swash (version 1.1.0)

COVID19Cases_geoRegion: 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.

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