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 |
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,])