# Package -----------------------------------------------------------------
library(covid.ecdc.forecasts)
library(data.table)
library(EpiNow2)
library(here)
library(purrr)
# Dates -------------------------------------------------------------------
target_date <- get_forecast_date(dir = here("data-raw"))
target_variables <- c(cases = "case", hospitalizations = "hosp", deaths = "death")
# Locations ---------------------------------------------------------------
base_url <- "https://raw.githubusercontent.com/epiforecasts/"
locations <- fread(paste0(
base_url,
"covid19-forecast-hub-europe/main/data-locations/locations_eu.csv")
)
# Get forecasts -----------------------------------------------------------
forecasts <- purrr::map(c("cases", "hospitalizations", "deaths"), \(x) {
suppressWarnings(res <- get_regional_results(
results_dir = here("rt-forecast", "data", "samples", x),
date = target_date, forecast = TRUE,
samples = TRUE)$estimated_reported_cases$samples)
format_forecast(res[, value := cases],
locations = locations,
forecast_date = target_date,
submission_date = target_date,
CrI_samples = 0.9,
frequency = "weekly",
target_value = target_variables[x])
}) |>
data.table::rbindlist()
forecasts[, target_end_date := as.character(target_end_date)]
# Save forecasts ----------------------------------------------------------
rt_folder <- here("submissions", "rt-forecasts", target_date)
check_dir(rt_folder)
fwrite(forecasts,
file.path(rt_folder, paste0(target_date, "-epiforecasts-EpiNow2.csv")))
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