Some mathematical models on epidemiology / Covid-19 infections
Project description
Python package for epidemiological models relevant to modeling Covid-19 infections
Pre-requisite: Python 3.6 and above
To run the following models, execute (from the top-level covimath directory):
- SIS model:
python3 -m covimath.models.sis N=1000 lambda=0.05 mu=0.15 gamma=0.1 I0=1 tau=30 - SIR model:
python3 -m covimath.models.sir N=1000 I0=1 R0=0 beta=0.2 gamma=0.1 tau=150 - SEIR model:
python3 -m covimath.models.seir N=1000 E0=1 I0=1 R0=0 beta=1.38 sigma=0.19 gamma=0.34 tau=150 - SEIRD model:
python3 -m covimath.models.seird N=1000 E0=1 I0=1 R0=0 D0=0 beta=1.38 sigma=0.19 gamma=0.34 mu=0.03 tau=150
To run the tests, from the top-level covimath directory, run:
pytest
A simple method to estimate beta for SIR model has been provided.
Example code can be found in a gist.
Installation: To install this package, run: pip3 install covimath
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