ModelSIS

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ModelSIS#

class epiworldpy.epimodels.ModelSIS(self: epiworldpy._core.epimodels.ModelSIS, name: str, prevalence: SupportsFloat | SupportsIndex, transmission_rate: SupportsFloat | SupportsIndex, recovery_rate: SupportsFloat | SupportsIndex)#

Bases: Model

Susceptible-Infected-Susceptible (SIS) model on a network.

States: Susceptible, Infected. Recovered agents become susceptible again.

The model has no agents until a population is added, for example with agents_smallworld().

Create a SIS model.

Parameters:

  • name (str) – Name of the virus.

  • prevalence (float) – Initial proportion of agents with the virus.

  • transmission_rate (float) – Probability of transmission per contact, between 0 and 1.

  • recovery_rate (float) – Daily probability of recovery, between 0 and 1.

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