1,~
0,1,~
0,1,~
0,1,~
0,1,~
0,1,~
0,1,~
0,1,~
0,1,~
0,1,~
0,1,~
0,1,~
0,1,~
0,1,~
0,1,~
0,1,~
0,1,~
0,1,~
0,1,~
0,1,~
0,1,~
0,1,~
0,1,~
0,1,~
0,1,~
0,1,~
0,1,~
0,1,~
0,1,~
0,1,~
0,1,~
0,1,~
0,1,~
0,1,~
0,1,~
0,1,~
0,1,~
0,1,~
0,1,~
0,1,~
0,1,~
0,1,~
0,1,~
0,1,~
0,1,~
0,1,~
0,1,~
0,1,~
0,1,~
0,1,~
0,1,~
0,1,~
0,1,~
0,1~
)
Nodelocation: 88,72,1
Nodesize: 48,32
Windstate: 2,302,266,476,224
Defnstate: 2,282,226,453,412,0,MIDM
Valuestate: 2,475,502,416,303,0,MIDM
Aliases: Formnode Fraction_of_baseline
Nodecolor: 65535,52427,61166
Reformdef: [Mort_endpoint,Age]
Reformval: [Mort_endpoint,Age]
Domain: ['item 1']

Variable Change_mort
Title: Change in attributable mortality risk
Definition: var a:= if Ys_change_mort = 'Yes' then Change_mort_ys else Change_mort_gen;~
Si_pi(a, 5, Age_cat, Age, Age_help)*5
Nodelocation: 208,216,1
Nodesize: 48,28
Windstate: 2,305,287,485,398
Valuestate: 2,277,205,435,550,0,MIDM
Reformval: [Exposure,Age]
Att__totalsindex: Index Age_cat
{!40000|Att_resultslicestate: [Sex,1,Mort_endpoint,1,Age,1,Exposure,1]}

Variable Change_mort_ys
Title: Year-specific change in attributable mortality risk
Units: %
Description: Precentage change in the mortality risk attributable to the exposure of interest.~
~
Note! Change refers to the change in risk in comparison to the mortality risk in the start of the assessment, NOT in comparison to the previous 5-year follow-up step.
Definition: Table(Age,Fu_period,Sex,Mort_endpoint,Scenario)(~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
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0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0~
)
Nodelocation: 88,296,1
Nodesize: 48,36
Windstate: 2,232,283,476,224
Defnstate: 2,119,191,619,449,0,MIDM
Valuestate: 2,424,438,508,469,0,MIDM
Aliases: Formnode Year_specific_chang3
Nodecolor: 65535,52427,61166
Reformdef: [Fu_period,Age]
Reformval: [Fu_period,Age]
{!40000|Att_resultslicestate: [Mort_endpoint,2,Sex,1,Exposure,1,Age1,1,Fu_period,1]}
{!40000|Att_editslicestate: [Sex,1,Exposure,1,Mort_endpoint,1,Age,1,Fu_period,1]}

Decision Ys_change_mort
Title: Year-specific input for mortality outcome
Definition: Choice(Self,2)
Nodelocation: 88,144,1
Nodesize: 48,32
Valuestate: 2,294,402,416,303,0,MIDM
Aliases: Formnode Year_specific_change
Domain: ['Yes','No']

Index Scenario
{!40000|Att_previndexvalue: ['BAU','Alternative']}
Title: Scenario
Definition: ['BAU','Alternative']
Nodelocation: 208,256,1
Nodesize: 48,12

Close Nodes1

Module Technical_nodes
Title: Morbidity outcome scenarios
Author: vkoe
Date: 12. Mayta 2009 15:35
Defaultsize: 48,24
Nodelocation: 744,280,1
Nodesize: 48,28
Diagstate: 2,170,138,366,435,17
Nodecolor: 65535,52427,61166

Variable Outcome_morb_gen
Title: General morbidity outcome
Units: % change or no. of cases
Description: Precentage change in the total morbidity risk attributable to the expoure/risk factor or number of attributable morbidity cases~
~
Note! Change refers to the change in risk in comparison to the morbidity risk in the start of the assessment, NOT in comparison to the previous 5-year follow-up step.
Definition: Table(Age,Sex,Morb_endpoint,Scenario)(~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
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0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0~
)
Nodelocation: 104,288,1
Nodesize: 48,28
Windstate: 2,283,261,476,351
Defnstate: 2,167,209,455,519,0,MIDM
Valuestate: 2,437,376,416,540,0,MIDM
Aliases: Formnode Change_in_morbidity_
Nodecolor: 65535,52427,61166
Reformdef: [Morb_endpoint,Age]
Reformval: [Morb_endpoint,Age]
{!40000|Att_resultslicestate: [Sex,1,Scenario,2,Age,1,Morb_endpoint,1]}
{!40000|Att_editslicestate: [Sex,1,Scenario,2,Age,1,Morb_endpoint,1]}

Decision Input_morb_outcome
Title: Input for morbidity outcome calculation
Definition: Choice(Self,1)
Nodelocation: 104,48,1
Nodesize: 48,36
Windstate: 2,366,308,476,224
Valuestate: 2,464,402,416,303,0,MIDM
Aliases: Formnode Type_of_change
Domain: ['Percentage change','No. of cases']

Variable Outcome_morb
Title: Morbidity outcome
Definition: if Ys_change_morb = 'Yes' then Outcome_morb_ys else Outcome_morb_gen
Nodelocation: 232,288,1
Nodesize: 48,24
Windstate: 2,208,252,476,224
Valuestate: 2,267,298,556,470,0,MIDM
Reformval: [Morb_endpoint,Age]
{!40000|Att_resultslicestate: [Sex,1,Scenario,1,Age,1,Morb_endpoint,1]}

Variable Input_morb_abfrac
Title: Attributable fraction in morbidity data
Description: Fraction of morbidity in morbidity input data attributable to the exposure of interest
Definition: Table(Age,Sex,Morb_endpoint)(~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
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0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0~
)
Nodelocation: 104,128,1
Nodesize: 48,36
Windstate: 2,257,286,476,224
Defnstate: 2,197,238,416,424,0,MIDM
Valuestate: 2,387,408,418,410,0,MIDM
Aliases: Formnode Fraction_of_of_basel
Nodecolor: 65535,52427,61166
Reformdef: [Morb_endpoint,Age]
Reformval: [Morb_endpoint,Age]

Decision Ys_change_morb
Title: Year-specific input for morbidity outcome
Definition: Choice(Self,2)
Nodelocation: 104,216,1
Nodesize: 48,32
Windstate: 2,299,319,476,224
Valuestate: 2,405,393,416,303,0,MIDM
Aliases: Formnode Year_specific_chang1
Domain: ['Yes','No']

Variable Outcome_morb_ys
Title: Year-specific morbidity outcome
Units: % change or no. of cases
Description: Precentage change in the total morbidity risk attributáble to the expoure/risk factor or number of attributable morbidity cases~
~
Note! Change refers to the change in risk in comparison to the morbidity risk in the start of the assessment, NOT in comparison to the previous 5-year follow-up step.
Definition: Table(Age,Fu_period,Sex,Morb_endpoint,Scenario)(~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
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)
Nodelocation: 104,352,1
Nodesize: 48,28
Windstate: 2,221,256,476,224
Defnstate: 2,132,163,612,436,0,MIDM
Valuestate: 2,314,401,654,415,0,MIDM
Aliases: Formnode Year_specific_chang2
Nodecolor: 65535,52427,61166
Reformdef: [Fu_period,Age]
Reformval: [Fu_period,Age]
Att__totalsindex: Index Age
{!40000|Att_resultslicestate: [Sex,1,Morb_endpoint,1,Scenario,2,Age,1,Fu_period,1]}
{!40000|Att_editslicestate: [Sex,1,Morb_endpoint,1,Scenario,1,Age,1,Fu_period,1]}

Close Technical_nodes

Text Te2
Nodelocation: 180,168,-1
Nodesize: 164,144
Nodeinfo: 1,0,0,1,0,1,0,,0,

Text Te3
Nodelocation: 416,168,-1
Nodesize: 64,144
Nodeinfo: 1,0,0,1,0,1,0,,0,

Text Te4
Nodelocation: 652,168,-1
Nodesize: 164,144
Nodeinfo: 1,0,0,1,0,1,0,,0,

Text Te5
Nodelocation: 104,540,-1
Nodesize: 88,84
Nodeinfo: 1,0,0,1,0,1,0,,0,

Text Te6
Nodelocation: 104,388,-1
Nodesize: 88,68
Nodeinfo: 1,0,0,1,0,1,0,,0,

Text Te8
Nodelocation: 732,556,-1
Nodesize: 84,68
Nodeinfo: 1,0,0,1,0,1,0,,0,

Text Te15
Nodelocation: 732,404,-1
Nodesize: 84,84
Nodeinfo: 1,0,0,1,0,1,0,,0,

Text Te125
Nodelocation: 412,476,-1
Nodesize: 220,148
Nodeinfo: 1,0,0,1,0,1,0,,0,

Module Population_in_time1
Title: Population in time
Author: vkoe
Date: 9. Febta 2010 10:56
Defaultsize: 48,24
Nodelocation: 416,280,1
Nodesize: 48,24
Diagstate: 2,102,163,424,325,17
Nodecolor: 19661,48336,65535

Index Age_child
{!40000|Att_previndexvalue: [0,1,2,3,4]}
Title: Age child
Definition: 0..4
Nodelocation: 72,80,1
Nodesize: 48,12

Variable Pop_in_time_child
Title: Population in time child
Definition: var k: Birth_rate[Fu_year=Year_lt];~
k:= if k = null then {k[@Year_lt=Followup_time]} 0 else k;~
var a:= if @Year_lt = 1 then Pop_data else (if @Age=1 then k else 0);~
a:= a[Age=age_child];~
~
var j:= sum(Mort_risk_scenarios,Mort_endpoint)[Age=age_child];~
j:=if Mort_effect = 'Acute' then j[Exposure='BAU'] else j;~
~
j:= if Year_spec = 'Yes' then ~
(j:=j[Fu_period=period_lt];~
j:= if j = null then j[Period_lt=max(Fu_period)] else j;~
j:= Si_pi(j, 5, Period_lt, Year_lt, Year_help)*5)~
else j;~
~
j:= if j < 0 then 0 else j;~
j:= if j > 2 then 2 else j;~
~
j:= 1-j;~
~
var x:= 1;~
while x<= min([size(age_child),size(Year_lt)]) do (~
var b:= a*j;~
b:= b[@age_child=@age_child-1, @Year_lt=@Year_lt-1];~
a:= if b=null then a else b;~
x:= x+1);~
~
sum(if Year_lt = period_vs_year then a else 0,Year_lt)~

Nodelocation: 72,48,1
Nodesize: 48,24
Windstate: 2,188,97,553,652
Valuestate: 2,104,242,688,319,0,MIDM
Reformval: [Period_lt,Age_child]
Att__totalsindex: Index Age, Index Age_child
{!40000|Att_resultslicestate: [Sex,1,Exposure,1,Age_child,3,Period_lt,3]}

Variable Pop_in_time_beg
Title: Population in time, beginning of time step
Description: Population projection for 100 years in different exposure scenarios. Population is modeled for the start year of each 5-year time step.~

Definition: var a:= sum(if floor(Age/5)+1 = @Age_cat then Pop_data else 0 , Age);~
a:= if @Age_cat=1 then sum(Pop_in_time_child, Age_child) else (if @period_lt = 1 then a else  0);~
~
var j:= sum(Mort_risk_scenarios,Mort_endpoint);~
j:=if Mort_effect = 'Acute' then j[Exposure='BAU'] else j;~
j:= if Year_spec = 'Yes' then~
(j:=j[Fu_period=Period_lt];~
j:= if j = null then j[Exposure='Reference',Period_lt=max(Fu_period)] else j)~
else j;~
~
j:= if j < 0 then 0 else j;~
j:= if j > 2 then 2 else j;~
~
j:= 1-j;~
~
j:= sum(if floor(Age/5)+1 = @Age_cat then j else 0 , Age)/5;~
var m:=j[@Age_cat=@Age_cat+1];~
m:= if m=null then 0 else m;~
var n:=((j^5)+(j^4*m)+(j^3*m^2)+(j^2*m^3)+(j*m^4))/5;~
~
var x:= 1;~
while x<= min([size(Age_cat),size(Period_lt)]) do (~
var b:= a*n;~
b:= b[@Age_cat=@Age_cat-1, @Period_lt=@Period_lt-1];~
a:= if b=null then a else b;~
x:= x+1);~
a~
~

Nodelocation: 184,48,1
Nodesize: 48,32
Windstate: 2,89,106,569,714
Valuestate: 2,118,193,1031,567,0,MIDM
Reformval: [Period_lt,Age_cat]
Att__totalsindex: Index Age_cat, Index Period_lt
{!40000|Att_resultslicestate: [Sex,1,Exposure,1,Age_cat,0,Period_lt,1]}

Variable Pop_in_time_ave
Title: Population in time, average for time step
Description: Average annual population number for each 5-year time step during the follow-up period.~

Definition: var a:=Pop_in_time_beg[Period_lt=Fu_period];~
var b:=(Pop_in_time_beg[@Period_lt=@Period_lt+1])[Period_lt=Fu_period];~
b:= if b = null then a[Fu_period=max(Fu_period)] else b;~
b:=(a+b)/2;~
if followup_time <2 then a else b
Nodelocation: 296,48,1
Nodesize: 48,32
Windstate: 2,72,90,537,592
Valuestate: 2,125,187,754,494,0,MIDM
Reformval: [Fu_period,Age_cat]
Att__totalsindex: Index Age_cat
{!40000|Att_resultslicestate: [Sex,1,Exposure,1,Age_cat,1,Fu_period,1]}

Variable Life_years
Title: Life years in time
Units: years
Description: Calculates the number of life years lived by a given 5-year age group in a given 5-year time step 100 years onwards from the beginning of the assessment.
Definition: var a:= Pop_in_time_beg;~
~
var b:=sum(Mort_risk_scenarios,Mort_endpoint);~
b:= if Mort_effect = 'Acute' then b[Exposure='BAU'] else b; ~
b:= if Year_spec = 'Yes' then~
(b:=b[Fu_period=period_lt];~
b:= if b = null then b[Exposure='Reference',Period_lt=max(Fu_period)] else b)~
else b;~
~
b:= if b < 0 then 0 else b;~
b:= if b>1 then 1 else b;~
~
b:= 1-b;~
~
b:= sum(if floor(Age/5)+1 = @Age_cat then b else 0 , Age)/5;~
var c:=b[@Age_cat=@Age_cat+1];~
c:= if c=null then c[Age_cat='90-94'] else c;~
var d:=((b^5)+(b^4*c)+(b^3*c^2)+(b^2*c^3)+(b*c^4))/5;~
~
var e:= a-(a*d);~
((a*d*5)+e*2.5)*Age_weight*Pv_life_year~

Nodelocation: 184,120,1
Nodesize: 48,24
Windstate: 2,93,126,476,635
Valuestate: 2,57,123,620,582,0,MIDM
Reformval: [Period_lt,Age_cat]
Att__totalsindex: Index Age_cat, Index Period_lt
{!40000|Att_resultslicestate: [Sex,1,Exposure,1,Age_cat,0,Period_lt,1]}

