SEIRTModel: SEIR+T Model

View source: R/SEIRTModel.R

SEIRTModelR Documentation

SEIR+T Model

Description

A model for influenza that uses a SEIR framework with age structure and that allows for antiviral treatment

Usage

SEIRTModel(population, populationFractions, contactMatrix, R0, latentPeriod,
  infectiousPeriod, seedInfections, priorImmunity, useCommunityMitigation,
  communityMitigationStartDay, communityMitigationDuration,
  communityMitigationMultiplier, fractionSymptomatic, fractionSeekCare,
  fractionDiagnosedAndPrescribedOutpatient, fractionAdhere, fractionAdmitted,
  fractionDiagnosedAndPrescribedInpatient, AVEi, AVEp, simulationLength,
  seedStartDay, tolerance, method)

Arguments

population

Size of population; defaults to 1

populationFractions

Vector of population fractions (all non-negative, sum to 1); defaults to 1, representing a single population group

contactMatrix

A matrix whose (row i, column j) entry denotes the number of potentially infectious contacts a single individual from group j has with individuals from group i each day; defaults to proportional mixing

R0

Average number of secondary cases from a single infected individual in a completely susceptible population; must be specified

latentPeriod

Latent period in days; must be specified

infectiousPeriod

Infectious period in days; must be specified

seedInfections

Fraction of the population to seed with infections; single fraction or vector of fractions by population group; defaults to 0

priorImmunity

Fraction of the population with prior immunity; single fraction, or vector of fractions by population group; defaults to 0

useCommunityMitigation

Whether or not to use community mitigation implemented by modulation of the contact matrix; defaults to FALSE

communityMitigationStartDay

If using community mitigation, day of the simulation on which to start mitigation; must be specified if applicable

communityMitigationDuration

If using community mitigation, duration of time during which mitigation is in effect; must be specified if applicable

communityMitigationMultiplier

If using community mitigation, the non-negative matrix of multipliers that will be used to modulate the contact matrix by elementwise multiplication; must be specified if applicable

fractionSymptomatic

Fraction of the infections that are symptomatic cases; single fraction or vector of fractions by population group; defaults to 0.5

fractionSeekCare

Fraction of the symptomatic cases that seek medical care; single fraction or vector of fractions by population group; defaults to 0.6

fractionDiagnosedAndPrescribedOutpatient

Fraction of the outpatient medical care seeking cases that are diagnosed and prescribed antiviral drugs; single fraction or vector of fractions by population group; defaults to 0.7

fractionAdhere

Fraction of the cases that are prescribed antiviral drugs that adhere to the regimen; single fraction or vector of fractions by population group; defaults to 0.8

fractionAdmitted

Fraction of the cases that require hospitalization that are admitted; single fraction or vector of fractions by population group; defaults to 1

fractionDiagnosedAndPrescribedInpatient

Fraction of the hospitalized cases that are diagnosed and prescribed antiviral drugs; single fraction or vector of fractions by population group; defaults to 1

AVEi

Antiviral efficacy: prevention of transmission from infected individuals taking antiviral drugs; single fraction or vector of fractions by population group; defaults to 0

AVEp

Antiviral efficacy: probability that antiviral treatment averts hospitalization and/or death; single fraction or vector of fractions by population group; defaults to 0

simulationLength

Number of days to simulate after seeding infections; defaults to 240

seedStartDay

Day on which to seed initial infections; defaults to 0

tolerance

Absolute tolerance for numerical integration; defaults to 1e-8

method

Which integration method to use. Defaults to lsoda

Value

a SEIRTModel object


HHS/ASPR-flumodels documentation built on Dec. 6, 2022, 12:20 p.m.