| 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,])