This R package stores data about the 2019-2020 COVID-19 pandemic (SARS-CoV-2).
The date is transcribed or compiled from official sources, but there is no guarantee as to the accuracy of the transcribed data or graphs in the vignettes. Please file an issue if any errors (discrepancies with official reports) are noticed.
Currently, this package contains the documented data objects as listed below.
Plots of the global data can be found in the World vignette.
Plots of the Ontario data can be found in the Ontario vignette.
Plots of the Canada data can be found in the Canada vignette.
ECDC_owid and sarscov2_ecdc_2019: The fulldata.csv file produced by Our World In Data, loaded as a data.frame, including cumulative cases and deaths for all countries. The first is the untransformed long format, and sarscov2_ecdc_2019 is transformed into wide format similar to sarscov2_who_2019, and renamed with ISO 3-letter country codes with systematic snake case naming. Updated to 2020-10-08.
WHO_SR and sarscov2_who_2019: The transcribed WHO situation reports. The first uses the wordy names from the Situation Reports, and sarscov2_who_2019 uses systmatic ISO 3-letter country code names with systematic snake case naming. Updated up to 2020-04-21 (Situation Reports # 1-92). Note I am not currently able able to keep the WHO Situation Report transcriptions up to date.
ON_status: The government of Ontario updates the Ontario testing data (e.g. cumulative case count) and current hospitalization data daily in a .csv file, covidtesting.csv. This object contains that data, with variables renamed. updated as of 2020-10-08.
ON_linelist: The list of confirmed cases provided by the Government of Ontario. Last updated 2020-10-08.
ON_mohreports: This object contains data transcribed from the Public Health Ontario/Ontario Ministry of Health "Epidemiologic Summary" reports, published daily as PDFs from 2020-03-29. It is updated as of 2020-10-08. (Currently with missing dates 09-06 to 09-20)
ON_cumulativeON_status) The source of this data is the official Ontario Government's website. Data is included from page updates that were captured by the Internet Archive where possible. It has been updated to 2020-05-01.
CAN_govcsv: The government of Canada releases provincial cumulative totals including cases, deaths, and number tested, released as a covid19.csv file. This object contains data from that file transformed into a wide data frame. It is updated as of 2020-10-08.
CAN_cumulativeCAN_govscv): Prior to the government's release of data in .csv, this data was scraped from the Canadian Government's website, up to 2020-03-27. After this time, the government started releasing a daily .csv containing the full data (see CAN_govcsv above).
The package can be installed via devtools::install_github("eebrown/data2019nCoV"). Be sure to reinstall to obtain the latest version as new data is released and old data is corrected.
Once the package is installed and loaded, the data is available in a data.frame object, WHO_SR. This package uses plain lanugage variable names. The data is also available in the object sarscov2_who_2019, which uses more systematic variable names. The latter object also appears in the package outbreaks, though may be slightly less updated there.
If you use the data for a project, please consider adding the project link to the wiki. If you verify the data (confirm it to be equivalent to the WHO Situation Reports), please also consider noting that on the wiki. The purpose is to facilitate data analysis in this rapidly evolving pandemic.
Raw/transcribed data are stored as .csv files in the /data-raw directory, e.g. /data-raw/WHO_SR.csv. The scripts that converted the raw data into an R object are in a corresponding .R file in that directory (e.g. /data-raw/WHO_SR.R).
This package uses freely available data, and itself is freely available with the CC0 licence. Information from WHO may be subject to WHO copyright and terms. The data source and package should be attributed. No warranty is made as to the accuracy of the data or transcription: use at your own risk. Please file an issue if you find any errors.