SHLITR_demographics_ode: Susceptible-High-risk-latent-Low-risk-latent-Infected-Treated-Recovered...

In idmodelr: Infectious Disease Model Library and Utilities

Susceptible-High-risk-latent-Low-risk-latent-Infected-Treated-Recovered Model with Simple Demographics

Description

A more complex SHLIR model flow diagram, treatment,reinfection, and simple demographics for those who have recovered from active disease.

Usage

SHLITR_demographics_ode(t, x, params)

Arguments

t	The timestep over which to calculate derivatives
x	A numeric vector of compartment populations.
params	A named vector of parameter values.

Value

A vector of derivatives

Examples

## initialise
inits <- c(
# General population
S = 800,
H = 0,
L = 0,
I = 0,
Tr = 0,
R = 0
)

parameters <- c(
beta = 3, # Rate of transmission
gamma_H = 1/5, # Rate of progression to active symptoms from high risk latent
nu = 1/2, #Rate of progression from high to low risk latent
gamma_L = 1/100, # Rate of progression to active symptoms for low risk latent
epsilon = 1/3, # Rate of treatment
tau = 1/2, # Rate of recovery
mu = 1/81 # Rate of natural mortality
)

SHLITR_demographics_ode(1, inits, parameters)

idmodelr documentation built on Sept. 2, 2022, 5:06 p.m.