Training health impact

This page is a knowledge crystal of subtype variable. The page identifier is Op_en5675
Moderator:Jouni (see all)
This page is a stub. You may improve it into a full page.
Upload data {{#opasnet_base_link:Op_en5675}}

Question

What is the health impact in the Training assessment?

Answer

What is the size of the population: + Show code- Hide code cat("Initiation successful. Now starting the model.\n") out <- make.ovariable( name = "health.impact", data = fetch("Op_en5675"), formula = formula.Op_en5675, dependencies = dependencies.Op_en5675 ) print(out) plot(out)

Rationale

Data

Training health impact: Difference between revisions(-)

Obs	Year	Unit	Result	Description
1	2012	cases/year	10 - 100
2	2020	cases/year	15 - 150

Formula

+ Show code- Hide code erf <- data.frame(Unit = "RR per ug/m3", Result = 1.5) background <- 100 / 100000 # cases per 100000 person-years dependencies.Op_en5675 <- data.frame( Name = "", Identifier = c("Op_en5674", "", "", ""), Direction = "wide", Result = c("exposure", "erf", "population", "background") ) formula.Op_en5675 <- function(x) { exposure <- make.ovariable(fetch(x[1, "Identifier"]), name = "exposure") erf <- make.ovariable(fetch(x[2, "Result"]), name = "erf") population <- make.ovariable( data = fetch(x[3, "Result"]), name = "population", formula = function(x) {return(interpret("50000-150000"))}, dependencies = data.frame(Result = 0) ) background <- make.ovariable(fetch(x[4, "Result"]), name = "background") cases <- population * background * exp(exposure * log(erf)) return(cases) }

Related files

<mfanonymousfilelist></mfanonymousfilelist>