Reference · built on requestCommons signalPublic health

JHU CSSE COVID-19 Data Repository

Archived global COVID-19 case and mortality time-series by country and US county from Johns Hopkins University CSSE.

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About

The Johns Hopkins University Center for Systems Science and Engineering (JHU CSSE) COVID-19 Data Repository is the premier historical reference archive for the global COVID-19 pandemic. Operating from January 22, 2020 through March 10, 2023, the repository aggregated confirmed cases, recoveries, and deaths worldwide at daily resolution across sovereign nations, administrative provinces, and all 3,142 United States counties.

Through Fibric, an operator references standardized historical pandemic curves and county-level outbreak trajectories, proposing baseline crisis scenarios, business continuity stress tests, and disaster recovery modeling based on historical epidemic data.

This is a reference listing. It documents what Fibric would read from JHU CSSE COVID-19 Data Repository and what it could propose, based on the publisher's published interfaces. Fibric builds it under a managed deployment when you request it; selecting it here installs nothing.

Inputs

  • Historical daily confirmed case counts by nation, province, and US county spanning 2020 to 2023
  • Historical daily cumulative mortality counts tracking pandemic impact across all 3,142 US counties
  • Global national time-series tables detailing confirmed cases and deaths across more than 190 countries
  • Standardized geographic identifiers including FIPS county codes and ISO 3166-1 country codes
  • Version-controlled CSV datasets and archival tables hosted in the JHU CSSE GitHub repository

Proposed actions

Read-only. This feed informs operators; it changes nothing.

Proposed actions are target capabilities. Every action runs propose-first and needs a validated deployment and the appropriate permissions.

What you can build

  • Model business continuity scenarios against historical epidemic waves

    Ingest JHU CSSE historical county epidemic curves, proposing simulated workforce absence stress tests and supply chain contingency playbooks based on real pandemic waves.

    With Site Benchmark, Shift Coverage

  • Calibrate emergency staffing models with historical county mortality

    Analyze peak case velocity across facility locations during prior epidemic waves, proposing minimum operational staffing thresholds for future regional public health emergencies.

    With Shift Coverage, Compliance Evidence

Requirements

  • CSV parser capable of ingesting wide and long-format historical time-series tables
  • Mapping logic linking US FIPS county codes to enterprise facility and warehouse locations
  • Attribution acknowledging Johns Hopkins University CSSE under Creative Commons Attribution 4.0 terms
Authentication
None. The JHU CSSE COVID-19 archive is publicly accessible via GitHub and raw HTTP downloads without authentication or credentials.

Limits

  • Data collection ceased on March 10, 2023; repository serves strictly as a historical reference dataset
  • Historical numbers reflect jurisdictional reporting standards and retrospective case definition updates implemented during the pandemic
  • Repository is frozen in static GitHub files rather than maintained as an active streaming endpoint

Access and pricing

Reference listing. Public feed access is separate from Fibric integration. If you request this feed, your quote covers the build, usage, and support.

Request JHU CSSE COVID-19 Data Repository ↗

Questions and answers

Is the JHU CSSE COVID-19 repository still actively updated?
No. Johns Hopkins University ceased active data collection on March 10, 2023. The repository remains permanently archived for historical and analytical research.
What geographic levels are covered in the JHU archive?
The archive provides daily time-series data for more than 190 countries, administrative subdivisions, and all 3,142 United States counties.
What license applies to the JHU CSSE data repository?
Data is published under the Creative Commons Attribution 4.0 International (CC BY 4.0) license, allowing unrestricted analytical and commercial reuse with attribution.
Ask about JHU CSSE COVID-19 Data Repository

Ask about the capabilities and requirements in this listing.

For project-specific requirements, contact Fibric.

This Commons signal listing is developed, published, and supported by Fibric. It reads public data published by Johns Hopkins University CSSE (github.com/CSSEGISandData/COVID-19). Upstream agencies and projects are the property of their respective owners, who are not affiliated with Fibric and do not sponsor or endorse this listing. Trademark policy