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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