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Implementation of the Leap-Frog Method for solving ordinary differential equations describing the epidemic SIR Model for a population of N individuals, considering the variables of individuals infected I(t), the suceptible to be infeted S(t) and the individuals who have recovered from the infection R(t).
PyCoMod is a Python package for building and running compartment models derived from systems of differential equations such as the Susceptible-Infectious-Recovered (SIR) model of infectious diseases.
Provides classes to simulate epidemics on (potentially time-varying) networks using a Gillespie stochastic simulation algorithm or the classic agent based method.