Disease risk

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Question

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

Answer

+ Show code- Hide code library(OpasnetUtils) # A package with Opasnet functionalities library(xtable) # A package with table formats library(ggplot2) # A package with fancy graph formats objects.latest("Op_en5917", "initiate") # Get the latest ovariables from code calculations on page Op_en5917. diseaseRisk <- EvalOutput(diseaseRisk) oprint(summary(diseaseRisk)) ggplot(diseaseRisk@output, # Show a bar chart aes(x = Disease, y = diseaseRiskResult, fill = Response.metric)) + geom_bar(position="dodge") + theme_grey(base_size = 24) + theme(axis.text.x = element_text(angle = 90, hjust = 1)) + scale_y_log10() # limits = c(1, 1000000))

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

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.

Disease risk: Difference between revisions(# /a)

Obs	Trait	Population	Age	Sex	Response metric	Unit	Result	Description
1	Lung cancer	Whole population			Morbidity	cases /a	2276	Year 2010 cancer register
2	Cardiopulmonary	Whole population			Mortality	cases /a	23840
3	Total mortality	Whole population			Mortality	cases /a	50 568	2011 data, Tilastokeskus
4	Bladder cancer	Whole population			Morbidity	cases /a	898	Year 2010 cancer register
5	Myocardial infarction	Whole population			Morbidity	cases /a	24898
6	Ischaemic heart disease	Whole population			Mortality	cases /a	11887
7	CHD	Whole population			Mortality	cases /a	11887	This is a duplicate of the previous row to match more ERFs
8	Asthma	Whole population			Morbidity	cases /a	14561
9	Asthma	Whole population	>21		Morbidity	cases /a	9466
10	Asthma	Whole population	<14		Morbidity	cases /a	4366
11	Pulmonary infections	Whole population	<2		Morbidity	DALY	35
12	Otitis media	Whole population	<3		Morbidity	DALY	48
13	Lower respiratory symptoms	Whole population			Morbidity	cases /a	483000
14	Upper respiratory symptoms	Whole population			Morbidity	cases /a	928846
15	Ischaemic heart disease/myocardial infarction	Whole population	35-64	M	Morbidity	cases /a	4655	35-64v miesten 1. infarktin insidenssi 354/100000 1991-4. Aromaa ym Suomalaisten terveys s155
16	CHD	Whole population	35-64	M	Morbidity	cases /a	4655	35-64v 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
17	Nasal cancer	Whole population	20-64		Morbidity	cases /a	35	Age boundaries are assumed without original data
18	COPD	Whole population	15-64		Mortality	cases /a	1127
19	Asthma	Whole population	15-64	M	Morbidity	cases /a	3120
20	Asthma	Whole population	15-64	F	Morbidity	cases /a	4244
21	Cancer	Whole population			Morbidity	cases /a	10880
22	All skin cancers and basalioma	Whole population			Morbidity	cases /a	8777
23	Skin cancer	Whole population			Morbidity	cases /a	2005
24	Melanoma	Whole population			Morbidity	cases /a	906
25	Carcinoma spinocellulare	Whole population			Morbidity	cases /a	1099
26	Basalioma	Whole population			Morbidity	cases /a	6772
27	Leukemia	Whole population			Morbidity	cases /a	539	Year 2010, cancer register

Calculations

+ Show code- Hide code library(OpasnetUtils) d <- opbase.data("Op_en5917") d$Obs <- NULL colnames(d) <- gsub(" ", "_", colnames(d)) disincidence <- Ovariable("disincidence", data = d, save = TRUE) cat("Ovariable disincidence saved. page_indent = Op_en5917, code_name = initiate\n")

Related files

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