Disease risk

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Question

What are incidence or prevalence rates of different diseases in Finland?

Answer

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----#: . Code seems to work, but gives out the yellow errorbox. (type: truth, paradigm: science view) --Heta 13:02, 27 August 2013 (EEST)

Rationale

Data

Data from op_fi:Seturi/tautiriski

Population column defines the relevant population subgroup other than age and sex subgroups, which are defined in their respective columns. The numbers of cases are divided by the size of the population (total population even in cases where the cases are from a subgroup only. The population size is estimated at 5375276 in 2010, and this is used as denominator in the incidence calculation.

Disease risk(# /100000py, DALY)
ObsResponsePopulationAgeSexUnitIncidenceActual casesDescription
1Lung cancer morbidityWhole populationcases /100000py42.3422276Year 2010 cancer register
2Cardiopulmonary mortalityWhole populationcases /100000py443.51223840
3Total mortalityWhole populationcases /100000py940.752505682011 data, Tilastokeskus
4Bladder cancer morbidityWhole populationcases /100000py16.706898Year 2010 cancer register
5Myocardial infarction morbidityWhole populationcases /100000py463.19524898
6Ischaemic heart disease mortalityWhole populationcases /100000py221.14211887
7Coronary heart disease mortalityWhole populationcases /100000py221.14211887This is a duplicate of the previous row to match more ERFs
8CHD arrythmia mortalityWhole populationcases /100000py221.14211887This is a duplicate of the previous row to match more ERFs
9Asthma morbidityWhole populationcases /100000py270.88814561
10Asthma morbidityWhole population>21cases /100000py176.1039466
11Asthma morbidityWhole population<14cases /100000py81.2244366
12Pulmonary infection morbidityWhole population<2DALY35
13Otitis mediaWhole population<3DALY48
14Lower respiratory symptoms morbidityWhole populationcases /100000py8985.585483000
15Upper respiratory symptoms morbidityWhole populationcases /100000py17279.969928846
16Ischaemic heart disease/myocardial infarction morbidityWhole population35-64Malecases /100000py86.6465535-64v miesten 1. infarktin insidenssi 354/100000 1991-4. Aromaa ym Suomalaisten terveys s155
17CHDWhole population35-64Malecases /100000py86.6465535-64v miesten 1. infarktin insidenssi 354/100000 1991-4. Aromaa ym Suomalaisten terveys s155. This is a duplicate of the previous row to match more ERFs
18Nasal cancer morbidityWhole population20-64cases /100000py0.65135Age boundaries are assumed without original data
19COPD mortalityWhole population15-64cases /100000py20.9661127
20Asthma morbidity2Whole population15-64Malecases /100000py58.0443120
21Asthma morbidity2Whole population15-64Femalecases /100000py78.9544244
22Cancer morbidityWhole populationcases /100000py202.40810880
23Cancer lifetime probabilityWhole populationprobability1This is used with absolute risk functions such as CSF to get rid of the parameter relative to background
24All skin cancers and basalioma morbidityWhole populationcases /100000py163.2858777
25Skin cancer morbidityWhole populationcases /100000py37.32005
26Melanoma morbidityWhole populationcases /100000py16.855906
27Carcinoma spinocellulare morbidityWhole populationcases /100000py20.4451099
28Basalioma morbidityWhole populationcases /100000py125.9846772
29Leukemia morbidityWhole populationcases /100000py10.027539Year 2010, cancer register

DALY/a thousands WHO 2002 EU-27 OECD, 22 Population, millions Trachea, bronchus & lung cancers Cardio-vascular diseases Trachea, bronchus & lung cancers Cardio-vascular diseases


DALY in Europe WHO 2002(-)
ObsCountryEU-27OECD22PopulationTrachea bronchus & lung cancers DALY/a thousandsCardio-vascular diseases DALY/a thousands Trachea bronchus & lung cancers DALY/a/100 000Cardio-vascular diseases DALY/a/100 000(sub)urban 2009-11 PM2.5 mean μg/m3Description
1Austria 1 1 8.4 27 189 321 2244 18.9
2Belgium 1 1 11.0 55 209 499 1898 17.6
3Bulgaria 1 0 7.3 32 526 435 7157 31.4
4Cyprus 1 0 0.9 1 21 117 2467 21.3
5Czech Republic 1 1 10.5 52 352 495 3352 23.0
6Denmark 1 1 5.6 26 114 461 2021 14.0
7Estonia 1 0 1.3 5 65 373 4852 19.5
8Finland 1 1 5.4 14 122 260 2266 7.3
9France 1 1 65.2 243 857 373 1315 17.9
10Germany 1 1 81.8 354 2070 433 2530 16.8
11Greece 1 1 10.8 49 341 453 3153 19.4
12Hungary 1 1 10.0 76 410 762 4113 22.6
13Ireland 1 1 4.5 12 77 265 1703 10.8
14Italy 1 1 60.7 238 1222 392 2013 21.5
15Latvia 1 0 2.1 10 130 486 6318 15.1
16Lithuania 1 0 3.0 13 138 429 4555 12.7
17Luxembourg 1 1 0.5 2 9 381 1715 15.9
18Malta 1 0 0.4 1 8 240 1920 13.6
19Netherlands 1 1 16.7 73 307 437 1839 17.0
20Norway 0 1 5.0 15 87 303 1756
21Poland 1 1 38.5 215 1226 558 3181 28.2
22Portugal 1 1 10.6 29 263 275 2491 8.6
23Romania 1 0 21.4 92 1094 430 5118 18.1
24Slovakia 1 1 5.4 19 175 352 3242 25.0
25Slovenia 1 0 2.1 9 51 439 2485 21.5
26Spain 1 1 46.2 155 670 336 1450 12.5
27Sweden 1 1 9.4 23 187 244 1981 8.0
28Switzerland 0 1 7.9 25 116 316 1465
29Turkey 0 1 74.8 115 2082 154 2785
30United Kingdom 1 1 62.8 230 1297 366 2065 13.3
31All of the above 590.2 2210 14415 374 2442 17.7
32EU27 Total 502.6 2055 12130 409 2413 17.7
33OECD Europe total 553.1 2052 12447 371 2250 17.7

Calculations

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BoDt is an ovariable to calculate total burden of disease for selected endpoints based on IHME data.

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See also

  • OECD health data [1]

Keywords

References


Related files

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