comp_seir: Solves the SEIR model

In c97sr/learnidd: A collection of functions useful for the study of infectious disease dynamics

Solves the SEIR model

Description

Creates both deterministic and stochastic solutions to a common epidemic model.

Usage

comp_seir(
  De = 7,
  Tg = 15,
  R0 = 1.8,
  N = 1e+06,
  I0 = 10,
  trickle = 0,
  trickleStart = 0,
  reprate = 1,
  dt = 1,
  R1 = 1,
  t1 = 999,
  R2 = 1,
  t2 = 9999,
  noTimeSteps = 360,
  noReals = 1,
  A = 0,
  deterministic = TRUE
)

Arguments

De	duration latent
Tg	generation time
R0	Basic reproductive number
N	size of the population
I0	number of initial infectious individuals
trickle	expected number of trickle infections per day
trickleStart	start time for trickle infection
reprate	reporting rate
dt	time step
R1	second value for the reproductive nuber
t1	time of change to the second R value
R2	third value for the reproductive number
t2	time of change to the third reproductive number
noTimeSteps	number of timesteps
noReals	number of realizations, NOT YET IMPLEMENTED
A	coefficient of seasonaliity
deterministic	mode of solutions

Details

Details go here XXX new edit YYYY

Value

A list of two elements. The first is the incidence of infection and the second is the timepoints to which the incidence refers.

Examples

comp_seir()
comp_seir(R0=0.999)

c97sr/learnidd documentation built on Jan. 12, 2025, 4:24 p.m.