Variable Va1
Definition: var j:= sum(Mort_risk_scenarios,Mort_endpoint);~
j:=if Mort_effect = 'Acute' then j[Exposure='BAU'] else j;~
j:= if Year_spec = 'Yes' then~
(j:=j[Fu_period=Period_lt];~
j:= if j = null then j[Exposure='Reference',Period_lt=max(Fu_period)] else j)~
else j;
Nodelocation: 240,200,1
Nodesize: 48,24
Reformval: [Age,Period_lt]
{!40000|Att_resultslicestate: [Sex,1,Exposure,3,Period_lt,1,Age,1]}

Close Population_in_time1

Objective Ab_mortality_tot
Title: Mortality, total
Units: deaths/follow-up period
Definition: sum(Ab_mortality_spec,age_cat,Fu_period)[Time_unit='5-year period']
Nodelocation: 472,456,1
Nodesize: 48,12
Windstate: 2,119,145,476,224
Valuestate: 2,144,155,390,333,0,MIDM
Aliases: Formnode Mortality__total, Formnode Mortality__total1
Graphsetup: {!40000|Att_graphvaluerange Graph_pdf_valdim:1,0,0,1,,,,0,1m}
Reformval: [Exposure,Mort_endpoint,Undefined,2]
{!40000|Att_resultslicestate: [Sex,1,Pop_unit,1,Exposure,1,Mort_endpoint,1]}

Objective Ab_morbidity_tot
Title: Morbidity, total
Units: cases/follow-up period
Definition: sum(sum(Ab_morbidity_spec,age_cat),Fu_period)[Time_unit='5-year period']
Nodelocation: 576,456,1
Nodesize: 48,12
Valuestate: 2,154,150,413,208,0,MIDM
Aliases: Formnode Morbidity__total, Formnode Morbidity__total1
Reformval: [Exposure,Morb_endpoint]
{!40000|Att_resultslicestate: [Sex,1,Pop_unit,1,Exposure,1,Morb_endpoint,1]}

Objective Yll_tot
Title: YLL, total
Units: years/follow-up period
Definition: if Assessment_type = 'Total burden of disease' then~
~
sum(Yll_spec,Age)~
~
else~
~
sum(Yll_spec,age_cat,fu_period)[Time_unit='5-year period']
Nodelocation: 264,600,1
Nodesize: 48,12
Windstate: 2,110,129,476,317
Valuestate: 2,155,308,384,236,0,MIDM
Aliases: Formnode Yll__total, Formnode Yll__total1, Formnode Yll__total2
Reformval: [Sex,Exposure]
Att__totalsindex: Index Mort_endpoint
{!40000|Att_resultslicestate: [Mort_endpoint,1,Fu_period,2,Exposure,1,Sex,1]}

Objective Daly_tot
Title: DALY, total
Units: years/follow-up period
Definition: if Assessment_type = 'Total burden of disease' then~
~
sum(Daly_spec,Age)~
~
else~
~
sum(Daly_spec,Age_cat,Fu_period)[Time_unit='5-year period']
Nodelocation: 416,608,1
Nodesize: 48,12
Windstate: 2,102,90,476,406
Valuestate: 2,230,310,325,245,0,MIDM
Aliases: Formnode Daly__total, Formnode Daly__total1, Formnode Daly__total2
Reformval: [Sex,Exposure]
{!40000|Att_resultslicestate: [Exposure,1,Sex,1,Pop_unit,1]}

Objective Yld_tot
Title: YLD, total
Units: years/follow-up period
Definition: if Assessment_type = 'Total burden of disease' then~
~
sum(Yld_spec, Age)~
~
else~
~
sum(Yld_spec,age_cat,Fu_period)[Time_unit='5-year period']
Nodelocation: 576,600,1
Nodesize: 48,12
Windstate: 2,153,140,476,400
Valuestate: 2,217,158,478,247,0,MIDM
Aliases: Formnode Yld__total, Formnode Yld__total1, Formnode Yld__total2
Reformval: [Morb_endpoint,Exposure]
Att__totalsindex: Index Morb_endpoint
{!40000|Att_resultslicestate: [Sex,1,Age_cat,10,Exposure,1,Morb_endpoint,1]}

Decision Age_weighting
Title: Age weighting
Definition: Choice(Self,2)
Nodelocation: 744,344,1
Nodesize: 48,12
Aliases: Formnode Age_weighting1, Formnode Age_weighting2
Domain: ['Yes','No']

Close Model2

Formnode Baseline_mortality1
Title: Baseline mortality
Definition: 0
Nodelocation: 368,138,1
Nodesize: 128,14
Nodeinfo: 1,0,0,1,0,0,0,72,0,1
Nodecolor: 65535,52427,57888
Original: Mort_data

Formnode Population1
Title: Population
Definition: 0
Nodelocation: 392,76,1
Nodesize: 104,12
Nodeinfo: 1,0,0,1,0,0,0,72,0,1
Nodecolor: 65535,52427,57888
Original: Pop_data

Formnode Baseline_morbidity2
Title: Baseline morbidity
Definition: 0
Nodelocation: 368,170,1
Nodesize: 128,14
Nodeinfo: 1,0,0,1,0,0,0,72,0,1
Nodecolor: 65535,52427,57888
Original: Morb_data

Formnode Birth_rate1
Title: Birth rate
Definition: 0
Nodelocation: 376,106,1
Nodesize: 120,10
Nodeinfo: 1,0,0,1,0,0,0,72,0,1
Nodecolor: 65535,52427,57888
Original: Birth_rate

Text Te13
Nodelocation: 256,612,-1
Nodesize: 256,612
Nodeinfo: 1,0,0,1,0,1,0,,0,

Text Te14
Description: Insert data:
Nodelocation: 256,45,-1
Nodesize: 248,13
Nodeinfo: 1,0,0,1,1,0,1,,0,
Nodefont: Arial Black, 13

Text Te10
Description: Population
Nodelocation: 256,124,-1
Nodesize: 248,68
Nodeinfo: 1,0,0,1,1,0,0,,0,

Text Te19
Description: Exposure
Nodelocation: 256,236,-1
Nodesize: 248,44
Nodeinfo: 1,0,0,1,1,0,0,,0,

Module Exposure_scenarios1
Title: Double click to define exposure scenarios
Author: vkoe
Date: 16. Janta 2009 8:57
Defaultsize: 48,24
Nodelocation: 432,240,1
Nodesize: 56,36
Diagstate: 2,35,28,947,882,17
Nodecolor: 52427,58983,65535

Text Te30
Nodelocation: 216,344,-14
Nodesize: 208,336
Nodeinfo: 1,0,0,1,0,1,0,,0,

Text Te77
Nodelocation: 216,148,-5
Nodesize: 200,44
Nodeinfo: 1,0,0,1,1,0,0,,0,
Nodecolor: 45875,45875,45875

Text Te78
Description: Exposure scenarios
Nodelocation: 108,28,-1
Nodesize: 92,12
Nodeinfo: 1,0,0,1,0,0,1,,0,
Nodefont: Arial Black, 15

Text Te79
Description: Insert data:
Nodelocation: 216,68,-1
Nodesize: 200,12
Nodeinfo: 1,0,0,1,1,0,1,,0,
Nodefont: Arial Black, 13

Text Te193
Description: Instructions
Nodelocation: 680,24,-1
Nodesize: 248,16
Nodeinfo: 1,0,0,1,0,1,1,,0,
Nodefont: Arial Black, 15

Formnode Fraction_of_exposed_
Title: Fraction of exposed population
Definition: 0
Nodelocation: 252,636,1
Nodesize: 148,12
Nodeinfo: 1,0,0,1,0,0,0,72,0,1
Nodecolor: 65535,52427,57888
Original: Pop_frac

Formnode Age_specific_exposur
Title: Age-specific exposure
Definition: 0
Nodelocation: 284,164,1
Nodesize: 124,12
Nodeinfo: 1,0,0,1,0,0,0,72,0,1
Original: Exp_age_class

Formnode Year_specific_exposu
Title: Year-specific exposure
Definition: 0
Nodelocation: 284,132,1
Nodesize: 124,12
Nodeinfo: 1,0,0,1,0,0,0,72,0,1
Original: Exp_year_class

Formnode Age_specific_exposu1
Title: Age-specific exposure
Definition: 0
Nodelocation: 276,484,1
Nodesize: 124,12
Nodeinfo: 1,0,0,1,0,0,0,72,0,1
Nodecolor: 65535,52427,57888
Original: Exp_age

Formnode General_exposure
Title: General exposure
Definition: 0
Nodelocation: 292,292,1
Nodesize: 108,12
Nodeinfo: 1,0,0,1,0,0,0,66,0,1
Nodecolor: 65535,52427,57888
Original: Exp_gen

Formnode Year_specific_expos1
Title: Year-specific exposure
Definition: 0
Nodelocation: 276,388,1
Nodesize: 124,12
Nodeinfo: 1,0,0,1,0,0,0,72,0,1
Nodecolor: 65535,52427,57888
Original: Exp_year

Text Te1
Description: Fill in if Year-specific exposure = 'No' and Age-specific exposure = 'No'
Nodelocation: 200,252,-1
Nodesize: 152,20
Nodeinfo: 1,0,0,1,0,0,1,,0,
Nodefont: Arial Black, 13

Text Te31
Description: Fill in if Year-specific exposure = 'Yes' and Age-specific exposure = 'No'
Nodelocation: 200,348,-1
Nodesize: 152,20
Nodeinfo: 1,0,0,1,0,0,1,,0,
Nodefont: Arial Black, 13

Text Te51
Description: Fill in if Year-specific exposure = 'No' and Age-specific exposure = 'Yes'
Nodelocation: 200,444,-1
Nodesize: 152,20
Nodeinfo: 1,0,0,1,0,0,1,,0,
Nodefont: Arial Black, 13

Text Te73
Description: Fill in if Year-specific exposure = 'Yes' and Age-specific exposure = 'Yes'
Nodelocation: 192,524,-1
Nodesize: 152,20
Nodeinfo: 1,0,0,1,0,0,1,,0,
Nodefont: Arial Black, 13

Text Te76
Nodelocation: 216,400,-13
Nodesize: 200,184
Nodeinfo: 1,0,0,1,1,0,0,,0,

Text Te194
Nodelocation: 216,634,-1
Nodesize: 200,26
Nodeinfo: 1,0,0,1,1,0,0,,0,

Text Te195
Description: Step 1
Nodelocation: 216,92,-1
Nodesize: 200,12
Nodeinfo: 1,0,0,1,1,0,1,,0,
Nodefont: Arial Black, 13

Text Te220
Description: Step 2
Nodelocation: 216,204,-1
Nodesize: 200,12
Nodeinfo: 1,0,0,1,1,0,1,,0,
Nodefont: Arial Black, 13

Text Te275
Description: Step 3
Nodelocation: 216,596,-1
Nodesize: 200,12
Nodeinfo: 1,0,0,1,1,0,1,,0,
Nodefont: Arial Black, 13

Alias Double_click_for_in3
Title: Double click for instructions on how to define distributions
Definition: 1
Nodelocation: 664,776,1
Nodesize: 120,56
Nodeinfo: 1,0,0,1,1,1,0,,0,
Original: How_to_define_distri

Text Te126
Description: Step 1
Nodelocation: 680,52,-1
Nodesize: 248,12
Nodeinfo: 1,0,0,1,0,1,1,,0,
Nodefont: Arial Black, 13

Text Te128
Description: Select whether or not you want to define follow-up year or age-specific exposure levels
Nodelocation: 680,88,-1
Nodesize: 248,24
Nodeinfo: 1,0,0,1,0,1,0,,0,

Text Te134
Description: Step 2
Nodelocation: 680,124,-1
Nodesize: 248,12
Nodeinfo: 1,0,0,1,0,1,1,,0,
Nodefont: Arial Black, 13

Text Te136
Description: Type in or copy-paste exposure data into the correct table. Exposure should be given as an average annual exposure level.~
~
*BAU: business-as-usual exposure level, should reflect the true or expected exposure conditions in the population~
*Alternative: alternative exposure level, can be below or above BAU level~
*Reference: reference exposure level, should be set to zero or natural background level~
~
Note! If health impacts occur only after some threshold exposure level, exposure levels should reflect the threshold exceedance in different scenarios.~
~
In case of a categorical exposure estimate (exposure for a given person is either yes or no), the population exposure level in different scenarios should be defined as the fraction of the total population that is exposed, e.g.: ~
~
     1 = everybody is exposed ~
     0.5 = 50% of the population is exposed
Nodelocation: 680,296,-1
Nodesize: 248,160
Nodeinfo: 1,0,0,1,0,1,0,,0,

Text Te168
Description: Step 3
Nodelocation: 680,468,-1
Nodesize: 248,12
Nodeinfo: 1,0,0,1,0,1,1,,0,
Nodefont: Arial Black, 13

Text Te170
Description: Define the fraction of total population that is assumed to expose to the defined exposure level, e.g.:~
~
     1=everybody is exposed~
     0.5=50% of the population is exposed ~
~
In BAU and Alternative scenarios the rest of the population is assumed to expose to the reference scenario exposure level. Same fraction is assumed for the whole follow-up period and all age-groups.~
~
Note! In case the exposure estimate is categorical (yes/no), the fraction should be set to 1 because the percentage of exposed population has already been defined above.
Nodelocation: 680,660,-1
Nodesize: 248,180
Nodeinfo: 1,0,0,1,0,1,0,,0,

Formnode Year_and_age_specifi
Title: Year and age-specific exposure
Definition: 0
Nodelocation: 252,564,1
Nodesize: 148,12
Nodeinfo: 1,0,0,1,0,0,0,72,0,1
Nodecolor: 65535,52427,57888
Original: Exp_year_age

Close Exposure_scenarios1

Text Te22
Description: Population data: click on 'Edit table' and type/copy-paste the data in the table.~
*Population: number of population~
*Birth rate: annual number of births~
*Mortality data: annual number of deaths in the beginning of the assessment in business-as-usual (BAU) scenario~
*Morbidity data: annual number of morbidity cases in the beginning of the assessment in business-as-usual (BAU) scenario. Note! This data is only needed for those morbidity endpoints for which the applied exposure-response function is a relative risk.~
~
Exposure, exposure-response functions, and YLD calculation data: double click on the blue box to continue inputting the data.~
~
Time discount rate: define the annual discount rate applied in the valuation of future gains or losses of life.~
~
Age weighting: select  whether or not to apply age weighting in the valuation of life lost or lived with morbidity.~
*No = No age weighting applied~
*Yes = Life lost at a given age is weighed according to the following formula: Cxe^(bx), where x = age in years, C = 0.1658, b = 0.04. This is the formula used in the Global Burden of Disease studies. For further information, see: Murray 1994. Quantifying the burden of disease: the technical basis for disability-adjusted life years. Bulletin of the World Health Organization 72, 429-445.~
~

Nodelocation: 820,300,-4
Nodesize: 300,236
Nodeinfo: 1,0,0,1,0,1,1,,0,
Nodefont: Arial, 12

Module Double_click_to_defi
Title: Double click to define ERFs for mortality endpoints
Author: vkoe
Date: 19. Janta 2009 16:23
Defaultsize: 48,24
Nodelocation: 312,328,1
Nodesize: 56,36
Nodeinfo: 1,0,0,1,1,1,0,,0,
Diagstate: 2,65,61,969,783,17
Nodecolor: 52427,58983,65535

Text Te23
Nodelocation: 196,288,-7
Nodesize: 180,272
Nodeinfo: 1,0,0,1,0,1,0,,0,

Text Te27
Description: Select if acute or chronic mortality impacts are assessed. Chronic ERF should reflect changes in annual mortality rates, whereas acute ERF reflect changes in daily mortality rates.~
~
Select whether or not you want to define age-specific exposure-response functions for mortality endpoints.
Nodelocation: 668,128,-10
Nodesize: 276,56
Nodeinfo: 1,0,0,1,0,1,0,,0,

