#' Croatian Institute of Public Health
#'
#' Data source for: Croatia
#'
#' @param level 1, 2
#'
#' @section Level 1:
#' - confirmed cases
#' - deaths
#' - recovered
#'
#' @section Level 2:
#' - confirmed cases
#' - deaths
#' - recovered
#'
#' @source https://www.koronavirus.hr/otvoreni-strojno-citljivi-podaci/526
#'
#' @keywords internal
#'
koronavirus.hr <- function(level) {
if(!level %in% 1:2) return(NULL)
# download
url <- 'https://www.koronavirus.hr/json/?action=po_danima_zupanijama'
x <- jsonlite::fromJSON(url, flatten=TRUE)
# make longer along regions (zupanija)
x <- bind_rows(apply(x, 1, function(row) {
cbind(date = row$Datum, row$PodaciDetaljno)
}))
# format
x <- map_data(x, c(
"date" = "date",
"broj_zarazenih" = "confirmed",
"broj_umrlih" = "deaths",
"broj_aktivni" = "active",
"Zupanija" = "region"
))
# recovered
x <- x %>%
mutate(recovered = confirmed - deaths - active)
if(level==1){
# compute total counts
x <- x %>%
group_by(date) %>%
summarise(across(c("confirmed", "deaths", "recovered"), sum))
}
if(level==2){
# sanitize regions
x$region <- trimws(x$region)
}
# date
x$date <- as.Date(x$date, "%Y-%m-%d %H:%M")
return(x)
}
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