openmedical/registry
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covid19-severity-prediction

imported

devices/covid19-severity-prediction

Extensive and accessible COVID-19 data + forecasting for counties and hospitals. 📈

Machine-generated from the listed sources and not yet reviewed by a human.

record
Category
Devices & Hardware
Subcategory
unknown
License
MIT(osi)
Status
dormant
Maturity
deployed
Organization
Yu-Group
Country
unknown
Documentation
unknown
Tags
coronavirus · coronavirus-tracking · county-health-data · county-level · covid-19 · covid-19-data · covid-19-data-analysis · data-analysis
Regulatory
unknown
built by · 6

Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.

similar by tags

Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.

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    COVID-19 Data Repository for Bangladesh and Worldwide Cases

  • COVID-19-ECG-Classificationcoronavirus · covid-19 · covid-19-data

    This repository contains the source codes of the article published to detect changes in ECG caused by COVID-19 and automatically diagnose COVID-19 from ECG data.

  • aarogya_sevacoronavirus · coronavirus-tracking · covid-19

    A beautiful 😍 covid-19 app with self - assessment and more.

  • Corona-trackercoronavirus · coronavirus-tracking · covid-19

    An easy-to-use PWA to monitor the user's wellness and learn about COVID-19.

  • epi-collectcoronavirus · coronavirus-tracking · covid-19

    🌏🌎🌍 Liberate Google Takeout location data for epidemiological research and local contact tracing https://epi-collect.org

sources
  1. api.github.com/repos/Yu-Group/covid19-severity-prediction
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2023-11-13, 231 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/50.json→ .entries["covid19-severity-prediction"]

Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.