aggregate_ifr_react: Aggregate the Infection Fatality Ratio

In bernadette-eu/Bernadette: Bayesian Inference and Model Selection for Stochastic Epidemics

Aggregate the Infection Fatality Ratio

Description

Function to aggregate the age-specific Infection Fatality Ratio (IFR) estimates reported by the REACT-2 large-scale community study of SARS-CoV-2 seroprevalence in England according to user-defined age groups.

Usage

aggregate_ifr_react(x, user_AgeGrp, data_cases)

Arguments

x	data.frame; an age distribution matrix. See age_distribution.
user_AgeGrp	vector; a user-defined vector which maps the four age groups considered in REACT-2 to a new set of age groups.
data_cases	data.frame; time series dataset containing the age-stratified infection counts. See age_specific_infection_counts.

Value

A list of two data frames that contains the aggregated IFR estimates.

References

Ward, H., Atchison, C., Whitaker, M. et al. (2021). SARS-CoV-2 antibody prevalence in England following the first peak of the pandemic. Nature Communications 12, 905

Examples

# Import the age distribution for Greece in 2020:
age_distr <- age_distribution(country = "Greece", year = 2020)

age_mapping <- c(rep("0-39",  8),
                 rep("40-64", 5),
                 rep("65+",   3))

data(age_specific_infection_counts)

# Aggregate the IFR:
aggr_age_ifr <- aggregate_ifr_react(age_distr, age_mapping, age_specific_infection_counts)

bernadette-eu/Bernadette documentation built on July 1, 2024, 9:58 p.m.