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cssegisanddata/covid-19

★ 28,954Audience · researcherComplexity · 1/5DormantLicenseSetup · easy

TLDR

Historical archive of daily COVID-19 case, death, and recovery counts by country and US region, collected by Johns Hopkins University from January 2020 to March 2023.

Mindmap

mindmap
  root((repo))
    What it does
      Daily case counts
      Death and recovery data
      Global and US regional
    Data sources
      Health ministries
      WHO and CDC
      State and county health depts
    Use cases
      Pandemic trend research
      Epidemiology studies
      Retrospective modeling
    Audience
      Researchers
      Journalists
      Data analysts
    Format
      Structured CSV files
      Time series data
      Free download

Things people build with this

USE CASE 1

Analyze pandemic trends and case growth patterns across countries and US regions from 2020 to 2023.

USE CASE 2

Build retrospective epidemiological models to study disease spread and mortality rates.

USE CASE 3

Create historical visualizations or reports comparing COVID-19 impact across different regions.

USE CASE 4

Train machine learning models on real-world pandemic data for forecasting or analysis.

Tech stack

CSVGit

Getting it running

Difficulty · easy Time to first run · 5min
Use freely for any purpose, including commercial use and research, as long as you attribute the data to the Johns Hopkins University CSSE team.

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
Download the Johns Hopkins COVID-19 dataset and show me how to load the daily case counts by country into a pandas DataFrame.
Prompt 2
I want to compare COVID-19 death rates between US states using the JHU CSSE historical data. How do I structure the analysis?
Prompt 3
Help me create a time-series visualization of confirmed cases in the top 10 countries using the Johns Hopkins COVID-19 archive.
Prompt 4
Show me how to calculate the weekly growth rate of COVID-19 cases by region using this dataset.
Prompt 5
I need to cite the Johns Hopkins COVID-19 data in a research paper. What attribution format do they require?
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