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library("readr") | |
library("dplyr") | |
df <- readr::read_csv("https://raw.githubusercontent.com/epiforecasts/inc2prev/master/outputs/estimates_age_ab.csv") ## nolint | |
td <- df |> | |
dplyr::filter(name == "infections") |> | |
dplyr::select(t_index, date) |> | |
dplyr::distinct() |> | |
dplyr::arrange(t_index) | |
susc <- df |> | |
dplyr::filter(name == "gen_dab") |> | |
dplyr::select(t_index, age_group = variable, mean, q5, q25, q75, q95) |> | |
dplyr::left_join(td, by = "t_index") |> | |
dplyr::mutate( | |
age_group = dplyr::recode(age_group, `2-10` = "02-10") | |
) |> | |
dplyr::arrange(date, age_group) | |
readr::write_csv(susc, "age_susceptibility_covid.csv") |
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