Formnode Type_of_mortality_er
Title: Type of mortality ERF
Definition: 0
Nodelocation: 216,156,1
Nodesize: 136,12
Nodeinfo: 1,0,0,1,0,0,0,70,0,1
Original: Mort_erf_age_class

Text Te32
Description: Step 1
Nodelocation: 196,84,-1
Nodesize: 172,12
Nodeinfo: 1,0,0,1,1,0,1,,0,
Nodefont: Arial Black, 13

Text Te33
Description: Step 2
Nodelocation: 196,196,-1
Nodesize: 172,12
Nodeinfo: 1,0,0,1,1,0,1,,0,
Nodefont: Arial Black, 13

Text Te36
Description: Fill in if Age- specific mortality ERFs = Yes
Nodelocation: 204,332,-1
Nodesize: 164,12
Nodeinfo: 1,0,0,1,0,0,1,,0,
Nodefont: Arial Black, 13

Text Te37
Description: Fill in if Age-specific mortality ERFs = No
Nodelocation: 204,252,-1
Nodesize: 164,12
Nodeinfo: 1,0,0,1,0,0,1,,0,
Nodefont: Arial Black, 13

Module How_to_define_distri
Title: Note! Input data can be deterministic or probabilistic. Double click here to find information on how to input different types of distributions in Analytica.
Author: vkoe
Date: 17. Aprta 2009 8:01
Defaultsize: 48,24
Nodelocation: 664,656,1
Nodesize: 128,56
Nodeinfo: 1,0,0,1,1,1,0,,0,
Diagstate: 1,314,13,388,781,17
Aliases: Alias Double_click_for_in3, Alias Double_click_for_in4, Alias Double_click_for_i10, Alias Double_click_for_i13, Alias Double_click_for_in6, Alias Double_click_for_in1, Alias Note__input_data_ca1, Alias Note__input_data_can, Alias Note__input_data_ca2, Alias Double_click_for_in5, Alias Double_click_for_i12, Alias Double_click_for_i11

Text Te42
Nodelocation: 192,376,-1
Nodesize: 152,360
Nodeinfo: 1,0,0,1,0,1,0,,0,

Text Te43
Description: Normal distribution
Nodelocation: 144,120,-1
Nodesize: 88,12
Nodeinfo: 1,0,0,1,0,0,1,,0,
Nodefont: Arial Black, 13

Text Te44
Description: Normal(x,y)~
x = mean~
y = standard deviation
Nodelocation: 168,168,-1
Nodesize: 112,32

Chance Ch1
Definition: Triangular( 1, 2, 5 )
Nodelocation: 768,104,1
Nodesize: 48,24
Windstate: 2,723,220,476,224

Text Te45
Description: Lognormal distribution
Nodelocation: 160,240,-1
Nodesize: 104,12
Nodeinfo: 1,0,0,1,0,0,1,,0,
Nodefont: Arial Black, 13

Text Te46
Description: Lognormal(median:x, gsdev:y)~
x = median~
y = geometric standard deviation~
~
Lognormal(median:x, stddev:y)~
x = median~
y = standard deviation~
~
Lognormal(mean:x,stddev:y)~
x = mean~
y = standard deviation
Nodelocation: 168,352,-1
Nodesize: 112,96

Chance Ch2
Definition: Uniform( 1 )
Nodelocation: 768,160,1
Nodesize: 48,24

Text Te47
Description: Triangular distribution
Nodelocation: 160,488,-1
Nodesize: 104,12
Nodeinfo: 1,0,0,1,0,0,1,,0,
Nodefont: Arial Black, 13

Text Te49
Description: Triangular(x, y, z)~
x = minimum~
y = mode~
z = maximum
Nodelocation: 168,544,-1
Nodesize: 112,40
Nodeinfo: 1,0,0,1,0,0,0,0,0,0

Text Te48
Description: Uniform(x,y)~
x = minimum~
y = maximum
Nodelocation: 168,672,-1
Nodesize: 112,32

Text Te50
Description: Uniform distribution
Nodelocation: 152,624,-1
Nodesize: 96,12
Nodeinfo: 1,0,0,1,0,0,1,,0,
Nodefont: Arial Black, 13

Text Te183
Description: How to define distributions in Analytica:
Nodelocation: 184,48,-1
Nodesize: 136,24
Nodeinfo: 1,0,0,1,0,0,1,,0,
Nodefont: Arial Black, 15

Close How_to_define_distri

Formnode Age_specific_mortali
Title: Age-specific mortality ERFs
Definition: 0
Nodelocation: 216,364,1
Nodesize: 136,12
Nodeinfo: 1,0,0,1,0,0,0,72,0,1
Nodecolor: 65535,52427,57888
Original: Mort_erf_as

Formnode General_mortality_er
Title: General mortality ERFs
Definition: 0
Nodelocation: 224,284,1
Nodesize: 128,12
Nodeinfo: 1,0,0,1,0,0,0,72,0,1
Nodecolor: 65535,52427,57888
Original: Mort_erf_gen

Text Te80
Nodelocation: 196,140,-4
Nodesize: 172,44
Nodeinfo: 1,0,0,1,1,0,0,,0,

Text Te81
Nodelocation: 196,300,-3
Nodesize: 172,92
Nodeinfo: 1,0,0,1,1,0,0,,0,

Text Te85
Description: Exposure-response function for mortality
Nodelocation: 196,28,-1
Nodesize: 180,12
Nodeinfo: 1,0,0,1,0,0,1,,0,
Nodefont: Arial Black, 15

Text Te86
Description: Insert data:
Nodelocation: 196,60,-1
Nodesize: 172,12
Nodeinfo: 1,0,0,1,1,0,1,,0,
Nodefont: Arial Black, 13

Formnode Mortality_erf_unit
Title: Mortality ERF unit
Definition: 0
Nodelocation: 236,444,1
Nodesize: 116,12
Nodeinfo: 1,0,0,1,0,0,0,72,0,1
Nodecolor: 65535,52427,57888
Original: Mort_erf_unit

Text Te72
Description: Step 3
Nodelocation: 196,404,-1
Nodesize: 172,12
Nodeinfo: 1,0,0,1,1,0,1,,0,
Nodefont: Arial Black, 13

Text Te143
Nodelocation: 196,484,-6
Nodesize: 172,68
Nodeinfo: 1,0,0,1,1,0,0,,0,

Text Te198
Description: Step 1
Nodelocation: 668,60,-1
Nodesize: 276,12
Nodeinfo: 1,0,0,1,0,1,1,,0,
Nodefont: Arial Black, 13

Text Te199
Description: Step 2
Nodelocation: 668,196,-1
Nodesize: 276,12
Nodeinfo: 1,0,0,1,0,1,1,,0,
Nodefont: Arial Black, 13

Text Te200
Description: Instructions
Nodelocation: 668,32,-1
Nodesize: 276,16
Nodeinfo: 1,0,0,1,0,1,1,,0,
Nodefont: Arial Black, 13

Text Te201
Description: Step 3
Nodelocation: 668,508,-1
Nodesize: 276,12
Nodeinfo: 1,0,0,1,0,1,1,,0,
Nodefont: Arial Black, 13

Formnode Type_of_mortality_ef
Title: Type of mortality effect
Definition: 0
Nodelocation: 224,124,1
Nodesize: 128,12
Nodeinfo: 1,0,0,1,0,0,0,72,0,1
Original: Mort_effect

Text Te171
Description: Type in or copy-paste exposure-response functions into the correct table. ~
~
ERFs can be in the form of relative risk (RR) or absolute risk (AR). However, only one ERF should be defined for a given mortality endpoint. ~
~
RRs are defined on the 'Relative risk' -sheet of the table. If there is no RR, value 1 should be listed.~
~
ARs are defined on the 'Absolute risk' -sheet of the table. If there is no AR, value 0 should be listed.~
~
Note! To avoid double counting, ERFs should not overlap in regard to the mortality endpoints.~
~
Note! If Age-specific mortality ERF = 'Yes', then all ERFs (including both age-specific and general) should be inputted in the 'Age-specific mortality ERF' -table.
Nodelocation: 668,352,-1
Nodesize: 276,144
Nodeinfo: 1,0,0,1,0,1,0,,0,

Text Te172
Description: Define the exposure unit to which the ERF relates to.~
~
If Type of mortality effect = 'Acute', then define the assumed loss of life for a premature death attributable to the exposure.
Nodelocation: 668,624,-1
Nodesize: 276,104
Nodeinfo: 1,0,0,1,0,1,0,,0,

Formnode Loss_of_life_at_deat
Title: Loss of life at death
Definition: 0
Nodelocation: 196,524,1
Nodesize: 156,12
Nodeinfo: 1,0,0,1,0,0,0,72,0,1
Nodecolor: 65535,52427,57888
Original: Life_lost

Text Te7
Description: Fill in if Type of mortality effect = 'Acute'
Nodelocation: 192,493,-1
Nodesize: 160,13
Nodeinfo: 1,0,0,1,0,1,1,,0,
Nodefont: Arial Black, 13

Close Double_click_to_defi

Module Double_click_to_def2
Title: Double click to define ERFs for morbidity endpoints
Author: vkoe
Date: 21. Janta 2009 16:08
Defaultsize: 48,24
Nodelocation: 432,328,1
Nodesize: 56,36
Diagstate: 2,32,20,906,660,17
Nodecolor: 52427,58983,65535

Formnode Morbidity_exposure__
Title: Morbidity exposure-~
response
Definition: 0
Nodelocation: 228,340,1
Nodesize: 140,12
Nodeinfo: 1,0,0,1,0,0,0,72,0,1
Nodecolor: 65535,52427,57888
Original: Morbidity_erf_as

Text Te25
Nodelocation: 192,244,-5
Nodesize: 184,236
Nodeinfo: 1,0,0,1,0,1,0,,0,

Text Te28
Title: Te27
Description: Select whether or not you want to define age-specific exposure-response functions for morbidity endpoints.
Nodelocation: 632,88,-10
Nodesize: 248,24
Nodeinfo: 1,0,0,1,0,1,0,,0,

Formnode Type_of_morbidity_e1
Title: Type of morbidity ERF
Definition: 0
Nodelocation: 228,132,1
Nodesize: 140,12
Nodeinfo: 1,0,0,1,0,0,0,72,0,1
Original: Morb_erf_age_class

Text Te34
Title: Te34
Description: Step 1
Nodelocation: 192,84,-1
Nodesize: 176,12
Nodeinfo: 1,0,0,1,1,0,1,,0,
Nodefont: Arial Black, 15

Text Te35
Title: Te35
Description: Step 2
Nodelocation: 192,172,-1
Nodesize: 176,12
Nodeinfo: 1,0,0,1,1,0,1,,0,
Nodefont: Arial Black, 15

Formnode General_morbidity_er
Title: General morbidity ERFs
Definition: 0
Nodelocation: 240,252,1
Nodesize: 128,12
Nodeinfo: 1,0,0,1,0,0,0,72,0,1
Nodecolor: 65535,52427,57888
Original: Morbidity_erf_gen

Text Te38
Description: Fill in if Age-specific morbidity ERFs = No
Nodelocation: 192,220,-1
Nodesize: 176,12
Nodeinfo: 1,0,0,1,0,0,1,,0,
Nodefont: Arial Black, 13

Text Te39
Description: Fill in this Age-specific morbidity ERFs = Yes
Nodelocation: 192,308,-1
Nodesize: 176,12
Nodeinfo: 1,0,0,1,0,0,1,,0,
Nodefont: Arial Black, 13

Text Te82
Nodelocation: 192,128,-4
Nodesize: 176,32
Nodeinfo: 1,0,0,1,1,0,0,,0,

Text Te83
Nodelocation: 192,276,-3
Nodesize: 176,92
Nodeinfo: 1,0,0,1,1,0,0,,0,

Text Te84
Description: Exposure-response function for morbidity
Nodelocation: 192,24,-1
Nodesize: 184,12
Nodeinfo: 1,0,0,1,0,0,1,,0,
Nodefont: Arial Black, 15

Text Te87
Description: Insert data:
Nodelocation: 192,60,-1
Nodesize: 176,12
Nodeinfo: 1,0,0,1,1,0,1,,0,
Nodefont: Arial Black, 15

Formnode Morbidity_erf_unit
Title: Morbidity ERF unit
Definition: 0
Nodelocation: 256,428,1
Nodesize: 112,12
Nodeinfo: 1,0,0,1,0,0,0,72,0,1
Nodecolor: 65535,52427,57888
Original: Morb_erf_unit

Text Te144
Nodelocation: 192,428,-1
Nodesize: 176,36
Nodeinfo: 1,0,0,1,1,0,0,,0,

Text Te145
Description: Step 3
Nodelocation: 192,380,-1
Nodesize: 176,12
Nodeinfo: 1,0,0,1,1,0,1,,0,
Nodefont: Arial Black, 15

Text Te203
Description: Instructions
Nodelocation: 632,24,-1
Nodesize: 248,16
Nodeinfo: 1,0,0,1,0,1,1,,0,
Nodefont: Arial Black, 15

Text Te205
Description: Step 1
Nodelocation: 632,52,-1
Nodesize: 248,12
Nodeinfo: 1,0,0,1,0,1,1,,0,
Nodefont: Arial Black, 13

Text Te206
Description: Step 2
Nodelocation: 632,124,-1
Nodesize: 248,12
Nodeinfo: 1,0,0,1,0,1,1,,0,
Nodefont: Arial Black, 13

Text Te207
Description: Step 3
Nodelocation: 632,444,-1
Nodesize: 248,12
Nodeinfo: 1,0,0,1,0,1,1,,0,
Nodefont: Arial Black, 13

Alias Double_click_for_in4
Title: Double click for instructions on how to define distributions
Definition: 1
Nodelocation: 640,544,1
Nodesize: 128,56
Nodeinfo: 1,0,0,1,1,1,0,,0,
Original: How_to_define_distri

Text Te173
Description: Type in or copy-paste exposure-response functions into the correct table. ~
~
ERFs can be in the form of relative risk (RR) or absolute risk (AR). However, only one ERF should be defined for a given morbidity endpoint. ~
~
RRs are defined on the 'Relative risk' -sheet of the table. If there is no RR, value 1 should be listed.~
~
ARs are defined on the 'Absolute risk' -sheet of the table. If there is no AR, value 0 should be listed.~
~
Note! To avoid double counting, ERFs should not overlap in regard to the morbidity endpoints.~
~
Note! If Age-specific morbidity ERF = 'Yes', then all ERFs (including both age-specific and general) should be inputted in the 'Age-specific morbidity ERF' -table.
Nodelocation: 632,284,-1
Nodesize: 248,148
Nodeinfo: 1,0,0,1,0,1,0,,0,

Text Te174
Description: Define the exposure unit to which the ERF relates to.
Nodelocation: 632,532,-1
Nodesize: 248,76
Nodeinfo: 1,0,0,1,0,1,0,,0,

Close Double_click_to_def2

Text Te26
Description: YLD calculation inputs
Nodelocation: 256,424,-1
Nodesize: 248,48
Nodeinfo: 1,0,0,1,1,0,0,,0,
Windstate: 2,102,90,476,224

Module Double_click_to_def3
Title: Double click to define duration of morbidity
Author: vkoe
Date: 2. Aprta 2009 13:08
Defaultsize: 48,24
Nodelocation: 312,424,1
Nodesize: 56,36
Diagstate: 2,94,126,792,495,17
Aliases: Alias Double_click_to_de14
Nodecolor: 52427,58983,65535

