##############################################################
## R0 functions for calculating distributions for each county
## Spencer Fox
## January 18th, 2017
##############################################################
rnot_calc_dist <- function(mosq_abundance, gdp, temperature,
a, b, c.r, mort.fun.list, eip.fun.list, scam.est.list){
# Function that returns the full distribution of R0s for n county data provided
require(scam)
index = seq(1:length(scam.est.list))
# Mortality function actually gives lifespan, so take 1 / lifespan to get mortality
# calculates distribution of mortality rates
g <- 1 / sapply(index, FUN = function(x) {
mort.fun.list[[x]](temperature)
})
# calculates distribution of eip lengths
e <- sapply(index, FUN = function(x) {
eip.fun.list[[x]](temperature)
})
# calculates distribution of gdp scaling multipliers
gdp_scaling <- unname(sapply(index, FUN = function(x) {
predict(scam.est.list[[x]], newdata=data.frame(econ=log(gdp)))
}))
# calculates and returns distributions of rnott
as.data.frame(exp(gdp_scaling) * mosq_abundance * a ^ 2 * b * c.r * exp(-g * e) / g)
}
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