Title: Public COVID-19 Data for Norway
Version: 2023.05.18
Description: Publicly available COVID-19 data for Norway cleaned and merged into one dataset, including PCR confirmed cases, tests, hospitalisation and vaccination.
Depends: R (≥ 3.5.0)
License: MIT + file LICENSE
URL: https://www.csids.no/covidnor/, https://github.com/csids/covidnor
BugReports: https://github.com/csids/covidnor/issues
Encoding: UTF-8
LazyData: true
Imports: data.table
Suggests: testthat, knitr, rmarkdown, rstudioapi, glue, magrittr, ggplot2
RoxygenNote: 7.2.3
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-05-25 14:42:44 UTC; andrea
Author: Chi Zhang ORCID iD [aut, cre], Richard Aubrey White ORCID iD [aut], CSIDS [cph], Folkehelseinstituttet [ctb]
Maintainer: Chi Zhang <andreachizhang@yahoo.com>
Repository: CRAN
Date/Publication: 2023-05-26 08:00:08 UTC

COVID-19 data for total age/sex in Norway (2020 border).

Description

This dataset contains COVID-19 data in Norway, from 2020 week 8 (2020-02-23) to 2022 week 45 (2022-11-13)

Usage

total_b2020

Format

granularity_time

Time granularity: day, isoyearweek

granularity_geo

Geographical granularity: nation, county, municip

location_code

Location code

border

Redistricting border: 2020

age

Age category: total

sex

Sex category: total

isoyear

Isoyear

isoweek

Isoweek

isoyearweek

Isoyearweek

season

Season

seasonweek

Season week

calyear

Calendar year

calmonth

Calendar month

date

Date

cases_by_testdate_n

Number of cases by date of PCR test

cases_by_testdate_vs_pop_pr100000

Number of cases by date of PCR test per 100.000 population

cases_by_regdate_n

Number of cases by date of registration in MSIS

cases_by_regdate_vs_pop_pr100000

Number of cases by date of registration in MSIS per 100.000 population

icu_admissions_n

Number of ICU admissions

hospital_admissions_main_cause_n

Number of hospital admissions with COVID-19 as the main cause

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

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

testevents_all_n

Number of testing events (all tests of one person within a 7 day period are considered to be one testing event)

testevents_pos_vs_all_pr100

Percent of testing events that were positive

vax_dose_1_by_vaxdate_n

Number of dose 1 vaccines delivered by date of vaccination

vax_dose_2_by_vaxdate_n

Number of dose 2 vaccines delivered by date of vaccination

vax_dose_3_by_vaxdate_n

Number of dose 3 vaccines delivered by date of vaccination

vax_dose_4_by_vaxdate_n

Number of dose 4 vaccines delivered by date of vaccination

vax_dose_1_by_vaxdate_sum0_999999_n

Cumulative number of dose 1 vaccines delivered by date of vaccination

vax_dose_2_by_vaxdate_sum0_999999_n

Cumulative number of dose 2 vaccines delivered by date of vaccination

vax_dose_3_by_vaxdate_sum0_999999_n

Cumulative number of dose 3 vaccines delivered by date of vaccination

vax_dose_4_by_vaxdate_sum0_999999_n

Cumulative number of dose 4 vaccines delivered by date of vaccination

vax_dose_1_by_regdate_n

Number of dose 1 vaccines delivered by date of registration in SYSVAK

vax_dose_2_by_regdate_n

Number of dose 2 vaccines delivered by date of registration in SYSVAK

vax_dose_3_by_regdate_n

Number of dose 3 vaccines delivered by date of registration in SYSVAK

vax_dose_4_by_regdate_n

Number of dose 4 vaccines delivered by date of registration in SYSVAK

pop_jan1_n

Population as per first of January

location_name

Location name (may not be unique)

location_name_description_nb

Location name description (is unique)

Examples

print(covidnor::total_b2020[1,])