Asthma prevalence due to building dampness in Europe: Difference between revisions
Jump to navigation
Jump to search
m (→Formula) |
m (→Formula) |
||
Line 47: | Line 47: | ||
dampxpopxasthma <- IntArray(dampxpop, asthmaarray, "Casesper1000") | dampxpopxasthma <- IntArray(dampxpop, asthmaarray, "Casesper1000") | ||
final <- data.frame(dampxpopxasthma[,c(2,3,4,6,7,8)], Result=(dampxpopxasthma[,"Result"] * dampxpopxasthma[,"Population"] * (erf - 1) * | final <- data.frame(dampxpopxasthma[,c(2,3,4,6,7,8)], Result=(dampxpopxasthma[,"Result"] * dampxpopxasthma[,"Population"] * (erf - 1) * | ||
dampxpopxasthma[,"Casesper1000"] / 1000)) | dampxpopxasthma[,"Casesper1000"] / 1000))</nowiki> | ||
</nowiki> | |||
== Result == | == Result == |
Revision as of 08:53, 9 December 2010
Moderator:Teemu R (see all) |
This page is a stub. You may improve it into a full page. |
Upload data
|
Scope
Europe in 2010, 2020, 2030, 2050.
Definition
Data
Description of the data used for obtaining the value of the variable (e.g. measurement data; mathematical method and its parameters).
Please include references (preferably using the <ref> </ref> tags) and links to original data, as appropriate.
Dependencies
- heande:Moisture damage
- Population of Europe
- Asthma incidence from the WHO: European hospital morbidity database (HMDB)
- ERF of indoor dampness on respiratory health effects
Unit
Unit in which the result is expressed.
Formula
- Asthma prevalence is estimated by summing in-patients and day-cases from the hospital morbidity database.
- Wheeze ERF used, as it approximately corresponds to the type of cases likely to be registered by the database.
dampness <- op_baseGetData("opasnet_base", "Erac2988") #Current version is bugged pop <- op_baseGetData("opasnet_base", "Op_en4691", include = 1367, exclude = c(1435, 1436)) countries <- c("Austria", "Belgium", "Bulgaria", "Switzerland", "Cyprus", "Czech Republic", "Germany", "Denmark", "Estonia", "Spain", "Finland", "France", "Greece", "Hungary", "Ireland", "Iceland", "Italy", "Lithuania", "Luxembourg", "Latvia", "Malta", "Netherlands", "Norway", "Poland", "Portugal", "Romania", "Sweden", "Slowenia", "Slovakia", "United Kingdom") levels(pop[,"CountryID"]) <- countries colnames(pop)[4] <- "Country" colnames(pop)[8] <- "Population" asthma <- read.csv("C:/Documents and Settings/tris/My Documents/Asthma cases hmdb.csv", sep = ";") #File constructed from hmdb data asthma <- data.frame(Country=asthma[1:26,1], Casesper1000=(asthma[1:26,2]+asthma[1:26,3])) erf <- 1.50 poparray <- DataframeToArray(pop, "Population") dampxpop <- IntArray(dampness, poparray, "Population") asthmaarray <- DataframeToArray(asthma, "Casesper1000") dampxpopxasthma <- IntArray(dampxpop, asthmaarray, "Casesper1000") final <- data.frame(dampxpopxasthma[,c(2,3,4,6,7,8)], Result=(dampxpopxasthma[,"Result"] * dampxpopxasthma[,"Population"] * (erf - 1) * dampxpopxasthma[,"Casesper1000"] / 1000))
Result
{{#opasnet_base_link:Op_en4723}}
See also
Keywords
Asthma, indoor air, dampness, Europe
References
Related files
<mfanonymousfilelist></mfanonymousfilelist>