ModelSEIRNetworkQuarantine

ModelSEIRNetworkQuarantine#

class epiworldpy.epimodels.ModelSEIRNetworkQuarantine(self: epiworldpy._core.epimodels.ModelSEIRNetworkQuarantine, vname: str, prevalence: SupportsFloat | SupportsIndex, transmission_rate: SupportsFloat | SupportsIndex, avg_incubation_days: SupportsFloat | SupportsIndex, recovery_rate: SupportsFloat | SupportsIndex, hospitalization_rate: SupportsFloat | SupportsIndex, hospitalization_period: SupportsFloat | SupportsIndex, days_undetected: SupportsFloat | SupportsIndex, quarantine_period: SupportsInt | SupportsIndex, quarantine_willingness: SupportsFloat | SupportsIndex, isolation_willingness: SupportsFloat | SupportsIndex, isolation_period: SupportsInt | SupportsIndex, contact_tracing_success_rate: SupportsFloat | SupportsIndex = 1.0, contact_tracing_days_prior: SupportsInt | SupportsIndex = 4)#

Bases: Model

SEIR model on a network, with quarantine, isolation, hospitalization, and contact tracing.

Like ModelSEIRMixingQuarantine, but contacts are the agents’ neighbors in the network (for example, one built with agents_sbm()) instead of a contact matrix.

States: Susceptible, Exposed, Infected, Isolated, Detected Hospitalized, Quarantined Susceptible, Quarantined Exposed, Isolated Recovered, Hospitalized, Recovered.

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

Create a SEIR network model with quarantine.

Parameters:

  • vname (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.

  • avg_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.

  • hospitalization_rate (float) – Daily probability that an infected agent is hospitalized.

  • hospitalization_period (float) – Average number of days in the hospital.

  • days_undetected (float) – Average number of days an infection goes undetected.

  • quarantine_period (int) – Number of days in quarantine. A negative value turns quarantine off.

  • quarantine_willingness (float) – Proportion of agents willing to quarantine.

  • isolation_willingness (float) – Proportion of agents willing to isolate.

  • isolation_period (int) – Number of days in isolation. A negative value turns isolation off.

  • contact_tracing_success_rate (float, default 1.0) – Probability that a contact is traced.

  • contact_tracing_days_prior (int, default 4) – Number of days before detection during which contacts are traced.