| 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,])