https://github.com/kartikchugh/covid-case-model

Estimation of undetected COVID cases from mortality data (RaccoonHacks 2020 - Data Science Award)
https://github.com/kartikchugh/covid-case-model

coronavirus-tracking covid-case-count notebook-jupyter statistics

Last synced: about 1 year ago
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Estimation of undetected COVID cases from mortality data (RaccoonHacks 2020 - Data Science Award)

• Host: GitHub
• URL: https://github.com/kartikchugh/covid-case-model
• Owner: KartikChugh
• Created: 2020-05-03T17:30:02.000Z (about 6 years ago)
• Default Branch: master
• Last Pushed: 2020-07-11T01:50:55.000Z (almost 6 years ago)
• Last Synced: 2025-02-08T15:13:45.968Z (over 1 year ago)
• Topics: coronavirus-tracking, covid-case-count, notebook-jupyter, statistics
• Language: Jupyter Notebook
• Homepage: https://github.com/KartikChugh/COVID-Case-Model/blob/master/notebook.ipynb
• Size: 2.34 MB
• Stars: 0
• Watchers: 3
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Mortality-Based COVID Case Count Estimation

![graph](/graph-doubling.svg)

In this project, I track undetected COVID case numbers from January through present by computing doubling times, estimating the initial contraction date, and constructing a time series model.

**[You can access my model here.](https://github.com/KartikChugh/COVID-Case-Model/blob/master/notebook.ipynb)**