Example subpopulation level retrospective hospital admissions dataset

A dataset containing the simulated daily hospital admissions (labeled here as daily_hosp_admits) by date of admission (date) in each subpopulation observed retrospectively. Additional columns that are required are the population size of the population contributing to the hospital admissions. In this instance, the subpopulations here are each of the wastewater catchment areas plus an additional subpopulation for the portion of the population not captured by wastewater surveillance. The data generated are daily hospital admissions but they could be any other epidemiological count dataset e.g. cases.This data should contain hospital admissions retrospectively beyond the forecast date in order to evaluate the forecasts.

Usage

subpop_hosp_data_eval

Format

An object of class tbl_df (inherits from tbl, data.frame) with 635 rows and 4 columns.

Source

vignette_data.R

Details

This data is generated via the default values in the generate_simulated_data() function. They represent the bare minimumum required fields needed to pass to the model, and we recommend that users try to format their own data to match this format.

The variables are as follows:

date

Date the hospital admissions occurred, formatted in ISO8601 standards as YYYY-MM-DD

subpop_name

A string indicating the subpopulation the hospital admissions corresponds to. This is either a wastewater site, or the remainder of the population

daily_hosp_admits_for_eval

The number of individuals admitted to the hospital on that date, available as of the forecast date

subpop_pop

The number of people contributing to the daily hospital admissions in each subpopulation