COVID-19 data for total age/sex in Norway (2020 border).
Source:R/data_documentation.R
total_b2020.RdThis dataset contains COVID-19 data in Norway, from 2020 week 8 (2020-02-23) to 2022 week 45 (2022-11-13)
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(respiranor::total_b2020[1,])
#> granularity_time granularity_geo country_iso3 location_code border age
#> 1: date county nor county_nor03 2020 total
#> sex isoyear isoweek isoyearweek season seasonweek calyear calmonth
#> 1: total 2022 45 2022-45 2022/2023 16 2022 11
#> calyearmonth date cases_by_testdate_n
#> 1: 2022-M11 2022-11-13 NA
#> cases_by_testdate_vs_pop_pr100000 cases_by_regdate_n
#> 1: NA 15
#> cases_by_regdate_vs_pop_pr100000 icu_admissions_n
#> 1: 2.1 NA
#> hospital_admissions_main_cause_n testevents_neg_n testevents_pos_n
#> 1: NA NA NA
#> testevents_all_n testevents_pos_vs_all_pr100 vax_dose_1_by_vaxdate_n
#> 1: NA NA NA
#> vax_dose_2_by_vaxdate_n vax_dose_3_by_vaxdate_n vax_dose_4_by_vaxdate_n
#> 1: NA NA NA
#> vax_dose_1_by_vaxdate_sum0_999999_n vax_dose_2_by_vaxdate_sum0_999999_n
#> 1: NA NA
#> vax_dose_3_by_vaxdate_sum0_999999_n vax_dose_4_by_vaxdate_sum0_999999_n
#> 1: NA NA
#> vax_dose_1_by_regdate_n vax_dose_2_by_regdate_n vax_dose_3_by_regdate_n
#> 1: 0 1 18
#> vax_dose_4_by_regdate_n pop_jan1_n location_name
#> 1: 132 699827 Oslo
#> location_name_description_nb
#> 1: Oslo (fylke)