# CSSEGISandData/COVID-19

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

Repository: https://github.com/CSSEGISandData/COVID-19
Canonical: https://ross.abutalabs.com/products/covid-19
Homepage: https://systems.jhu.edu/research/public-health/ncov/
License Family: other
Topics: johns-hopkins-university, systems-science, engineering, covid-19, 2019-ncov, coronavirus, csse, jhu
Archived: true
Last push: 2023-06-10T18:39:00+00:00

## Health v2 (maintenance only)
Score: 10/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2402, "days_push": 1180, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, archived, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 28903, forks 17920 (observed 2026-08-28T04:11:52.929729+00:00)

## What it is
The Johns Hopkins CSSE COVID-19 data repository containing global time-series data on confirmed cases, deaths, and recoveries from January 2020 to March 2023. It powered the widely used JHU Coronavirus Visual Dashboard and is now archived since JHU ceased data collection in March 2023.

## Use cases
- download historical global covid-19 case and death counts
- analyze pandemic time series data for research
- get country-level coronavirus statistics as csv
- reproduce epidemiological studies from 2020-2023
- visualize covid-19 spread over time
- train models on historical epidemic data

## When to choose
- you need the canonical historical COVID-19 dataset from 2020-2023
- you want CSV time-series data for epidemiological analysis or teaching
- you are reproducing research that cites the JHU dashboard

## When to avoid
- you need current or up-to-date COVID-19 data - use WHO or CDC sources instead
- you need vaccine or hospitalization data going forward
- you expect the dataset to keep updating

## Facets
- artifact type: dataset
- maturity: maintenance
- function: data-science, analytics, data-visualization
- domain: healthcare, data-science, analytics, time-series
- platform: cross-platform
- tags: covid-19, epidemiology, public-health, time-series-data, csv, johns-hopkins, dashboard, global-statistics

## Member repositories
- CSSEGISandData/COVID-19 (main) score 10

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:11:52.929729+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T16:53:16.903485+00:00, confidence not recorded.
  - readme: https://github.com/CSSEGISandData/COVID-19 (fetched 2026-08-28T04:11:52.929729+00:00, sha debe3359db08)
  - homepage: https://systems.jhu.edu/research/public-health/ncov/ (fetched 2026-08-29T07:50:54.691923+00:00, sha 70c215d91bab)
- Data as of 2026-08-30T08:39:29.467469+00:00.