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data_documentation.R
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data_documentation.R
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#' COVID-19 data for total age/sex in Norway (2020 border).
#'
#' This dataset contains COVID-19 data in Norway,
#' from 2020 week 8 (2020-02-23) to 2022 week 45 (2022-11-13)
#'
#' @format
#' \describe{
#' \item{granularity_time}{Time granularity: day, isoyearweek}
#' \item{granularity_geo}{Geographical granularity: nation, county, municip}
#' \item{location_code}{Location code}
#' \item{border}{Redistricting border: 2020}
#' \item{age}{Age category: total}
#' \item{sex}{Sex category: total}
#' \item{isoyear}{Isoyear}
#' \item{isoweek}{Isoweek}
#' \item{isoyearweek}{Isoyearweek}
#' \item{season}{Season}
#' \item{seasonweek}{Season week}
#' \item{calyear}{Calendar year}
#' \item{calmonth}{Calendar month}
#' \item{date}{Date}
#' \item{cases_by_testdate_n}{Number of cases by date of PCR test}
#' \item{cases_by_testdate_vs_pop_pr100000}{Number of cases by date of PCR test per 100.000 population}
#' \item{cases_by_regdate_n}{Number of cases by date of registration in MSIS}
#' \item{cases_by_regdate_vs_pop_pr100000}{Number of cases by date of registration in MSIS per 100.000 population}
#' \item{icu_admissions_n}{Number of ICU admissions}
#' \item{hospital_admissions_main_cause_n}{Number of hospital admissions with COVID-19 as the main cause}
#' \item{testevents_neg_n}{Number of testing events (all tests of one person within a 7 day period are considered to be one testing event) that were negative}
#' \item{testevents_pos_n}{Number of testing events (all tests of one person within a 7 day period are considered to be one testing event) that were positive}
#' \item{testevents_all_n}{Number of testing events (all tests of one person within a 7 day period are considered to be one testing event)}
#' \item{testevents_pos_vs_all_pr100}{Percent of testing events that were positive}
#' \item{vax_dose_1_by_vaxdate_n}{Number of dose 1 vaccines delivered by date of vaccination}
#' \item{vax_dose_2_by_vaxdate_n}{Number of dose 2 vaccines delivered by date of vaccination}
#' \item{vax_dose_3_by_vaxdate_n}{Number of dose 3 vaccines delivered by date of vaccination}
#' \item{vax_dose_4_by_vaxdate_n}{Number of dose 4 vaccines delivered by date of vaccination}
#' \item{vax_dose_1_by_vaxdate_sum0_999999_n}{Cumulative number of dose 1 vaccines delivered by date of vaccination}
#' \item{vax_dose_2_by_vaxdate_sum0_999999_n}{Cumulative number of dose 2 vaccines delivered by date of vaccination}
#' \item{vax_dose_3_by_vaxdate_sum0_999999_n}{Cumulative number of dose 3 vaccines delivered by date of vaccination}
#' \item{vax_dose_4_by_vaxdate_sum0_999999_n}{Cumulative number of dose 4 vaccines delivered by date of vaccination}
#' \item{vax_dose_1_by_regdate_n}{Number of dose 1 vaccines delivered by date of registration in SYSVAK}
#' \item{vax_dose_2_by_regdate_n}{Number of dose 2 vaccines delivered by date of registration in SYSVAK}
#' \item{vax_dose_3_by_regdate_n}{Number of dose 3 vaccines delivered by date of registration in SYSVAK}
#' \item{vax_dose_4_by_regdate_n}{Number of dose 4 vaccines delivered by date of registration in SYSVAK}
#' \item{pop_jan1_n}{Population as per first of January}
#' \item{location_name}{Location name (may not be unique)}
#' \item{location_name_description_nb}{Location name description (is unique)}
#' }
#' @examples
#' print(respiranor::total_b2020[1,])
#'
"total_b2020"