Formnode Duration_of_disease
Title: Duration of disease
Definition: 0
Nodelocation: 192,372,1
Nodesize: 176,12
Nodeinfo: 1,0,0,1,0,0,0,72,0,1
Nodecolor: 65535,52427,57888
Original: Duration_as

Formnode Age_specific_durati1
Title: Age-specific duration of disease
Definition: 0
Nodelocation: 212,142,1
Nodesize: 156,14
Nodeinfo: 1,0,0,1,0,0,0,72,0,1
Original: Duration_age_class

Formnode General_duration_of_
Title: General duration of disease
Definition: 0
Nodelocation: 204,276,1
Nodesize: 164,12
Nodeinfo: 1,0,0,1,0,0,0,72,0,1
Nodecolor: 65535,52427,61166
Original: Duration_gen

Text Te88
Description: Duration of morbidity
Nodelocation: 192,32,-1
Nodesize: 176,16
Nodeinfo: 1,0,0,1,0,0,1,,0,
Nodefont: Arial Black, 15

Text Te89
Description: Insert data:
Nodelocation: 192,68,-1
Nodesize: 176,12
Nodeinfo: 1,0,0,1,1,0,1,,0,
Nodefont: Arial Black, 13

Text Te90
Description: Step 1
Nodelocation: 192,92,-1
Nodesize: 176,12
Nodeinfo: 1,0,0,1,1,0,1,,0,
Nodefont: Arial Black, 15

Text Te91
Description: Fill in is Age-specific duration of morbidity = 'No'
Nodelocation: 152,236,-1
Nodesize: 128,20
Nodeinfo: 1,0,0,1,0,0,1,,0,
Nodefont: Arial Black, 13

Text Te92
Description: Fill in if Age-specific duration of Morbidity = 'Yes'
Nodelocation: 152,332,-1
Nodesize: 128,20
Nodeinfo: 1,0,0,1,0,0,1,,0,
Nodefont: Arial Black, 13

Text Te93
Description: Step 2
Nodelocation: 192,188,-1
Nodesize: 176,12
Nodeinfo: 1,0,0,1,1,0,1,,0,
Nodefont: Arial Black, 15

Text Te94
Nodelocation: 192,140,-4
Nodesize: 176,36
Nodeinfo: 1,0,0,1,1,0,0,,0,

Text Te95
Nodelocation: 192,304,-3
Nodesize: 176,104
Nodeinfo: 1,0,0,1,1,0,0,,0,

Text Te96
Nodelocation: 190,212,-5
Nodesize: 186,204
Nodeinfo: 1,0,0,1,0,1,0,,0,

Text Te97
Description: Select whether or not you want to define age-specific durations of morbidity.
Nodelocation: 564,88,-7
Nodesize: 180,24
Nodeinfo: 1,0,0,1,0,1,0,,0,

Text Te210
Description: Instructions
Nodelocation: 564,24,-1
Nodesize: 180,16
Nodeinfo: 1,0,0,1,0,1,1,,0,
Nodefont: Arial Black, 15

Text Te211
Description: Step 1
Nodelocation: 564,52,-1
Nodesize: 180,12
Nodeinfo: 1,0,0,1,0,1,1,,0,
Nodefont: Arial Black, 13

Text Te212
Description: Step 2
Nodelocation: 564,124,-1
Nodesize: 180,12
Nodeinfo: 1,0,0,1,0,1,1,,0,
Nodefont: Arial Black, 13

Alias Double_click_for_i10
Title: Double click for instructions on how to define distributions
Definition: 1
Nodelocation: 544,336,1
Nodesize: 124,56
Nodeinfo: 1,0,0,1,1,1,0,,0,
Original: How_to_define_distri

Text Te184
Description: Type in or copy-paste morbidity duration data into the correct table ~
~
Note! If Age-specific duration of morbidity = 'Yes' then durations for all morbidity endpoints (whether age-specific or not) should be inserted in the 'Age-specific duration of morbidity' -table.
Nodelocation: 564,276,-1
Nodesize: 180,140
Nodeinfo: 1,0,0,1,0,1,0,0,0,0

Close Double_click_to_def3

Module Double_click_to_def4
Title: Double click to define severity weight
Author: vkoe
Date: 2. Aprta 2009 13:08
Defaultsize: 48,24
Nodelocation: 432,424,1
Nodesize: 56,36
Diagstate: 2,98,163,734,446,17
Aliases: Alias Double_click_to_de15
Nodecolor: 52427,58983,65535

Formnode Weight1
Title: Weight
Definition: 0
Nodelocation: 172,332,1
Nodesize: 140,12
Nodeinfo: 1,0,0,1,0,0,0,72,0,1
Nodecolor: 65535,52427,57888
Original: Daly_weight_as

Formnode Age_specific_severit
Title: Age-specific severity weight
Definition: 0
Nodelocation: 168,124,1
Nodesize: 144,12
Nodeinfo: 1,0,0,1,0,0,0,72,0,1
Original: Severity_age_class

Formnode General_severity_wei
Title: General severity weight
Definition: 0
Nodelocation: 184,244,1
Nodesize: 128,12
Nodeinfo: 1,0,0,1,0,0,0,72,0,1
Nodecolor: 65535,52427,61166
Original: Daly_weight_gen

Text Te98
Description: Severity weight for morbidity
Nodelocation: 166,26,-1
Nodesize: 154,14
Nodeinfo: 1,0,0,1,0,0,1,,0,
Nodefont: Arial Black, 15

Text Te99
Description: Fill in if Age-specific severity weight = 'Yes''
Nodelocation: 124,204,-1
Nodesize: 100,20
Nodeinfo: 1,0,0,1,0,0,1,,0,
Nodefont: Arial Black, 13

Text Te100
Description: Fill in if Age-specific severity weight = 'No'
Nodelocation: 124,300,-1
Nodesize: 100,20
Nodeinfo: 1,0,0,1,0,0,1,,0,
Nodefont: Arial Black, 13

Text Te101
Description: Insert data:
Nodelocation: 168,60,-1
Nodesize: 152,12
Nodeinfo: 1,0,0,1,1,0,1,,0,
Nodefont: Arial Black, 13

Text Te102
Description: Step 1
Nodelocation: 168,84,-1
Nodesize: 152,12
Nodeinfo: 1,0,0,1,1,0,1,,0,
Nodefont: Arial Black, 13

Text Te103
Description: Step 2
Nodelocation: 168,156,-1
Nodesize: 152,12
Nodeinfo: 1,0,0,1,1,0,1,,0,
Nodefont: Arial Black, 13

Text Te104
Nodelocation: 168,120,-4
Nodesize: 152,24
Nodeinfo: 1,0,0,1,1,0,0,,0,

Text Te105
Nodelocation: 168,264,-3
Nodesize: 152,96
Nodeinfo: 1,0,0,1,1,0,0,,0,

Text Te106
Nodelocation: 168,188,-5
Nodesize: 160,180
Nodeinfo: 1,0,0,1,0,1,0,,0,

Text Te107
Description: Select whether or not you want to define age-specific disability severity weights for morbidity endpoints.
Nodelocation: 512,88,-7
Nodesize: 176,24
Nodeinfo: 1,0,0,1,0,1,0,,0,

Text Te215
Description: Instructions
Nodelocation: 512,24,-1
Nodesize: 176,16
Nodeinfo: 1,0,0,1,0,1,1,,0,
Nodefont: Arial Black, 15

Text Te216
Description: Step 1
Nodelocation: 512,52,-1
Nodesize: 176,12
Nodeinfo: 1,0,0,1,0,1,1,,0,
Nodefont: Arial Black, 13

Text Te217
Description: Step 2
Nodelocation: 512,124,-1
Nodesize: 176,12
Nodeinfo: 1,0,0,1,0,1,1,,0,
Nodefont: Arial Black, 13

Alias Double_click_for_i13
Title: Double click for instructions on how to define distributions
Definition: 1
Nodelocation: 512,320,1
Nodesize: 120,56
Nodeinfo: 1,0,0,1,1,1,0,,0,
Original: How_to_define_distri

Text Te175
Description: Type in or copy-paste severity weight data into the correct table ~
~
Note! If Age-specific severity weight = 'Yes' then weights for all morbidity endpoints (whether age-specific or not) should be inserted in the 'Age-specific severity weight' -table.
Nodelocation: 512,264,-1
Nodesize: 176,128
Nodeinfo: 1,0,0,1,0,1,0,,0,

Close Double_click_to_def4

Text Te60
Description: Exposure-response functions
Nodelocation: 256,328,-1
Nodesize: 248,48
Nodeinfo: 1,0,0,1,1,0,0,,0,

Alias Double_click_for_in6
Title: Double click for instructions on how to define distributions
Definition: 1
Nodelocation: 800,472,1
Nodesize: 124,52
Nodeinfo: 1,0,0,1,1,1,0,,0,
Nodecolor: 52427,58983,65535
Original: How_to_define_distri

Text Te75
Description: Assessment starting point: exposure scenarios
Nodelocation: 246,14,-1
Nodesize: 238,14
Nodeinfo: 1,0,0,1,0,0,1,,0,
Nodefont: Arial Black, 15

Text Te187
Description: Instructions
Nodelocation: 820,16,-1
Nodesize: 300,16
Nodeinfo: 1,0,0,1,0,1,1,,0,
Nodefont: Arial Black, 16

Text Te188
Description: Required input data:
Nodelocation: 820,48,-1
Nodesize: 300,16
Nodeinfo: 1,0,0,1,0,1,1,,0,
Nodefont: Arial Black, 13

Text Te189
Description: Model outcomes:
Nodelocation: 820,556,-1
Nodesize: 300,12
Nodeinfo: 1,0,0,1,0,1,1,,0,
Nodefont: Arial Black, 13

Formnode Attributable_yll__
Title: Attributable YLL ~
(approach 1)
Definition: 1
Nodelocation: 372,1052,1
Nodesize: 124,12
Nodeinfo: 1,0,0,1,0,0,0,72,0,1
Nodecolor: 65535,19661,38773
Original: Yll_spec

Formnode Attributable_yld1
Title: Attributable YLD
Definition: 1
Nodelocation: 372,1124,1
Nodesize: 124,12
Nodeinfo: 1,0,0,1,0,0,0,72,0,1
Nodecolor: 65535,19661,38773
Original: Yld_spec

Formnode Attributable_daly_
Title: Attributable~
DALY~
(approach 1)
Definition: 1
Nodelocation: 368,1196,1
Nodesize: 128,12
Nodeinfo: 1,0,0,1,0,0,0,72,0,1
Nodecolor: 65535,19661,38773
Original: Daly_spec

Formnode Attributable_mortal1
Title: Attributable mortality
Definition: 1
Nodelocation: 356,900,1
Nodesize: 140,12
Nodeinfo: 1,0,0,1,0,0,0,72,0,1
Nodecolor: 65535,19661,38773
Original: Ab_mortality_spec

Formnode Attributable_morbid1
Title: Attributable morbidity
Definition: 1
Nodelocation: 356,972,1
Nodesize: 140,12
Nodeinfo: 1,0,0,1,0,0,0,72,0,1
Nodecolor: 65535,19661,38773
Original: Ab_morbidity_spec

Text Te74
Description: Model outcomes
Nodelocation: 256,588,-1
Nodesize: 248,12
Nodeinfo: 1,0,0,1,1,0,1,,0,
Nodefont: Arial Black, 13

Text Te146
Description: Select the outcome of interest:~
*EBD = Health impact caused by the given exposure level in different scenarios~
*Change in BoD = Increase/decrease in health impact in the alternative scenario in relation to BAU~
~
Select the approach for calculating YLL:~
*Life tables: YLL in BAU and Alternative scenarios is calculated based on the population projections and the difference in the number of life years lived during the follow-up period in the BAU/Alternative scenario compared to the hypothetical Reference scenario (zero or natural background exposure level). It should be noted, that in this approach the total amount of life lost due to a given premature mortality case is NOT allocated to the year during which the death occurs, but to all future follow-up years when the life would have taken place if death would not have occurred. ~
*Attributable deaths: YLL is calculated based on year and age-specific attributable deaths and age-specific life expectancy in the Reference scenario. Hence, the total life lost due to a given premature mortality case is allocated to the year when the death takes place. ~
~
Note! In case of morbidity incidence endpoints in YLD calculation, the total life lost due to disability caused by a morbidity case is allocated to the year when the morbidity appears, regardless of the selected approach for the calculation of YLL ~
~
Click on the red button to calculate a result for a given health impact indicator~
~
Life expectancy:~
*Life expectancy in birth cohort: average life expectancy in a people born in the first year of the assessment~
*Loss of life expectancy in birth cohort: average loss of life expectancy compared to the reference exposure level~
*Age-adjusted life expectancy: average age-specific life-expectancy~
*Loss of age-adjusted life expectancy: average loss of age-specific life expectancy compared to the reference exposure level~
~
Mortality / morbidity counts:~
*Attributable mortality: number of deaths attributable to the exposure~
*Attributable morbidity: number of morbidity cases attributable to the exposure~
~
Burden of disease:~
*YLL: loss of life years due to premature mortality attributable to the exposure~
*YLD: loss of life years due to disability attributable to the exposure~
*DALY: loss of disability adjusted life years attributable to the exposure
Nodelocation: 820,896,-1
Nodesize: 300,328
Nodeinfo: 1,0,0,1,0,1,0,,0,

Formnode Approach_for_yll_ca1
Title: Approach for YLL calculation
Definition: 0
Nodelocation: 352,660,1
Nodesize: 144,12
Nodeinfo: 1,0,0,1,0,0,0,72,0,1
Original: App_yll

Text Te186
Description: Time discount rate
Nodelocation: 256,496,-1
Nodesize: 248,24
Nodeinfo: 1,0,0,1,1,0,0,,0,

Formnode Discount1
Title: Discount
Definition: 0
Nodelocation: 368,500,1
Nodesize: 128,12
Nodeinfo: 1,0,0,1,0,0,0,72,0,1
Nodecolor: 65535,52427,57888
Original: Discount

Formnode Outcome_of_interest2
Title: Outcome of interest
Definition: 0
Nodelocation: 376,628,1
Nodesize: 120,12
Nodeinfo: 1,0,0,1,0,0,0,72,0,1
Original: Outcome

Text Te127
Description: Life expectancy
Nodelocation: 256,760,-1
Nodesize: 248,72
Nodeinfo: 1,0,0,1,1,0,0,,0,

Text Te16
Description: Mortality / morbidity counts
Nodelocation: 256,912,-1
Nodesize: 248,80
Nodeinfo: 1,0,0,1,1,0,0,,0,

Text Te240
Description: Burden of disease
Nodelocation: 256,1104,-1
Nodesize: 248,112
Nodeinfo: 1,0,0,1,1,0,0,,0,

Text Te241
Nodelocation: 256,644,-1
Nodesize: 248,44
Nodeinfo: 1,0,0,1,1,0,0,,0,

Formnode Daly__total
Title: DALY, total
Definition: 1
Nodelocation: 336,1164,1
Nodesize: 160,12
Nodeinfo: 1,0,0,1,0,0,0,72,0,1
Original: Daly_tot

Formnode Morbidity__total
Title: Morbidity, total
Definition: 1
Nodelocation: 324,940,1
Nodesize: 172,12
Nodeinfo: 1,0,0,1,0,0,0,72,0,1
Original: Ab_morbidity_tot

Formnode Mortality__total
Title: Mortality, total
Definition: 1
Nodelocation: 324,868,1
Nodesize: 172,12
Nodeinfo: 1,0,0,1,0,0,0,72,0,1
Original: Ab_mortality_tot

