respiranor cleans and merges the publicly available datasets on COVID-19 in Norway into analysis-ready datasets.
The following data are provided in this package:
- case numbers
- ICU/hospital admissions
- testing
- vaccinations
The overall data is stored as total
, and has 419k rows. More information on what variables and specifications are available, and how to extract specifications you want can be found here.
Getting started
Instead of working directly on total
data, you might want to use a certain combination of time, location, outcome. We recommend using the data.table syntax for data filtering and subsetting.
For example, to get weekly Covid cases and hospital admissions as main cause for Norway:
# load total data (419k rows)
totaldata <- respiranor::total_b2020
# get weekly cases (confirmed) and hospitalisation for Norway
case_hosp <- totaldata[granularity_time == 'isoyearweek' &
granularity_geo == 'nation',
.(date,
location_name,
cases = cases_by_testdate_n,
hospital_adm = hospital_admissions_main_cause_n)]
case_hosp
#> date location_name cases hospital_adm
#> 1: 2022-11-13 Norge 534 60
#> 2: 2022-11-06 Norge 876 174
#> 3: 2022-10-30 Norge 780 151
#> 4: 2022-10-23 Norge 561 120
#> 5: 2022-10-16 Norge 499 117
#> ---
#> 139: 2020-03-22 Norge 1438 188
#> 140: 2020-03-15 Norge 1215 50
#> 141: 2020-03-08 Norge 217 2
#> 142: 2020-03-01 Norge 30 0
#> 143: 2020-02-23 Norge 1 0
For more details, please refer to the vignette and data documentation.
Several of CSIDS packages (csstyle, csalert) make use of respiranor
data. You can read the following documentation to find out more,
-
Epicurves in
cstyle
, -
Short term trend for COVID cases in
csalert
.
Background
This package curates publicly available COVID-19 data in Norway between 2020-04-24 to 2022-11-14. The original data repository (surveillance_data
) which automatically published machine-friendly COVID-19 data updates on weekdays at 13:15 can be accessed here. The original repository was archived by Sykdomspulsen team at the Norwegian Institute of Public Health due to lack of funding.