Difference between revisions of "Mortality in Europe"
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(Created page with '{{variable|moderator=|stub=Yes}} '''Boxes with dashed borders''' contain brief guidance text for completing the entries for new variables. == Scope == This includes a verbal…') |
(updated based on Eurostat) |
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| − | {{variable|moderator=|stub=Yes}} | + | {{variable|moderator= Virpi Kollanus|stub=Yes}} |
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| − | == | + | == Question == |
| − | + | What is the annual mortality rate in Europe per country and ICD10 category? | |
| − | |||
| − | |||
| − | == | + | '''Indices |
| + | *Country (Geo) | ||
| + | *Cause of death (Icd10) | ||
| + | *Age | ||
| + | *Sex | ||
| + | *Year | ||
| + | *Unit of measurement (Unit) RT means standardised mortality rate. | ||
| + | |||
| + | == Answer == | ||
| + | |||
| + | Example graphs from the data. [http://en.opasnet.org/en-opwiki/index.php?title=Special:RTools&id=FGBT3vMEcUavCJLu] | ||
| + | |||
| + | <rcode graphics=1> | ||
| + | library(OpasnetUtils) | ||
| + | library(ggplot2) | ||
| + | |||
| + | d <- opbase.data("Op_en4635", subset = "d", include = list(Icd10 = c("W65-W74", "X60-X84_Y870", "X85-Y09_Y871"))) | ||
| + | d$Year <- as.factor(d$Year) | ||
| + | d$Result <- as.numeric(as.character(d$Result)) | ||
| + | |||
| + | ggplot(subset(d, Icd10 == "W65-W74"), aes(y = Result, x = Geo, colour = Year))+ geom_point() + labs(title="Drowning per 100000 py") | ||
| + | ggplot(subset(d, Icd10 == "X60-X84_Y870"), aes(y = Result, x = Geo, colour = Year))+ geom_point() + labs(title="Self-harm per 100000 py") | ||
| + | ggplot(subset(d, Icd10 == "X85-Y09_Y871"), aes(y = Result, x = Geo, colour = Year))+ geom_point() + labs(title="Assault per 100000 py") | ||
| + | |||
| + | </rcode> | ||
| + | |||
| + | == Rationale == | ||
=== Data === | === Data === | ||
| − | + | The main data comes from [http://ec.europa.eu/eurostat/data/database Eurostat] from where the file "Causes of death - standardised death rate per 100 000 inhabitants - annual Data (hlth_cd_asdr)" was downloaded on 12th Jan 2015 and stored in Opasnet base. | |
| − | |||
| − | |||
| − | |||
| − | + | '''Other data: | |
| − | + | [http://www.who.int/healthinfo/morttables/en/index.html WHO Mortality Database] | |
| − | |||
| − | |||
=== Unit === | === Unit === | ||
| − | + | * Standardised incidence (1/100000py) | |
| + | * Deaths/year | ||
| + | |||
| + | === Calculations === | ||
| − | + | This code was used to manage the data before using the OpasnetBaseImport. | |
| − | + | {{hidden| | |
| − | + | <pre> | |
| + | library(reshape2) | ||
| + | library(OpasnetUtils) | ||
| − | == Result == | + | d <- read.table("//cesium/jtue$/_Downloads/hlth_cd_asdr.tsv", sep = "\t") |
| + | d1 <- strsplit(as.character(d$V1), split = ",") | ||
| + | d1 <- as.data.frame(t(array(unlist(d1), dim = c(length(d1[[1]]), length(d1))))) | ||
| + | colnames(d1) <- c("Unit", "Sex", "Age", "Icd10", "Geo") | ||
| + | colnames(d) <- c("Remove", 2010:1994) | ||
| + | d <- cbind(d1, d) | ||
| + | d$Remove <- NULL | ||
| + | d <- d[2:nrow(d) , ] | ||
| + | d <- melt(d, measure.vars = 6:ncol(d), variable.name = "Year", value.name = "Result") | ||
| + | d$Result <- gsub("[a-z]", "", d$Result) | ||
| + | d$Result[grepl(":", d$Result)] <- NA | ||
| + | d$Result <- as.numeric(d$Result) | ||
| + | d <- dropall(d) | ||
| + | write.csv(d, file = "//cesium/jtue$/_Documents/MortInEurope.csv", row.names = FALSE) | ||
| − | + | </pre> | |
| + | }} | ||
==See also== | ==See also== | ||
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==References== | ==References== | ||
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| − | |||
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<references/> | <references/> | ||
| + | [[Category:Data]] | ||
Latest revision as of 12:12, 12 January 2015
This page is a variable.
The page identifier is Op_en4635 |
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| Moderator:Virpi Kollanus (see all) |
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Question
What is the annual mortality rate in Europe per country and ICD10 category?
Indices
- Country (Geo)
- Cause of death (Icd10)
- Age
- Sex
- Year
- Unit of measurement (Unit) RT means standardised mortality rate.
Answer
Example graphs from the data. [1]
Rationale
Data
The main data comes from Eurostat from where the file "Causes of death - standardised death rate per 100 000 inhabitants - annual Data (hlth_cd_asdr)" was downloaded on 12th Jan 2015 and stored in Opasnet base.
Other data:
Unit
- Standardised incidence (1/100000py)
- Deaths/year
Calculations
This code was used to manage the data before using the OpasnetBaseImport.
| Show details |
|---|
library(reshape2)
library(OpasnetUtils)
d <- read.table("//cesium/jtue$/_Downloads/hlth_cd_asdr.tsv", sep = "\t")
d1 <- strsplit(as.character(d$V1), split = ",")
d1 <- as.data.frame(t(array(unlist(d1), dim = c(length(d1[[1]]), length(d1)))))
colnames(d1) <- c("Unit", "Sex", "Age", "Icd10", "Geo")
colnames(d) <- c("Remove", 2010:1994)
d <- cbind(d1, d)
d$Remove <- NULL
d <- d[2:nrow(d) , ]
d <- melt(d, measure.vars = 6:ncol(d), variable.name = "Year", value.name = "Result")
d$Result <- gsub("[a-z]", "", d$Result)
d$Result[grepl(":", d$Result)] <- NA
d$Result <- as.numeric(d$Result)
d <- dropall(d)
write.csv(d, file = "//cesium/jtue$/_Documents/MortInEurope.csv", row.names = FALSE)
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