Formnode Yld__total
Title: YLD, total
Definition: 1
Nodelocation: 340,1092,1
Nodesize: 156,12
Nodeinfo: 1,0,0,1,0,0,0,72,0,1
Original: Yld_tot

Formnode Yll__total
Title: YLL, total
Definition: 1
Nodelocation: 340,1020,1
Nodesize: 156,12
Nodeinfo: 1,0,0,1,0,0,0,72,0,1
Original: Yll_tot

Formnode Age_adjusted_life_ex
Title: Age-adjusted life expectancy
Definition: 1
Nodelocation: 332,780,1
Nodesize: 164,12
Nodeinfo: 1,0,0,1,0,0,0,72,0,1
Nodecolor: 65535,19661,38773
Original: Ad_le

Formnode Life_expectancy_in_1
Title: Life expectancy in birth cohort
Definition: 1
Nodelocation: 328,708,1
Nodesize: 168,12
Nodeinfo: 1,0,0,1,0,0,0,72,0,1
Nodecolor: 65535,19661,38773
Original: Le_cohort

Formnode Loss_of_age_adjusted
Title: Loss of age-adjusted life expectancy
Definition: 1
Nodelocation: 308,812,1
Nodesize: 188,12
Nodeinfo: 1,0,0,1,0,0,0,72,0,1
Original: Ad_le_loss

Formnode Loss_of_life_expecta
Title: Loss of life expectancy in birth cohort
Definition: 1
Nodelocation: 304,740,1
Nodesize: 192,12
Nodeinfo: 1,0,0,1,0,0,0,72,0,1
Original: Le_loss

Formnode Age_weighting1
Title: Age weighting
Definition: 0
Nodelocation: 384,548,1
Nodesize: 112,12
Nodeinfo: 1,0,0,1,0,0,0,72,0,1
Original: Age_weighting

Text Te255
Description: Age weighting
Nodelocation: 256,544,-1
Nodesize: 248,24
Nodeinfo: 1,0,0,1,1,0,0,,0,

Close Continue_to_input_nu

Text Te18
Description: Define assessment boundaries
Nodelocation: 176,133,-1
Nodesize: 152,13
Nodeinfo: 1,0,0,1,0,0,1,,0,
Nodefont: Arial Black, 15

Text Te9
Description: Exposure scenarios: health impacts are calculated based on alternative exposure scenarios, background mortality/morbidity data and exposure-response functions.~
~
Health outcome scenarios: changes in life-expectancy and years of life lost are calculated based on alternative scenarios on attributable deaths and morbidity cases.~
~
Total burden of disease: environmental burden of disease (EBD) is calculated based on exposure scenarios, total burden of disease (BoD) data and exposure-response functions.
Nodelocation: 720,158,-1
Nodesize: 256,90
Nodeinfo: 1,0,0,1,0,1,0,,0,
Nodecolor: 65535,65535,65535

Text Te52
Description: If starting point for the assessment is 'Exposure scenarios' or 'Health outcome scenarios', please fill in the following information:
Nodelocation: 228,332,-1
Nodesize: 204,20
Nodeinfo: 1,0,0,1,1,0,0,,0,

Index Morb_endpoint
{!40000|Att_previndexvalue: ['Chronic bronchitis','RAD']}
Title: Morb endpoints
Description: Morbidity endpoints included in the assessment.~
~
Type in the list into the definition field. Press 'Enter' to add new rows and 'Back' to remove rows. When the list is complete press 'Alt' + 'Enter'.
Definition: ['Chronic bronchitis','RAD']
Nodelocation: 160,856,1
Nodesize: 52,21
Windstate: 2,151,56,476,275
Valuestate: 2,612,556,416,303,0,MIDM
Aliases: Alias Morbidity2, Formnode Morbidity_endpoints
{!40203|Att_slicerpopupsize: 227,42}

Index Mort_endpoint
Title: Mort endpoints
Description: Causes of death -classification used in the assessment.~
~
Type in the list into the definition field. Press 'Enter' to add new rows and 'Back' to remove rows. When the list is complete press 'Alt' + 'Enter'.
Definition: ['Non-accidental','Accidental']
Nodelocation: 64,856,1
Nodesize: 52,21
Windstate: 2,107,90,476,266
Aliases: Alias Cause_of_death2, Formnode Mortality_endpoints
{!40000|Att_previndexvalue: ['Non-accidental','Accidental']}

Decision Sex_class
Title: Sex specified impact assessment
Definition: Choice(Self,1)
Nodelocation: 64,792,1
Nodesize: 48,32
Nodeinfo: 1,1,0,1,1,1,0,,0,
Aliases: Formnode Sex_specified_impact
Domain: ['No','Yes']

Decision Assessment_type
Title: Starting point for the assessment
Definition: Choice(Self,1)
Nodelocation: 160,792,1
Nodesize: 48,32
Nodeinfo: 1,1,0,1,1,1,0,,0,
Windstate: 2,102,90,476,224
Aliases: Formnode Starting_point_for_t
Domain: ['Exposure scenarios','Health outcome scenarios','Total burden of disease']

Module Total_burden_of_dise
Title: Total burden of disease
Author: jtue
Date: 17. huhta 2009 14:34
Defaultsize: 48,24
Nodelocation: 344,632,1
Nodesize: 56,28
Nodeinfo: 1,0,0,1,1,1,0,,0,
Diagstate: 2,50,122,991,683,17
Nodecolor: 52427,58983,65535

Text Te54
Nodelocation: 248,324,-1
Nodesize: 240,316
Nodeinfo: 1,0,0,1,0,1,0,,0,

Alias Double_click_to_vie1
Title: Double click to view the model
Definition: 1
Nodelocation: 88,512,1
Nodesize: 60,28
Nodeinfo: 1,0,0,1,1,1,0,,0,
Original: Model2

Formnode Dalys1
Title: DALYs
Definition: 1
Nodelocation: 344,604,1
Nodesize: 128,12
Nodeinfo: 1,0,0,1,0,0,0,72,0,1
Original: Daly_spec

Text Te65
Description: Insert data
Nodelocation: 248,60,-1
Nodesize: 232,12
Nodeinfo: 1,0,0,1,1,0,1,,0,
Nodefont: Arial Black, 13

Text Te66
Description: Total burden of disease
Nodelocation: 248,116,-1
Nodesize: 232,44
Nodeinfo: 1,0,0,1,1,0,0,,0,

Text Te67
Description: Exposure
Nodelocation: 248,204,-1
Nodesize: 232,44
Nodeinfo: 1,0,0,1,1,0,0,,0,

Text Te68
Description: Exposure-response functions
Nodelocation: 248,308,-1
Nodesize: 232,60
Nodeinfo: 1,0,0,1,1,0,0,,0,

Text Te70
Description: Burden of disease
Nodelocation: 248,516,-1
Nodesize: 232,116
Nodeinfo: 1,0,0,1,1,0,0,,0,

Text Te71
Description: Total burden of disease: ~
*BoD data should be divided into life years lost due to mortality (YLL) and disability (YLD) ~
*Type in or copy-paste total YLL and YLD data into the correct table.~
~
Exposure and exposure-response function data: double click on the blue box to continue inputting the data.
Nodelocation: 728,204,-4
Nodesize: 232,132
Nodeinfo: 1,0,0,1,0,1,0,,0,

Text Te142
Description: Assessment starting point: total burden of disease
Nodelocation: 244,24,-1
Nodesize: 236,16
Nodeinfo: 1,0,0,1,0,0,1,,0,
Nodefont: Arial Black, 15

Formnode Attributable_yld
Title: Attributable YLD
Definition: 1
Nodelocation: 348,540,1
Nodesize: 124,12
Nodeinfo: 1,0,0,1,0,0,0,72,0,1
Original: Yld_spec

Formnode Attributable_yll
Title: Attributable YLL
Definition: 1
Nodelocation: 348,476,1
Nodesize: 124,12
Nodeinfo: 1,0,0,1,0,0,0,72,0,1
Original: Yll_spec

Text Te249
Description: Instructions
Nodelocation: 728,24,-1
Nodesize: 232,16
Nodeinfo: 1,0,0,1,0,1,1,,0,
Nodefont: Arial Black, 15

Text Te250
Description: Required input data:
Nodelocation: 728,56,-1
Nodesize: 232,16
Nodeinfo: 1,0,0,1,0,1,1,,0,
Nodefont: Arial Black, 13

Text Te251
Description: Model outcomes:
Nodelocation: 728,352,-1
Nodesize: 232,16
Nodeinfo: 1,0,0,1,0,1,1,,0,
Nodefont: Arial Black, 13

Alias Double_click_for_in1
Title: Double click for instructions on how to define distributions
Definition: 1
Nodelocation: 712,264,1
Nodesize: 120,56
Nodeinfo: 1,0,0,1,1,1,0,,0,
Original: How_to_define_distri

Formnode Total_yll1
Title: Total YLL
Definition: 0
Nodelocation: 344,108,1
Nodesize: 128,12
Nodeinfo: 1,0,0,1,0,0,0,72,0,1
Nodecolor: 65535,52427,61166
Original: As_total_yll

Formnode Total_yld2
Title: Total YLD
Definition: 0
Nodelocation: 344,140,1
Nodesize: 128,12
Nodeinfo: 1,0,0,1,0,0,0,72,0,1
Nodecolor: 65535,52427,61166
Original: As_total_yld

Module Nodes3
Title: Technical nodes
Author: jtue
Date: 17. huhta 2009 14:34
Defaultsize: 48,24
Nodelocation: 80,688,1
Nodesize: 48,24
Diagstate: 1,37,36,261,192,17

Variable As_total_yll
Title: Age-specific total YLL
Definition: Table(Age,Sex,Mort_endpoint)(~
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0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0~
)
Nodelocation: 96,48,1
Nodesize: 48,24
Defnstate: 2,179,125,483,580,0,MIDM
Valuestate: 2,235,231,416,303,0,MIDM
Aliases: Formnode Total_yll1
Nodecolor: 65535,52427,61166
Reformdef: [Mort_endpoint,Age]
Reformval: [Mort_endpoint,Age]
{!40000|Att_editslicestate: [Gender,1,Age_cat,1,Cause_of_death,1]}

Variable As_total_yld
Title: Age-specific total YLD
Definition: Table(Age,Sex,Morb_endpoint)(~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0,~
0,0~
)
Nodelocation: 96,104,1
Nodesize: 48,24
Defnstate: 2,117,131,416,483,0,MIDM
Valuestate: 2,230,251,416,303,0,MIDM
Aliases: Formnode Total_yld2
Nodecolor: 65535,52427,61166
Reformdef: [Morb_endpoint,Age]
Reformval: [Morb_endpoint,Age]

Close Nodes3

Module Double_click_to_def5
Title: Double click to define ERFs for mortality endpoints
Author: vkoe
Date: 19. Novta 2009 10:32
Defaultsize: 48,24
Nodelocation: 304,312,1
Nodesize: 52,44
Diagstate: 2,68,113,785,543,17

Text Te12
Nodelocation: 196,252,-6
Nodesize: 188,244
Nodeinfo: 1,0,0,1,0,1,0,,0,

Text Te61
Description: Exposure-response function for mortality
Nodelocation: 196,28,-1
Nodesize: 180,12
Nodeinfo: 1,0,0,1,0,0,1,,0,
Nodefont: Arial Black, 15

Text Te69
Description: Insert data
Nodelocation: 196,60,-1
Nodesize: 180,12
Nodeinfo: 1,0,0,1,1,0,1,,0,
Nodefont: Arial Black, 13

Text Te131
Description: Step 1
Nodelocation: 196,84,-1
Nodesize: 180,12
Nodeinfo: 1,0,0,1,1,0,1,,0,
Nodefont: Arial Black, 13

Text Te132
Description: Step 2
Nodelocation: 196,172,-1
Nodesize: 180,12
Nodeinfo: 1,0,0,1,1,0,1,,0,
Nodefont: Arial Black, 13

Text Te133
Description: Step 3
Nodelocation: 196,388,-1
Nodesize: 180,12
Nodeinfo: 1,0,0,1,1,0,1,,0,
Nodefont: Arial Black, 13

Text Te138
Nodelocation: 196,128,-5
Nodesize: 180,32
Nodeinfo: 1,0,0,1,1,0,0,,0,

Text Te139
Nodelocation: 196,280,-4
Nodesize: 180,96
Nodeinfo: 1,0,0,1,1,0,0,,0,

Text Te140
Nodelocation: 196,444,-3
Nodesize: 180,44
Nodeinfo: 1,0,0,1,1,0,0,,0,

Formnode Age_specific_mortal2
Title: Age-specific mortality ERF
Definition: 0
Nodelocation: 232,132,1
Nodesize: 136,12
Nodeinfo: 1,0,0,1,0,0,0,72,0,1
Original: Mort_erf_age_class

Formnode Mortality_erf_unit1
Title: Mortality ERF unit
Definition: 0
Nodelocation: 260,444,1
Nodesize: 108,12
Nodeinfo: 1,0,0,1,0,0,0,72,0,1
Nodecolor: 65535,52427,57888
Original: Mort_erf_unit

Text Te141
Description: Fill in if Age-specific mortality ERF = 'No'
Nodelocation: 196,220,-1
Nodesize: 124,20
Nodeinfo: 1,0,0,1,0,0,1,,0,
Nodefont: Arial Black, 13

Text Te147
Description: Fill in if Age-specific mortality ERF = 'Yes'
Nodelocation: 196,308,-1
Nodesize: 124,20
Nodeinfo: 1,0,0,1,0,0,1,,0,
Nodefont: Arial Black, 13

Module Technical_nodes5
Title: Technical nodes
Author: vkoe
Date: 19. Novta 2009 10:32
Defaultsize: 48,24
Nodelocation: 72,552,1
Nodesize: 48,24
Diagstate: 1,1,0,368,296,17

Variable Bod_mort_erf_gen
Title: General mortality ERF
Definition: Table(Sex,Mort_endpoint)(~
1,1~
)
Nodelocation: 120,80,1
Nodesize: 48,29
Defnstate: 2,223,267,416,303,0,MIDM
Valuestate: 2,340,379,416,303,0,MIDM
Aliases: Formnode General_mortality_e1
Nodecolor: 65535,52427,57888
Reformdef: [Sex,Mort_endpoint]
Reformval: [Sex,Mort_endpoint]

Variable Bod_mort_erf_as
Title: Age-specific mortality ERF
Definition: Table(Age,Sex,Mort_endpoint)(~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1~
)
Nodelocation: 120,152,1
Nodesize: 48,29
Defnstate: 2,226,200,565,642,0,MIDM
Valuestate: 2,367,376,416,303,0,MIDM
Aliases: Formnode Age_specific_mortal3
Nodecolor: 65535,52427,57888
Reformdef: [Mort_endpoint,Age]
Reformval: [Mort_endpoint,Age]
{!40000|Att_editslicestate: [Sex,1,Age1,1,Mort_endpoint,1]}

Variable Mort_erf_bod
Title: Mortality ERF
Definition: If Mort_erf_age_class = 'No' then Bod_mort_erf_gen else Bod_mort_erf_as
Nodelocation: 248,120,1
Nodesize: 48,24
Reformval: [Age,Mort_endpoint]

Close Technical_nodes5

Formnode General_mortality_e1
Title: General mortality ERF
Definition: 0
Nodelocation: 240,260,1
Nodesize: 128,12
Nodeinfo: 1,0,0,1,0,0,0,72,0,1
Nodecolor: 65535,52427,57888
Original: Bod_mort_erf_gen

