ModelSEIRDCONN

Contents

ModelSEIRDCONN#

class epiworldpy.epimodels.ModelSEIRDCONN(self: epiworldpy._core.epimodels.ModelSEIRDCONN, name: str, n: SupportsInt | SupportsIndex, prevalence: SupportsFloat | SupportsIndex, contact_rate: SupportsFloat | SupportsIndex, transmission_rate: SupportsFloat | SupportsIndex, incubation_days: SupportsFloat | SupportsIndex, recovery_rate: SupportsFloat | SupportsIndex, death_rate: SupportsFloat | SupportsIndex)#

Bases: Model

Susceptible-Exposed-Infected-Recovered-Deceased (SEIRD) model in a connected population.

States: Susceptible, Exposed, Infected, Removed, Deceased.

Every agent can contact every other agent (a well-mixed population), so no network is needed: the model creates its n agents itself. This is equivalent to a compartmental model.

Create a connected SEIRD model.

Parameters:

  • name (str) – Name of the virus.

  • n (int) – Number of agents.

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

  • contact_rate (float) – Average number of contacts per agent per day.

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

  • incubation_days (float) – Average number of days in the exposed state; greater than 0.

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

  • death_rate (float) – Daily probability of death, between 0 and 1.

Contents