`altar.models.sir.SIR`

Module Contents

Classes

class altar.models.sir.SIR.SIR(name, locator, **kwds)

Bases: altar.models.BayesianL2.BayesianL2

SIR model in epidemiology This model assumes five parameters

S0 - The initial value of susceptible population (times the population base factor) I0 - The initial value of infectious R0 - The initial value of Recovered/Deaths β - the average number of contacts per person per time γ - the rate of recovery or mortality

to generate the time sequence of S(t), I(t) and R(t) It uses the new cases per day as data observations, or S(t-1)-S(t)

population_base

doc = the base factor for population

_SIR_Rate(self, S, I, N, β, γ): SIR Rate equation

forwardModel(self, theta, prediction): Forward SIR model