Formnode Age_specific_mortal3
Title: Age-specific mortality ERF
Definition: 0
Nodelocation: 228,348,1
Nodesize: 140,12
Nodeinfo: 1,0,0,1,0,0,0,72,0,1
Nodecolor: 65535,52427,57888
Original: Bod_mort_erf_as

Text Te213
Description: Instructions
Nodelocation: 568,24,-1
Nodesize: 176,16
Nodeinfo: 1,0,0,1,0,1,1,,0,
Nodefont: Arial Black, 15

Text Te214
Description: Step 1
Nodelocation: 568,52,-1
Nodesize: 176,12
Nodeinfo: 1,0,0,1,0,1,1,,0,
Nodefont: Arial Black, 13

Text Te218
Description: Step 2
Nodelocation: 568,124,-1
Nodesize: 176,12
Nodeinfo: 1,0,0,1,0,1,1,,0,
Nodefont: Arial Black, 13

Text Te219
Description: Step 3
Nodelocation: 568,332,-1
Nodesize: 176,12
Nodeinfo: 1,0,0,1,0,1,1,,0,
Nodefont: Arial Black, 13

Text Te224
Description: Select whether or not you want to define age-specific exposure-response functions for mortality endpoints.
Nodelocation: 568,88,-1
Nodesize: 176,24
Nodeinfo: 1,0,0,1,0,1,0,,0,

Text Te225
Description: Type in or copy-paste exposure-response functions into the correct table. ~
~
ERFs should be in the form of relative risk (RR). If there is no RR, value 1 should be listed.~
~
Note! If Age-specific mortality ERF = 'Yes', then all ERFs for all mortality endpoints (including both age-specific and general) should be inputted in the 'Age-specific mortality ERF' -table.
Nodelocation: 568,228,-1
Nodesize: 176,92
Nodeinfo: 1,0,0,1,0,1,0,,0,

Text Te229
Description: Define the exposure unit to which the ERF relates to.
Nodelocation: 568,420,-1
Nodesize: 176,76
Nodeinfo: 1,0,0,1,0,1,0,,0,

Alias Note__input_data_ca1
Title: Note! Input data can be deterministic or probabilistic. Double click here to find information on how to input different types of distributions in Analytica.
Definition: 1
Nodelocation: 568,432,1
Nodesize: 128,56
Nodeinfo: 1,0,0,1,1,1,0,,0,
Original: How_to_define_distri

Close Double_click_to_def5

Module Double_click_to_def6
Title: Double click to define exposure scenarios
Author: vkoe
Date: 19. Novta 2009 10:32
Defaultsize: 48,24
Nodelocation: 416,208,1
Nodesize: 52,36
Diagstate: 2,92,113,928,756,17

Text Te148
Nodelocation: 196,228,-1
Nodesize: 180,220
Nodeinfo: 1,0,0,1,0,1,0,,0,

Text Te149
Nodelocation: 196,132,-1
Nodesize: 172,36
Nodeinfo: 1,0,0,1,1,0,0,,0,

Text Te150
Nodelocation: 196,272,-1
Nodesize: 172,80
Nodeinfo: 1,0,0,1,1,0,0,,0,

Text Te151
Description: Exposure scenarios
Nodelocation: 196,28,-1
Nodesize: 172,12
Nodeinfo: 1,0,0,1,0,0,1,,0,
Nodefont: Arial Black, 15

Text Te152
Description: Insert data
Nodelocation: 196,60,-1
Nodesize: 172,12
Nodeinfo: 1,0,0,1,1,0,1,,0,
Nodefont: Arial Black, 13

Text Te153
Description: Step 1
Nodelocation: 196,84,-1
Nodesize: 172,12
Nodeinfo: 1,0,0,1,1,0,1,,0,
Nodefont: Arial Black, 13

Text Te154
Description: Step 2
Nodelocation: 196,180,-1
Nodesize: 172,12
Nodeinfo: 1,0,0,1,1,0,1,,0,
Nodefont: Arial Black, 13

Formnode Age_specific_exposu3
Title: Age-specific exposure
Definition: 0
Nodelocation: 236,324,1
Nodesize: 124,12
Nodeinfo: 1,0,0,1,0,0,0,72,0,1
Nodecolor: 65535,52427,57888
Original: Exp_age

Formnode Age_specific_exposu2
Title: Age-specific exposure
Definition: 0
Nodelocation: 236,132,1
Nodesize: 124,12
Nodeinfo: 1,0,0,1,0,0,0,72,0,1
Original: Exp_age_class

Formnode General_exposure1
Title: General exposure
Definition: 0
Nodelocation: 248,252,1
Nodesize: 112,12
Nodeinfo: 1,0,0,1,0,0,0,72,0,1
Nodecolor: 65535,52427,57888
Original: Exp_gen

Text Te155
Description: Fill in if Age-specific exposure = 'No'
Nodelocation: 204,228,-1
Nodesize: 148,12
Nodeinfo: 1,0,0,1,0,0,1,,0,
Nodefont: Arial Black, 13

Text Te156
Description: Fill in if Age-specific exposure = 'Yes'
Nodelocation: 204,300,-1
Nodesize: 148,12
Nodeinfo: 1,0,0,1,0,0,1,,0,
Nodefont: Arial Black, 13

Text Te197
Description: Instructions
Nodelocation: 640,24,-1
Nodesize: 256,16
Nodeinfo: 1,0,0,1,0,1,1,,0,
Nodefont: Arial Black, 15

Text Te202
Description: Step 1
Nodelocation: 640,52,-1
Nodesize: 256,12
Nodeinfo: 1,0,0,1,0,1,1,,0,
Nodefont: Arial Black, 13

Text Te204
Description: Step 2
Nodelocation: 640,108,-1
Nodesize: 256,12
Nodeinfo: 1,0,0,1,0,1,1,,0,
Nodefont: Arial Black, 13

Text Te208
Description: Select whether or not you want to define age-specific exposure levels
Nodelocation: 640,80,-1
Nodesize: 256,16
Nodeinfo: 1,0,0,1,0,1,0,,0,

Text Te209
Description: Type in or copy-paste exposure data into the correct table. Exposure should be given as an average annual exposure level.~
~
*BAU: business-as-usual exposure level, should reflect the true or expected exposure conditions in the population~
*Alternative: alternative exposure level, can be below or above BAU level~
*Reference: reference exposure level, should be set to zero or natural background level~
~
Note! If health impacts occur only after some threshold exposure level, the defined exposure levels should reflect the threshold exceedance in different scenarios.~
~
In case of a categorical exposure estimate (exposure for a given person is either yes or no), the population exposure level in different scenarios should be defined as the fraction of the total population that is exposed, e.g.: ~
~
     1 = everybody is exposed ~
     0.5 = 50% of the population is exposed
Nodelocation: 640,284,-1
Nodesize: 256,164
Nodeinfo: 1,0,0,1,0,1,0,,0,

Alias Note__input_data_can
Title: Note! Input data can be deterministic or probabilistic. Double click here to find information on how to input different types of distributions in Analytica.
Definition: 1
Nodelocation: 192,568,1
Nodesize: 124,48
Nodeinfo: 1,0,0,1,1,1,0,,0,
Original: How_to_define_distri

Text Te247
Description: Step 3
Nodelocation: 196,364,-1
Nodesize: 172,12
Nodeinfo: 1,0,0,1,1,0,1,,0,
Nodefont: Arial Black, 13

Text Te248
Nodelocation: 196,404,-1
Nodesize: 172,28
Nodeinfo: 1,0,0,1,1,0,0,,0,

Formnode Fraction_of_exposed1
Title: Fraction of exposed population
Definition: 0
Nodelocation: 212,404,1
Nodesize: 148,12
Nodeinfo: 1,0,0,1,0,0,0,72,0,1
Nodecolor: 65535,52427,57888
Original: Pop_frac

Text Te252
Description: Step 3
Nodelocation: 640,460,-1
Nodesize: 256,12
Nodeinfo: 1,0,0,1,0,1,1,,0,
Nodefont: Arial Black, 13

Text Te253
Description: Define the fraction of total population that is assumed to expose to the defined exposure level, e.g.:~
~
     1=everybody is exposed~
     0.5=50% of the population is exposed ~
~
In BAU and Alternative scenarios, the rest of the population is assumed to expose to the reference scenario exposure level. Same fraction is assumed for the whole follow-up period and all age-groups.~
~
Note! In case the exposure estimate is of a categorical type (yes/no), the fraction should be set to 1 because the percentage of exposed population has already been defined above.
Nodelocation: 640,588,-1
Nodesize: 256,116
Nodeinfo: 1,0,0,1,0,1,0,,0,

Text Te257
Nodelocation: 196,580,-1
Nodesize: 180,124
Nodeinfo: 1,0,0,1,0,1,0,,0,

Close Double_click_to_def6

Module Double_click_to_def8
Title: Double click to define ERFs for morbidity endpoints
Author: vkoe
Date: 19. Novta 2009 10:32
Defaultsize: 48,24
Nodelocation: 416,312,1
Nodesize: 52,44
Diagstate: 2,106,144,836,517,17

Text Te157
Nodelocation: 200,236,-5
Nodesize: 192,228
Nodeinfo: 1,0,0,1,0,1,0,,0,

Text Te158
Description: Exposure-response function for morbidity
Nodelocation: 200,28,-1
Nodesize: 184,12
Nodeinfo: 1,0,0,1,0,0,1,,0,
Nodefont: Arial Black, 15

Text Te159
Description: Insert data
Nodelocation: 200,60,-1
Nodesize: 184,12
Nodeinfo: 1,0,0,1,1,0,1,,0,
Nodefont: Arial Black, 13

Text Te160
Description: Step 1
Nodelocation: 200,84,-1
Nodesize: 184,12
Nodeinfo: 1,0,0,1,1,0,1,,0,
Nodefont: Arial Black, 13

Text Te161
Description: Step 2
Nodelocation: 200,164,-1
Nodesize: 184,12
Nodeinfo: 1,0,0,1,1,0,1,,0,
Nodefont: Arial Black, 13

Text Te162
Nodelocation: 200,124,-4
Nodesize: 184,28
Nodeinfo: 1,0,0,1,1,0,0,,0,

Text Te163
Nodelocation: 200,256,-3
Nodesize: 184,80
Nodeinfo: 1,0,0,1,1,0,0,,0,

Text Te164
Nodelocation: 200,404,-1
Nodesize: 184,44
Nodeinfo: 1,0,0,1,1,0,0,,0,

Text Te165
Description: Step 3
Nodelocation: 200,348,-1
Nodesize: 184,12
Nodeinfo: 1,0,0,1,1,0,1,,0,
Nodefont: Arial Black, 13

Module Technical_nodes6
Title: Technical nodes
Author: vkoe
Date: 19. Novta 2009 10:32
Defaultsize: 48,24
Nodelocation: 64,592,1
Nodesize: 48,24
Diagstate: 1,376,139,355,286,17

Variable Bod_morb_erf_gen
Title: General morbidity ERF
Definition: Table(Sex,Morb_endpoint)(~
0,0~
)
Nodelocation: 112,80,1
Nodesize: 48,29
Defnstate: 2,259,243,416,303,0,MIDM
Valuestate: 2,356,342,416,303,0,MIDM
Aliases: Formnode General_morbidity_e1
Nodecolor: 65535,52427,57888
Reformdef: [Sex,Morb_endpoint]
Reformval: [Sex,Morb_endpoint]

Variable Bod_morb_erf_as
Title: Age-specific morbidity ERF
Definition: Table(Age,Sex,Morb_endpoint)(~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1,~
1,1~
)
Nodelocation: 112,152,1
Nodesize: 48,29
Defnstate: 2,236,215,416,441,0,MIDM
Aliases: Formnode Age_specific_mortal4
Nodecolor: 65535,52427,57888
Reformdef: [Morb_endpoint,Age]

Variable Morb_erf_bod
Title: Morbidity ERF
Definition: If Morb_erf_age_class = 'No' then Bod_morb_erf_gen else Bod_morb_erf_as
Nodelocation: 232,120,1
Nodesize: 48,24
Valuestate: 2,456,466,483,313,0,MIDM
Reformval: [Morb_endpoint,Age]

Close Technical_nodes6

Formnode General_morbidity_e1
Title: General morbidity ERF
Definition: 0
Nodelocation: 248,236,1
Nodesize: 128,12
Nodeinfo: 1,0,0,1,0,0,0,72,0,1
Nodecolor: 65535,52427,57888
Original: Bod_morb_erf_gen

Formnode Age_specific_mortal4
Title: Age-specific mortality ERF
Definition: 0
Nodelocation: 236,308,1
Nodesize: 140,12
Nodeinfo: 1,0,0,1,0,0,0,72,0,1
Nodecolor: 65535,52427,57888
Original: Bod_morb_erf_as

Formnode Age_specific_morbidi
Title: Age-specific morbidity ERF
Definition: 0
Nodelocation: 240,124,1
Nodesize: 136,12
Nodeinfo: 1,0,0,1,0,0,0,72,0,1
Original: Morb_erf_age_class

Formnode Morbidity_erf_unit1
Title: Morbidity ERF unit
Definition: 0
Nodelocation: 264,404,1
Nodesize: 112,12
Nodeinfo: 1,0,0,1,0,0,0,72,0,1
Nodecolor: 65535,52427,57888
Original: Morb_erf_unit

Text Te166
Description: Fill in if Age-specific morbidity ERF = 'No'
Nodelocation: 212,212,-1
Nodesize: 164,12
Nodeinfo: 1,0,0,1,0,0,1,,0,
Nodefont: Arial Black, 13

Text Te167
Description: Fill in if Age-specific morbidity ERF = 'Yes'
Nodelocation: 212,284,-1
Nodesize: 164,12
Nodeinfo: 1,0,0,1,0,0,1,,0,
Nodefont: Arial Black, 13

Text Te230
Description: Instructions
Nodelocation: 596,20,-1
Nodesize: 196,12
Nodeinfo: 1,0,0,1,0,1,1,,0,
Nodefont: Arial Black, 15

Text Te234
Description: Step 1
Nodelocation: 596,44,-1
Nodesize: 196,12
Nodeinfo: 1,0,0,1,0,1,1,,0,
Nodefont: Arial Black, 13

Text Te235
Description: Step 2
Nodelocation: 596,116,-1
Nodesize: 196,12
Nodeinfo: 1,0,0,1,0,1,1,,0,
Nodefont: Arial Black, 13

Text Te236
Description: Step 3
Nodelocation: 596,308,-1
Nodesize: 196,12
Nodeinfo: 1,0,0,1,0,1,1,,0,
Nodefont: Arial Black, 13

Text Te237
Description: Select whether or not you want to define age-specific exposure-response functions for morbidity endpoints.
Nodelocation: 596,80,-1
Nodesize: 196,24
Nodeinfo: 1,0,0,1,0,1,1,,0,
Nodefont: Arial, 13

Text Te238
Description: Type in or copy-paste exposure-response functions into the correct table. ~
~
ERFs should be in the form of relative risk (RR). If there is no RR, value 1 should be listed.~
~
Note! If Age-specific morbidity ERF = 'Yes', then all ERFs for all morbidity endpoints (including both age-specific and general) should be inputted in the 'Age-specific morbidity ERF' -table.
Nodelocation: 596,212,-1
Nodesize: 196,84
Nodeinfo: 1,0,0,1,0,1,1,,0,
Nodefont: Arial, 13

Text Te239
Description: Define the exposure unit to which the ERF relates to.
Nodelocation: 596,392,-1
Nodesize: 196,72
Nodeinfo: 1,0,0,1,0,1,1,,0,
Nodefont: Arial, 13

