Weekly International COVID-19 cases and deaths, current as of Sunday, January 22, 2023

A dataset containing weekly national-level ECDC data on COVID-19

covnat_weekly

Format

A tibble with 4,966 rows and 11 columns

date

date in YYYY-MM-DD format

year_week

Year and week of reporting (character, YYYY-WW)

cname

Name of country (character)

pop

Country population from Eurostat or UN data

iso3

ISO3 country code (character)

cases

N reported COVID-19 cases for this week

deaths

N reported COVID-19 deaths for this week

cu_cases

Cumulative N reported COVID-19 cases up to and including this week

cu_deaths

Cumulative N reported COVID-19 deaths up to and including this week

r14_cases

14-day notification rate of reported COVID-19 cases per 100,000 population

r14_deaths

14-day notification rate of reported COVID-19 cases per 100,000 population

Source

http://ecdc.europa.eu/

Details

Table: Data summary

Name	dplyr::ungroup(covnat_wee...
Number of rows	4966
Number of columns	11
_______________________
Column type frequency:
Date	1
character	3
numeric	7
________________________
Group variables	None

Variable type: Date

skim_variable	n_missing	complete_rate	min	max	median	n_unique
date	0	1	2019-12-30	2023-01-09	2021-07-05	159

Variable type: character

skim_variable	n_missing	complete_rate	min	max	empty	n_unique	whitespace
year_week	0	1.00	7	7	0	159	0
cname	0	1.00	5	14	0	31	0
iso3	196	0.96	3	3	0	30	0

Variable type: numeric

skim_variable	n_missing	complete_rate	mean	sd	p0	p25	p50	p75	p100	hist
pop	0	1.00	31613614.13	85253844.55	39055	2108977.00	6916548.00	17475415.00	453006705.00	▇▁▁▁▁
cases	222	0.96	77511.62	374657.80	0	1127.00	5487.00	28342.00	9023067.00	▇▁▁▁▁
deaths	279	0.94	514.14	2005.64	0	8.00	46.00	250.50	28380.00	▇▁▁▁▁
cu_cases	222	0.96	4188407.63	16969793.99	0	43400.25	485047.50	2117551.00	183857564.00	▇▁▁▁▁
cu_deaths	279	0.94	44362.78	142967.65	0	651.00	6268.00	28807.00	1204878.00	▇▁▁▁▁
r14_cases	263	0.95	557.34	1044.46	0	51.61	216.74	576.99	13728.65	▇▁▁▁▁
r14_deaths	321	0.94	34.08	50.74	0	3.81	14.21	42.57	435.28	▇▁▁▁▁