COVID19Cases_geoRegion: Switzerland Daily COVID-19 cases by region
In swash: Swash-Backwash Model for the Single Epidemic Wave

COVID19Cases_geoRegion

R Documentation

Switzerland Daily COVID-19 cases by region

Description

A dataset containing COVID-19 cases by region (NUTS 3 = cantons) and time periods (days) for Switzerland (Source: Federal Office of Public Health FOPH).

Usage

data(COVID19Cases_geoRegion)

Format

A data.frame with multiple columns:

geoRegion: (character) Region for which the data was collected.
datum: (Date) Date of record.
entries: (integer) Number of reported cases on this date.
sumTotal: (integer) Cumulative case numbers.
timeframe_14d: (logical) Indicates whether the time period covers the last 14 days.
timeframe_all: (logical) Indicates whether the time period covers all previous data.
offset_last7d: (integer) Offset of the last 7 days.
sumTotal_last7d: (integer) Cumulative case numbers of the last 7 days.
offset_last14d: (integer) Offset of the last 14 days.
sumTotal_last14d: (integer) Cumulative case numbers of the last 14 days.
offset_last28d: (integer) Offset of the last 28 days.
sumTotal_last28d: (integer) Cumulative case numbers of the last 28 days.
sum7d: (numeric) Sum of the last 7 days.
sum14d: (numeric) Sum of the last 14 days.
mean7d: (numeric) Average of the last 7 days.
mean14d: (numeric) Average of the last 14 days.
entries_diff_last_age: (integer) Difference from the last age group.
pop: (integer) Population of the region.
inz_entries: (numeric) Incidence of the entries.
inzsumTotal: (numeric) Incidence of cumulative cases.
inzmean7d: (numeric) Incidence of the 7-day average.
inzmean14d: (numeric) Incidence of the 14-day average.
inzsumTotal_last7d: (numeric) Incidence of cumulative cases in the last 7 days.
inzsumTotal_last14d: (numeric) Incidence of cumulative cases in the last 14 days.
inzsumTotal_last28d: (numeric) Incidence of cumulative cases in the last 28 days.
inzsum7d: (numeric) Incidence of the last 7 days.
inzsum14d: (numeric) Incidence of the last 14 days.
sumdelta7d: (numeric) Difference in sums of the last 7 days.
inzdelta7d: (numeric) Difference in incidence of the last 7 days.
type: (character) Type of recorded data (e.g., COVID-19 cases).
type_variant: (character) Variant of the data type.
version: (character) Version of the data collection.
datum_unit: (character) Unit of date specification (e.g., day).
entries_letzter_stand: (integer) Last known count of entries.
entries_neu_gemeldet: (integer) Newly reported entries.
entries_diff_last: (integer) Difference in last entries.

Details

The data is included as it was published in ??. Note that the reporting date equals the date of SARS-CoV-2 testing.

Source

Federal Office of Public Health FOPH (2023) COVID-19 Dashboard Source Data. https://www.covid19.admin.ch/api/data/documentation (retrieved 2023-06-28)

Examples

data(COVID19Cases_geoRegion)
# Get SWISS COVID19 cases at NUTS 3 level

COVID19Cases_geoRegion <- 
  COVID19Cases_geoRegion[!COVID19Cases_geoRegion$geoRegion %in% c("CH", "CHFL"),]
# Exclude CH = Switzerland total and CHFL = Switzerland and Liechtenstein total

COVID19Cases_geoRegion <- 
  COVID19Cases_geoRegion[COVID19Cases_geoRegion$datum <= "2020-05-31",]
# Extract first COVID-19 wave

COVID19Cases_geoRegion_balanced <- 
  is_balanced(
  data = COVID19Cases_geoRegion,
  col_cases = "entries",
  col_date = "datum",
  col_region = "geoRegion"
)
# Test whether "COVID19Cases_geoRegion" is balanced panel data 

COVID19Cases_geoRegion_balanced$data_balanced
# Balanced? TRUE or FALSE

swash documentation built on April 12, 2025, 2:23 a.m.