prob_seroprev_by_age: Generate probabilities of seropositivity by age based on...

In serofoi: Bayesian Estimation of the Force of Infection from Serological Data

Generate probabilities of seropositivity by age based on model choice.

Description

This function generates seropositivity probabilities based on either a time-varying Force-of-Infection (FoI) model, an age-varying FoI model, or an age-and-time-varying FoI model. In all cases, it is possible to optionally include seroreversion.

Usage

prob_seroprev_by_age(model, foi, seroreversion_rate = 0)

Arguments

model	A string specifying the model type which can be either '"age"', '"time"', '"age-time"'.
foi	A dataframe containing the FoI values. For time-varying models the columns should be: year Calendar years starting at the birth year of the oldest person and up to the time of the serosurvey foi Corresponding values of the FoI by year For age-varying models the columns should be:. age Ages starting at 1 and up to the age of the oldest person in the serosurvey foi Corresponding values of the FoI by age For age-and-time-varying models the columns should be: age Ages starting at 1 and up to the age of the oldest person in the serosurvey time Calendar years starting at the birth year of the oldest person and up to the time of the serosurvey foi Corresponding values of FoI by age and year
seroreversion_rate	A non-negative value determining the rate of seroreversion (per year). Default is 0.

Value

A dataframe with columns 'age' and 'seropositivity'.

Examples

prob_seroprev_by_age(
  model = "age",
  foi = data.frame(
    age = 1:80,
    foi = rep(0.01, 80)
  )
)

serofoi documentation built on April 3, 2025, 11:40 p.m.