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A Python toolkit for analysis, modelling and forecasting Epidemic

Project description

Epidtools

A Python toolkit for analysis, modelling and forecasting Epidemic

Requirments :

  • Scipy : 1.4.1 +
  • Numpy : 1.4.1 +
  • scikit-learn
  • pandas
  • statsmodels

Key features:

  • Epidemic outbreak modeling and short-term forecasting using predefined fitted growth functions.
  • Estimation of time-dependent transmission coefficients and efective reproduction number.
  • Epidemic dynamics modeling and estimation of transmission epidemiological parameters using the Runge-Kutta initial value problem solver and iterative (limited memory) BFGS optimizer.
  • Epidemic decay dynamics modeling with time dependent contact rate using different decay functions (exp, power, tanh).
  • Estimation of effective reproduction number using Kalman filtering techniques directly from the real-time infection data.

How to install epitools

[!IMPORTANT] All the dependencies should be installed first.

Epitools can be installed using the following command on terminal:

pip install epitool

Tutorials and documentation:

The tutorials can be accessed from here.

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