Alias Note__input_data_ca2
Title: Note! Input data can be deterministic or probabilistic. Double click here to find information on how to input different types of distributions in Analytica.
Definition: 1
Nodelocation: 592,400,1
Nodesize: 128,56
Nodeinfo: 1,0,0,1,1,1,0,,0,
Original: How_to_define_distri

Close Double_click_to_def8

Text Te196
Description: Click on the red button to calculate a result for a given health impact indicator~
~
*YLL: loss of life years due to premature mortality attributable to the exposure~
*YLD: loss of life years due to disability attributable to the exposure~
*DALY: loss of disability adjusted life years attributable to the exposure
Nodelocation: 728,436,-1
Nodesize: 232,68
Nodeinfo: 1,0,0,1,0,1,0,,0,

Formnode Daly__total1
Title: DALY, total
Definition: 1
Nodelocation: 312,572,1
Nodesize: 160,12
Nodeinfo: 1,0,0,1,0,0,0,72,0,1
Original: Daly_tot

Formnode Yld__total1
Title: YLD, total
Definition: 1
Nodelocation: 316,508,1
Nodesize: 156,12
Nodeinfo: 1,0,0,1,0,0,0,72,0,1
Original: Yld_tot

Formnode Yll__total1
Title: YLL, total
Definition: 1
Nodelocation: 316,444,1
Nodesize: 156,12
Nodeinfo: 1,0,0,1,0,0,0,72,0,1
Original: Yll_tot

Text Te113
Description: Model outcomes
Nodelocation: 248,388,-1
Nodesize: 232,12
Nodeinfo: 1,0,0,1,1,0,1,,0,
Nodefont: Arial Black, 13

Close Total_burden_of_dise

Text Te56
Description: According to the starting point for the assessment, double click the correct box to define input data and calculate results
Nodelocation: 220,552,-1
Nodesize: 172,32
Nodeinfo: 1,0,0,1,0,0,1,,0,
Nodefont: Arial Black, 13

Module Health_outcome_scena
Title: Health outcome scenarios
Author: jtue
Date: 17. huhta 2009 14:34
Defaultsize: 48,24
Nodelocation: 216,632,1
Nodesize: 56,28
Nodeinfo: 1,0,0,1,1,1,0,,0,
Diagstate: 2,41,6,1211,1046,17
Nodecolor: 52427,58983,65535

Module Double_click_to_def1
Title: Double click to define mortality outcome scenarios
Author: vkoe
Date: 21. Janta 2009 9:47
Defaultsize: 48,24
Nodelocation: 312,264,1
Nodesize: 52,44
Nodeinfo: 1,0,0,1,1,1,0,,0,
Diagstate: 2,90,85,920,637,17

Text Te29
Title: Te29
Nodelocation: 236,232,-5
Nodesize: 220,216
Nodeinfo: 1,0,0,1,0,1,0,,0,

Text Te108
Description: Mortality outcome scenarios
Nodelocation: 236,34,-1
Nodesize: 212,14
Nodeinfo: 1,0,0,1,0,0,1,,0,
Nodefont: Arial Black, 15

Text Te109
Description: Insert data:
Nodelocation: 236,68,-1
Nodesize: 212,12
Nodeinfo: 1,0,0,1,1,0,1,,0,
Nodefont: Arial Black, 13

Text Te226
Description: Instructions
Nodelocation: 676,32,-1
Nodesize: 212,16
Nodeinfo: 1,0,0,1,0,1,1,,0,
Nodefont: Arial Black, 15

Text Te227
Description: Step 1
Nodelocation: 676,60,-1
Nodesize: 212,12
Nodeinfo: 1,0,0,1,0,1,1,,0,
Nodefont: Arial Black, 13

Text Te228
Description: Step 2
Nodelocation: 676,176,-1
Nodesize: 212,16
Nodeinfo: 1,0,0,1,0,1,1,,0,
Nodefont: Arial Black, 13

Alias Double_click_for_in5
Title: Double click for instructions on how to define distributions
Definition: 1
Nodelocation: 672,456,1
Nodesize: 124,56
Nodeinfo: 1,0,0,1,1,1,0,,0,
Original: How_to_define_distri

Formnode Change_in_risk
Title: Change in risk
Definition: 0
Nodelocation: 252,316,1
Nodesize: 196,12
Nodeinfo: 1,0,0,1,0,0,0,72,0,1
Nodecolor: 65535,52427,61166
Original: Change_mort_gen

Formnode Fraction_of_baseline
Title: Fraction of baseline mortality due to risk factor
Definition: 0
Nodelocation: 256,132,1
Nodesize: 192,12
Nodeinfo: 1,0,0,1,0,0,0,72,0,1
Nodecolor: 65535,52427,61166
Original: Input_mort_abfrac

Formnode Year_specific_change
Title: Year-specific change in risk
Definition: 0
Nodelocation: 272,228,1
Nodesize: 176,12
Nodeinfo: 1,0,0,1,0,0,0,72,0,1
Original: Ys_change_mort

Text Te114
Description: Step 1
Nodelocation: 236,92,-1
Nodesize: 212,12
Nodeinfo: 1,0,0,1,1,0,1,,0,
Nodefont: Arial Black, 13

Text Te242
Description: Step 2
Nodelocation: 236,172,-1
Nodesize: 212,12
Nodeinfo: 1,0,0,1,1,0,1,,0,
Nodefont: Arial Black, 13

Text Te243
Nodelocation: 236,132,-1
Nodesize: 212,28
Nodeinfo: 1,0,0,1,1,0,0,,0,

Text Te244
Nodelocation: 236,312,-1
Nodesize: 212,128
Nodeinfo: 1,0,0,1,1,0,0,,0,

Text Te245
Description: Define the fraction of deaths that is caused by the exposure/risk factor of interest in the mortality input data. This data is used to determine the mortality risk attributable to the exposure/risk factor of interest in BAU scenario in the beginning of the assessment.~

Nodelocation: 676,116,-1
Nodesize: 212,44
Nodeinfo: 1,0,0,1,0,1,0,,0,

Text Te24
Description: Select whether or not you want to define follow-up year -specific input for mortality outcome calculation.~
~
Type in or copy-paste a percentage change in the attributable mortality risk into the correct the table, e.g.~
       5% increase = 5~
       5% decrease = -5.~
~
Note! The precentage change refers to change in the attributable risk compared to the level of attributable risk in BAU scenario in the beginning of the assessment.~
~
~
~

Nodelocation: 676,360,-1
Nodesize: 212,168
Nodeinfo: 1,0,0,1,0,1,0,,0,

Formnode Year_specific_chang3
Title: Year-specific change in risk
Definition: 0
Nodelocation: 236,404,1
Nodesize: 212,12
Nodeinfo: 1,0,0,1,0,0,0,72,0,1
Nodecolor: 65535,52427,61166
Original: Change_mort_ys

Text Te118
Description: Fill in if Year-specific change in risk = 'No':
Nodelocation: 220,284,-1
Nodesize: 164,12
Nodeinfo: 1,0,0,1,0,0,1,,0,
Nodefont: Arial Black, 13

Text Te119
Description: Fill in if Year-specific change in risk = 'Yes':
Nodelocation: 224,372,-1
Nodesize: 168,12
Nodeinfo: 1,0,0,1,0,0,1,,0,
Nodefont: Arial Black, 13

Close Double_click_to_def1

Formnode Baseline_mortality2
Title: Baseline mortality
Definition: 0
Nodelocation: 360,172,1
Nodesize: 128,12
Nodeinfo: 1,0,0,1,0,0,0,72,0,1
Nodecolor: 65535,52427,57888
Original: Mort_data

Formnode Birth_rate2
Title: Birth rate
Definition: 0
Nodelocation: 364,140,1
Nodesize: 124,12
Nodeinfo: 1,0,0,1,0,0,0,72,0,1
Nodecolor: 65535,52427,57888
Original: Birth_rate

Formnode Population2
Title: Population
Definition: 0
Nodelocation: 384,108,1
Nodesize: 104,12
Nodeinfo: 1,0,0,1,0,0,0,72,0,1
Nodecolor: 65535,52427,57888
Original: Pop_data

Text Te53
Title: Te53
Nodelocation: 256,608,-1
Nodesize: 248,592
Nodeinfo: 1,0,0,1,0,1,0,,0,

Text Te57
Description: Population
Nodelocation: 256,140,-1
Nodesize: 240,68
Nodeinfo: 1,0,0,1,1,0,0,,0,

Text Te58
Description: YLD calculation inputs
Nodelocation: 256,376,-1
Nodesize: 240,56
Nodeinfo: 1,0,0,1,1,0,0,,0,

Text Te59
Nodelocation: 776,848,-1
Nodesize: 240,56
Nodeinfo: 1,0,0,1,1,0,1,,0,
Nodefont: Arial Black, 13

Alias Double_click_to_view
Title: Double click to view the model
Definition: 1
Nodelocation: 96,616,1
Nodesize: 64,32
Nodeinfo: 1,0,0,1,1,1,0,,0,
Original: Model2

Text Te62
Description: Population data: click on 'Edit table' and type in/copy-paste the data into the table.~
*Population: number of population~
*Birth rate: annual number of births~
*Mortality data: annual number of deaths in the beginning of the assessment in business-as-usual (BAU) scenario~
~
Mortality/morbidity outcome scenarios and YLD calculation data: double click on the blue box to continue inputting the data.~
~
Time discount rate: define the annual discount rate applied in the valuation of future gains or losses of life.~
~
Age weighting: select  whether or not to apply age weighting in the valuation of life lost or lived with morbidity.~
*No = No age weighting applied~
*Yes = Life lost at a given age is weighed according to the following formula: Cxe^(bx), where x = age in years, C = 0.1658, b = 0.04. This is the formula used in the Global Burden of Disease studies. For further information, see: Murray 1994. Quantifying the burden of disease: the technical basis for disability-adjusted life years. Bulletin of the World Health Organization 72, 429-445.
Nodelocation: 836,292,-4
Nodesize: 324,220
Nodeinfo: 1,0,0,1,0,1,0,,0,

Text Te20
Description: Health outcome
Nodelocation: 256,264,-1
Nodesize: 240,56
Nodeinfo: 1,0,0,1,1,0,0,,0,

Text Te63
Description: Insert data
Nodelocation: 256,60,-1
Nodesize: 240,12
Nodeinfo: 1,0,0,1,1,0,1,,0,
Nodefont: Arial Black, 13

Module Double_click_to_def7
Title: Double click to define morbidity outcome scenarios
Author: vkoe
Date: 12. Mayta 2009 15:35
Defaultsize: 48,24
Nodelocation: 432,264,1
Nodesize: 52,44
Diagstate: 2,50,55,1032,816,17

Formnode Baseline_morbidity4
Title: Baseline morbidity
Definition: 0
Nodelocation: 376,188,1
Nodesize: 128,12
Nodeinfo: 1,0,0,1,0,0,0,72,0,1
Nodecolor: 65535,52427,57888
Original: Morb_data

Text Te115
Nodelocation: 260,268,-6
Nodesize: 252,260
Nodeinfo: 1,0,0,1,0,1,0,,0,

Text Te116
Description: Morbidity outcome scenarios
Nodelocation: 260,28,-1
Nodesize: 244,12
Nodeinfo: 1,0,0,1,0,0,1,,0,
Nodefont: Arial Black, 15

Text Te117
Description: Input data:
Nodelocation: 260,60,-1
Nodesize: 244,12
Nodeinfo: 1,0,0,1,0,0,1,,0,
Nodefont: Arial Black, 13

Text Te120
Description: Step 1
Nodelocation: 260,84,-1
Nodesize: 244,12
Nodeinfo: 1,0,0,1,1,0,1,,0,
Nodefont: Arial Black, 13

Text Te121
Description: Step 2
Nodelocation: 260,260,-1
Nodesize: 244,12
Nodeinfo: 1,0,0,1,1,0,1,,0,
Nodefont: Arial Black, 13

Text Te122
Nodelocation: 260,172,-5
Nodesize: 244,76
Nodeinfo: 1,0,0,1,1,0,0,,0,

Text Te123
Nodelocation: 260,392,-4
Nodesize: 244,120
Nodeinfo: 1,0,0,1,1,0,0,,0,

Text Te124
Description: Select what type of input data you want to provide~
~
*Percentage change: % increase/decrease in the morbidity risk attributable to the exposure/risk factor of interest~
*No. of cases: number of morbidity cases attributable to the exposure/risk factor of interest~
~
If the type of input data is 'precentage change', provide the following data: ~
*Morbidity data: annual number of morbidity cases in the beginning of the assessment in BAU scenario~
*Attributable fraction: define the fraction of morbidity cases attributable to the exposure/risk factor in the morbidity input data.~
~
This data is used to determine the attributable morbidity risk in BAU scenario in the beginning of the assessment.
Nodelocation: 780,204,-8
Nodesize: 260,132
Nodeinfo: 1,0,0,1,0,1,0,,0,

Text Te231
Description: Instructions
Nodelocation: 780,24,-1
Nodesize: 260,16
Nodeinfo: 1,0,0,1,0,1,1,,0,
Nodefont: Arial Black, 15

Text Te232
Description: Step 1
Nodelocation: 780,56,-1
Nodesize: 260,16
Nodeinfo: 1,0,0,1,0,1,1,,0,
Nodefont: Arial Black, 13

Text Te233
Description: Step 2
Nodelocation: 780,348,-1
Nodesize: 260,12
Nodeinfo: 1,0,0,1,0,1,1,,0,
Nodefont: Arial Black, 13

Alias Double_click_for_i12
Title: Double click for instructions on how to define distributions
Definition: 1
Nodelocation: 792,712,1
Nodesize: 124,52
Nodeinfo: 1,0,0,1,1,1,0,,0,
Original: How_to_define_distri

Text Te191
Description: Select whether or not you want to define follow-up year -specific input data for morbidity outcome calculation.~
~
Type in or copy-paste the data into the correct the table.~
~
If the input for morbidity outcome calculation is 'precentage change', insert a precentage change into the correct table, e.g.~
       5% increase = 5~
       5% decrease = -5~
~
Note! The precentage change refers to change in the attributable risk compared to the level of attributable risk in BAU scenario in the beginning of the assessment.~
~
If the input for morbidity outcome calculation is 'no. of cases', insert the annual number of attributable morbidity cases, e.g.~
       0 attributable cases annually = 0~
       50 attributable cases annually = 50~
~
~
~

Nodelocation: 780,568,-1
Nodesize: 260,208
Nodeinfo: 1,0,0,1,0,1,0,,0,

Formnode Change_in_morbidity_
Title: Change in morbidity risk
Definition: 0
Nodelocation: 288,388,1
Nodesize: 216,12
Nodeinfo: 1,0,0,1,0,0,0,72,0,1
Nodecolor: 65535,52427,61166
Original: Outcome_morb_gen

Formnode Fraction_of_of_basel
Title: Fraction of of baseline morbidity caused by risk factor
Definition: 0
Nodelocation: 340,220,1
Nodesize: 164,12
Nodeinfo: 1,0,0,1,0,0,0,72,0,1
Nodecolor: 65535,52427,61166
Original: Input_morb_abfrac

Formnode Type_of_change
Title: Type of change
Definition: 0
Nodelocation: 332,124,1
Nodesize: 172,12
Nodeinfo: 1,0,0,1,0,0,0,72,0,1
Original: Input_morb_outcome

Formnode Year_specific_chang2
Title: Year-specific change in morbidity risk
Definition: 0
Nodelocation: 272,476,1
Nodesize: 232,12
Nodeinfo: 1,0,0,1,0,0,0,72,0,1
Nodecolor: 65535,52427,61166
Original: Outcome_morb_ys

