MIDAS Catalog

Coronavirus COVID-19 (2019-nCoV) Data Repository and Dashboard for South Africa

Created by Dr. Vukosi Marivate, Data Science for Social Impact Research Group at University of Pretoria and Herkulaas Combrink

Description:

This is a repository for COVID-19 in South Africa containing datasets on testing, cases, recoveries, deaths, transmission types, vaccination and hospital surveillance data. It also contains Jupyter notebooks with analysis and visualization code, forecasting modeling for COVID-19. The repository also stores python scrips for data processing and scraper. The code is licensed under the MIT license.

Preview:

https://github.com/dsfsi/covid19za

This site was available on the date of the last automated link check. (2026/09/27)

Schema.org

LinkML

Identifier	URL: https://github.com/dsfsi/covid19za
Type	Repository
Topics/About	Behavior Human Movement Control Strategy Vaccination Vaccination Administration Cumulative Vaccination Data Preparation Data Service Disease Infectious Disease Vaccine-Preventable Disease COVID-19 Viruses Infection Viral Respiratory Tract Infection COVID-19 Graphics Visualization Health System Capacity Treatment Facility Host Homo sapiens Modeling Modeling Method Statistical Model Bayesian Model Modeling Purpose Forecasting Pathogen Viruses SARS-CoV2 Population Count Case Count Cumulative Case Count Hospitalization Incident Hospitalization Infection Case List Mortality Cumulative Death Count Excess Mortality Recovery Count Cumulative Recovered Count Tests Population Demographic Age-Stratified Gender
Language	English
License	CC BY-SA 4.0
Rights	https://github.com/dsfsi/covid19za/blob/master/README.md
Accessible For Free	TRUE
Biological Scale	population
Geographical Scope	Republic of South Africa
Geographical Resolution	Province, District
Start Date	2020/02/11
End Date	2022/12/23
Software Language	Python, R
File Format	CSV, PDF, TXT
Version	12
HTTP Status Code	200
HTTP Checked On	2026/09/27