Assessment of building policies' effect on dampness and asthma in Europe

This page is a assessment. The page identifier is Op_en4731
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Scope

Purpose

What are the effects of different building policies on dampness and asthma prevalence in Europe?

Boundaries etc.

Boundaries, scenarios, intended users, and participants are the same as in the Mega case study.

Definition

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A causal diagram of health effects of dampness in Europe.

Decision variables

• Building policies in Europe

Other variables

• Population of Europe by Country
• Asthma prevalence
• heande:HI:Air exchange rate for European residences
• heande:Moisture damage
• ERF of indoor dampness on respiratory health effects

Indicators

• Asthma incidence increase due to building dampness in Europe

R code for detailed analysis

• The code calculates the difference in number of asthmas due to dampness, between policies being successful or not and compared to the initial year of 2010.

BP <- op_baseGetData("opasnet_base", "Op_en4068")
asthma <- op_baseGetData("opasnet_base", "Op_en4723", series_id = 929)
BParray <- DataframeToArray(BP)
asthmaxBP <- IntArray(asthma, BParray, "Successful")
array <- DataframeToArray(asthmaxBP)
final <- apply(array, c(6,8,7,3), mean, na.rm=TRUE)
final <- apply(final, c(1,2,3), sum, na.rm=TRUE)
final <- final[,"1",]-final[,"0",]
final <- final[,]-final[rep(1,4),]
barplot(final, beside=TRUE, legend.text=c("2010","2020","2030","2050"))

Result

Asthma incidence increase due to building dampness in Europe: Show results

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Keywords

Dampness, indoor air, asthma, Europe