covimath 0.1.2

Some mathematical models on epidemiology / Covid-19 infections

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