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COVID-19 Data Tracker

Tracking the spread of the coronavirus is the first step to its prevention.

This repository contains the code for tracking the following key indicators:

  • Time-varying estimate of the effective reproduction number R(t)
  • Daily confirmed cases
  • Daily deaths attributed to COVID-19
  • Daily recoveries

The Notebook contains notes describing the method for estimating the effective reproduction number R(t).

The interactive Streamlit web application is available for data exploration. Run the app with the following command:

streamlit run app.py

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Tracking how the coronavirus is spreading around the world.

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