cssegisanddata/covid-19

Analysis updated 2026-06-20

★ 28,956Audience · researcherComplexity · 1/5Setup · easy

Mindmap

mindmap
  root((covid-19))
    What it does
      Historical data archive
      Daily case counts
      Jan 2020 to Mar 2023
    Data Scope
      Global countries
      US states
      US counties
    Use Cases
      Pandemic visualizations
      Epidemiological modeling
      Policy analysis
    Audience
      Researchers
      Data analysts
      Journalists

mindmap root((covid-19)) What it does Historical data archive Daily case counts Jan 2020 to Mar 2023 Data Scope Global countries US states US counties Use Cases Pandemic visualizations Epidemiological modeling Policy analysis Audience Researchers Data analysts Journalists

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What do people build with it?

USE CASE 1

Build a retrospective visualization of COVID-19 case growth curves by country or US county over the full 2020-2023 period.

USE CASE 2

Train or validate an epidemiological model using the complete time series of confirmed cases and deaths across countries.

USE CASE 3

Analyze pandemic response patterns by comparing case counts against policy intervention dates across different regions.

USE CASE 4

Export the dataset into your own database to power a historical public-health research project or academic paper.

What is it built with?

CSV

How does it compare?

	cssegisanddata/covid-19	postcss/postcss	hpcaitech/open-sora
Stars	28,956	28,964	28,940
Language	—	TypeScript	Python
Setup difficulty	easy	moderate	hard
Complexity	1/5	2/5	4/5
Audience	researcher	developer	developer

Figures from each repo's GitHub metadata at analysis time.

How do you get it running?

Difficulty · easy Time to first run · 5min

Data collection ended March 2023, this is a static historical archive with no new updates.

Free to use with attribution to the JHU CSSE team per their published guidelines.

In plain English

This repository is the data archive from the COVID-19 tracking dashboard operated by the Johns Hopkins University Center for Systems Science and Engineering (JHU CSSE). Starting in January 2020 and running until March 2023, the team collected and published daily counts of confirmed COVID-19 cases, deaths, and recoveries for countries and regions around the world, along with county-level and state-level data for the United States. The data was compiled from dozens of official sources, national health ministries, the World Health Organization, the US CDC, European health agencies, and state and county health departments across the US, and organized into structured files that researchers, journalists, and developers could download and use freely. The repository served as the underlying dataset for the widely referenced JHU COVID-19 visual dashboard. As of March 2023, JHU stopped collecting new data, the repository now serves as a historical archive. Anyone doing research on pandemic trends, building retrospective models, or studying epidemiology would use this dataset to access the full time series of global COVID-19 case counts from 2020 through early 2023. The data is cited in peer-reviewed publications and requires attribution to the JHU CSSE team per their published guidelines.

Copy-paste prompts

Prompt 1

Load the JHU CSSE COVID-19 global confirmed cases time series CSV into a pandas DataFrame and plot the top 10 countries by total cases as a line chart.

Prompt 2

Using the JHU CSSE COVID-19 data, calculate the 7-day rolling average of new daily cases for the United States across the full 2020-2023 period.

Prompt 3

Compare COVID-19 death rates across European countries using the JHU CSSE dataset, normalize by population and visualize with a matplotlib bar chart.

Prompt 4

Pull US county-level COVID-19 case data from the JHU CSSE repo and create a choropleth map in Python showing cumulative cases per capita by county.

Frequently asked questions

What is covid-19?

A historical archive of daily global COVID-19 confirmed cases, deaths, and recoveries compiled by Johns Hopkins University from January 2020 to March 2023, freely available for research and analysis.

What license does covid-19 use?

Free to use with attribution to the JHU CSSE team per their published guidelines.

How hard is covid-19 to set up?

Setup difficulty is rated easy, with roughly 5min to a first successful run.

Who is covid-19 for?

Mainly researcher.

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