Formnode Year_specific_chang1
Title: Year-specific change in risk
Definition: 0
Nodelocation: 324,308,1
Nodesize: 180,12
Nodeinfo: 1,0,0,1,0,0,0,72,0,1
Original: Ys_change_morb

Text Te190
Description: Fill in if Year-specific exposure = 'No':
Nodelocation: 180,364,-1
Nodesize: 148,12
Nodeinfo: 1,0,0,1,0,0,1,,0,
Nodefont: Arial Black, 13

Text Te246
Description: Fill in if Year-specific exposure = 'Yes':
Nodelocation: 184,452,-1
Nodesize: 152,12
Nodeinfo: 1,0,0,1,0,0,1,,0,
Nodefont: Arial Black, 13

Close Double_click_to_def7

Text Te221
Description: Instructions
Nodelocation: 836,32,-1
Nodesize: 324,16
Nodeinfo: 1,0,0,1,0,1,1,,0,
Nodefont: Arial Black, 15

Text Te64
Description: Assessment starting point: Health outcome scenarios
Nodelocation: 252,28,-1
Nodesize: 236,12
Nodeinfo: 1,0,0,1,0,0,1,,0,
Nodefont: Arial Black, 15

Text Te222
Description: Required input data:
Nodelocation: 836,60,-1
Nodesize: 324,12
Nodeinfo: 1,0,0,1,0,1,1,,0,
Nodefont: Arial Black, 13

Text Te223
Description: Model outcomes:
Nodelocation: 836,532,-1
Nodesize: 324,12
Nodeinfo: 1,0,0,1,0,1,1,,0,
Nodefont: Arial Black, 13

Alias Double_click_to_de15
Title: Double click to define severity weight
Definition: 1
Nodelocation: 432,376,1
Nodesize: 52,44
Original: Double_click_to_def4

Alias Double_click_to_de14
Title: Double click to define duration of morbidity
Definition: 1
Nodelocation: 312,376,1
Nodesize: 52,44
Original: Double_click_to_def3

Alias Double_click_for_i11
Title: Double click for instructions on how to define distributions
Definition: 1
Nodelocation: 824,448,1
Nodesize: 128,52
Nodeinfo: 1,0,0,1,1,1,0,,0,
Original: How_to_define_distri

Formnode Age_specific_life_ex
Title: Age-specific life expectancy
Definition: 1
Nodelocation: 324,756,1
Nodesize: 164,12
Nodeinfo: 1,0,0,1,0,0,0,72,0,1
Nodecolor: 65535,19661,38773
Original: Ad_le

Formnode Daly_
Title: DALY~
(approach 1)
Definition: 1
Nodelocation: 364,1156,1
Nodesize: 124,12
Nodeinfo: 1,0,0,1,0,0,0,72,0,1
Nodecolor: 65535,19661,38773
Original: Daly_spec

Formnode Life_expectancy_in_b
Title: Life expectancy in birth cohort
Definition: 1
Nodelocation: 320,686,1
Nodesize: 168,14
Nodeinfo: 1,0,0,1,0,0,0,72,0,1
Nodecolor: 65535,19661,38773
Original: Le_cohort

Formnode Loss_of_age_specifi1
Title: Loss of age-specific life expectancy
Definition: 1
Nodelocation: 300,788,1
Nodesize: 188,12
Nodeinfo: 1,0,0,1,0,0,0,72,0,1
Original: Ad_le_loss

Formnode Loss_of_life_expect1
Title: Loss of life expectancy in birth cohort
Definition: 1
Nodelocation: 300,718,1
Nodesize: 188,14
Nodeinfo: 1,0,0,1,0,0,0,72,0,1
Original: Le_loss

Formnode Yld1
Title: YLD
Definition: 1
Nodelocation: 368,1092,1
Nodesize: 120,12
Nodeinfo: 1,0,0,1,0,0,0,72,0,1
Nodecolor: 65535,19661,38773
Original: Yld_spec

Formnode Yll__
Title: YLL ~
(approach 1)
Definition: 1
Nodelocation: 368,1028,1
Nodesize: 120,12
Nodeinfo: 1,0,0,1,0,0,0,72,0,1
Nodecolor: 65535,19661,38773
Original: Yll_spec

Text Te130
Description: Model outcomes
Nodelocation: 256,564,-1
Nodesize: 240,12
Nodeinfo: 1,0,0,1,1,0,1,,0,
Nodefont: Arial Black, 13

Text Te169
Description: Select the outcome of interest:~
*EBD = Health impact caused by the given exposure level in different scenarios~
*Change in BoD = Increase/decrease in health impact in the alternative scenario in relation to BAU~
~
Select the approach for calculating YLL:~
*Life tables: YLL in BAU and Alternative scenarios is calculated based on the population projections and the difference in the number of life years lived during the follow-up period in the BAU/Alternative scenario compared to the hypothetical Reference scenario (zero or natural background exposure level). It should be noted, that in this approach the total amount of life lost due to a given premature mortality case is NOT allocated to the year during which the death occurs, but to all future follow-up years when the life would have taken place if death would not have occurred. ~
*Attributable deaths: YLL is calculated based on year and age-specific attributable deaths and age-specific life expectancy in the Reference scenario. Hence, the total life lost due to a given premature mortality case is allocated to the year when the death takes place. ~
~
Note! In case of morbidity incidence endpoints in YLD calculation, the total life lost due to disability caused by a morbidity case is allocated to the year when the morbidity appears, regardless of the selected approach for the calculation of YLL ~
~
Click on the red button to calculate a result for a given health impact indicator~
~
Life expectancy:~
*Life expectancy in birth cohort: average life expectancy in a people born in the first year of the assessment~
*Loss of life expectancy in birth cohort: average loss of life expectancy compared to the reference exposure level~
*Age-adjusted life expectancy: average age-specific life-expectancy~
*Loss of age-adjusted life expectancy: average loss of age-specific life expectancy compared to the reference exposure level~
~
Mortality / morbidity counts:~
*Attributable mortality: number of deaths attributable to the exposure~
*Attributable morbidity: number of morbidity cases attributable to the exposure~
~
Burden of disease:~
*YLL: loss of life years due to premature mortality attributable to the exposure~
*YLD: loss of life years due to disability attributable to the exposure~
*DALY: loss of disability adjusted life years attributable to the exposure
Nodelocation: 836,872,-1
Nodesize: 324,328
Nodeinfo: 1,0,0,1,0,1,0,0,0,0

Formnode Approach_for_yll_cal
Title: Approach for YLL calculation
Definition: 0
Nodelocation: 348,628,1
Nodesize: 140,12
Nodeinfo: 1,0,0,1,0,0,0,72,0,1
Original: App_yll

Text Te192
Description: Time discount rate
Nodelocation: 256,460,-1
Nodesize: 240,28
Nodeinfo: 1,0,0,1,1,0,0,,0,

Formnode Discount_rate
Title: Discount rate
Definition: 0
Nodelocation: 356,468,1
Nodesize: 132,12
Nodeinfo: 1,0,0,1,0,0,0,72,0,1
Nodecolor: 65535,52427,57888
Original: Discount

Formnode Outcome_of_interest1
Title: Outcome of interest
Definition: 0
Nodelocation: 372,596,1
Nodesize: 116,12
Nodeinfo: 1,0,0,1,0,0,0,72,0,1
Original: Outcome

Formnode Daly__total2
Title: DALY, total
Definition: 1
Nodelocation: 328,1124,1
Nodesize: 160,12
Nodeinfo: 1,0,0,1,0,0,0,72,0,1
Original: Daly_tot

Formnode Morbidity__total1
Title: Morbidity, total
Definition: 1
Nodelocation: 316,908,1
Nodesize: 172,12
Nodeinfo: 1,0,0,1,0,0,0,72,0,1
Original: Ab_morbidity_tot

Formnode Morbidity__specified
Title: Morbidity, specified
Definition: 1
Nodelocation: 348,940,1
Nodesize: 140,12
Nodeinfo: 1,0,0,1,0,0,0,72,0,1
Nodecolor: 65535,19661,38773
Original: Ab_morbidity_spec

Formnode Mortality__total1
Title: Mortality, total
Definition: 1
Nodelocation: 316,844,1
Nodesize: 172,12
Nodeinfo: 1,0,0,1,0,0,0,72,0,1
Original: Ab_mortality_tot

Formnode Mortality__specified
Title: Mortality, specified
Definition: 1
Nodelocation: 348,876,1
Nodesize: 140,12
Nodeinfo: 1,0,0,1,0,0,0,72,0,1
Nodecolor: 65535,19661,38773
Original: Ab_mortality_spec

Formnode Yld__total2
Title: YLD, total
Definition: 1
Nodelocation: 332,1060,1
Nodesize: 156,12
Nodeinfo: 1,0,0,1,0,0,0,72,0,1
Original: Yld_tot

Formnode Yll__total2
Title: YLL, total
Definition: 1
Nodelocation: 332,996,1
Nodesize: 156,12
Nodeinfo: 1,0,0,1,0,0,0,72,0,1
Original: Yll_tot

Text Te40
Description: Life expectancy
Nodelocation: 256,732,-1
Nodesize: 240,76
Nodeinfo: 1,0,0,1,1,0,0,,0,

Text Te110
Description: Motality/morbidity counts
Nodelocation: 256,884,-1
Nodesize: 240,76
Nodeinfo: 1,0,0,1,1,0,0,,0,

Text Te111
Description: Burden of disease
Nodelocation: 256,1072,-1
Nodesize: 240,112
Nodeinfo: 1,0,0,1,1,0,0,,0,

Text Te112
Nodelocation: 256,616,-1
Nodesize: 240,40
Nodeinfo: 1,0,0,1,1,0,0,,0,

Text Te256
Description: Age weighting
Nodelocation: 256,512,-1
Nodesize: 240,24
Nodeinfo: 1,0,0,1,1,0,0,,0,

Formnode Age_weighting2
Title: Age weighting
Definition: 0
Nodelocation: 384,516,1
Nodesize: 104,12
Nodeinfo: 1,0,0,1,0,0,0,72,0,1
Original: Age_weighting

Close Health_outcome_scena

Text Te176
Description: Instructions
Nodelocation: 720,24,-1
Nodesize: 256,16
Nodeinfo: 1,0,0,1,0,1,1,,0,
Nodefont: Arial Black, 15

Text Te177
Description: 1) Select the starting point for the assessment
Nodelocation: 720,56,-1
Nodesize: 256,12
Nodeinfo: 1,0,0,1,0,1,1,,0,
Nodefont: Arial Black, 13

Text Te178
Description: 2) Define mortality endpoints
Nodelocation: 720,260,-1
Nodesize: 256,12
Nodeinfo: 1,0,0,1,0,1,1,,0,
Nodefont: Arial Black, 13

Text Te179
Description: 3) Define morbidity endpoints
Nodelocation: 720,420,-1
Nodesize: 256,12
Nodeinfo: 1,0,0,1,0,1,1,,0,
Nodefont: Arial Black, 13

Text Te180
Description: 4) Select whether or not to assess sex-specified health impacts
Nodelocation: 720,480,-1
Nodesize: 256,16
Nodeinfo: 1,0,0,1,0,1,1,,0,
Nodefont: Arial Black, 13

Text Te181
Description: 5) Define the starting year for the assessment
Nodelocation: 720,556,-1
Nodesize: 256,12
Nodeinfo: 1,0,0,1,0,1,1,,0,
Nodefont: Arial Black, 13

Text Te182
Description: 6) Define the number of follow-up years for which impacts are calculated
Nodelocation: 720,589,-1
Nodesize: 256,21
Nodeinfo: 1,0,0,1,0,1,1,,0,
Nodefont: Arial Black, 13

Text Te21
Description: If the starting point for the assessment is 'Exposure scenarios' or 'Health outcome scenarios', then the list of mortality endpoints needs to cover ALL causes of death. However, total mortality should not be divided into more sub-categories than needed to distingish the mortality endpoints of interest.~
~
If the starting point for the assessment is 'Total burden of disease', then the list should cover only the mortality endpoints of interest.
Nodelocation: 720,340,-1
Nodesize: 256,68
Nodeinfo: 1,0,0,1,0,1,0,,0,

Text Te41
Description: List morbidity endpoints included in the assessment.
Nodelocation: 720,448,-1
Nodesize: 256,16
Nodeinfo: 1,0,0,1,0,1,0,,0,

Text Te129
Description: Continue by double clicking the correct module according to the starting point for the assessment.
Nodelocation: 720,660,-1
Nodesize: 256,20
Nodeinfo: 1,0,0,1,0,1,0,,0,

Text Te137
Description: If starting point for the assessment is 'Exposure scenarios' or 'Health outcome scenarios':
Nodelocation: 720,524,-1
Nodesize: 256,20
Nodeinfo: 1,0,0,1,0,1,0,0,0,0

Formnode Morbidity_endpoints
Title: Morbidity endpoints
Definition: 0
Nodelocation: 328,236,1
Nodesize: 120,12
Nodeinfo: 1,0,0,1,0,0,0,72,0,1
Original: Morb_endpoint

Formnode Mortality_endpoints
Title: Mortality endpoints
Definition: 0
Nodelocation: 328,204,1
Nodesize: 120,12
Nodeinfo: 1,0,0,1,0,0,0,72,0,1
Original: Mort_endpoint

Formnode Sex_specified_impact
Title: Sex specified impact assessment
Definition: 0
Nodelocation: 288,268,1
Nodesize: 160,12
Nodeinfo: 1,0,0,1,0,0,0,72,0,1
Original: Sex_class

Formnode Starting_point_for_t
Title: Starting point for the assessment
Definition: 0
Nodelocation: 288,172,1
Nodesize: 160,12
Nodeinfo: 1,0,0,1,0,0,0,72,0,1
Original: Assessment_type

Text Te55
Nodelocation: 232,584,-3
Nodesize: 224,96
Nodeinfo: 1,0,0,1,0,1,0,,0,

Text Te17
Nodelocation: 232,292,-4
Nodesize: 224,188
Nodeinfo: 1,0,0,1,0,1,0,,0,

Formnode Assessment_start_yea
Title: Assessment start year
Definition: 0
Nodelocation: 324,388,1
Nodesize: 124,12
Nodeinfo: 1,0,0,1,0,0,0,72,0,1
Nodecolor: 65535,52427,57888
Original: Start_year

Formnode Follow_up_period
Title: Follow-up period
Definition: 0
Nodelocation: 320,420,1
Nodesize: 128,12
Nodeinfo: 1,0,0,1,0,0,0,72,0,1
Nodecolor: 65535,52427,57888
Original: Followup_time

Text Te135
Description: The Impact Calculation Tool (ICT)
Nodelocation: 232,24,-1
Nodesize: 224,16
Nodeinfo: 1,0,0,1,0,1,1,,0,
Nodefont: Arial Black, 19

Text Te185
Description: ICT is a modelling tool for health impact assessments. It allows calculation of different types of health indicators for various environmental exposures.
Nodelocation: 232,68,-1
Nodesize: 224,28
Nodeinfo: 1,0,0,1,0,1,0,,0,

Text Te11
Description: Number of follow-up years can be 1 or any number divisible by five up to 100.
Nodelocation: 720,620,-1
Nodesize: 256,12
Nodeinfo: 1,0,0,1,0,1,0,,0,

Text Te254
Description: Note! If follow-up period is changed after inputting data, some input tables may have to be updated.
Nodelocation: 104,412,-1
Nodesize: 80,44
Nodeinfo: 1,0,0,1,0,0,1,,0,
Nodefont: Arial, 13

Close The_model