public_health_outcome: Calculate the number of public health relevant cases (e.g....

In MJomaba/flu-evidence-synthesis: Flu Evidence Synthesis: Analysing Effectiveness of Vaccine Strategies

Calculate the number of public health relevant cases (e.g. mortality, hospitalisations) from incidence data

Description

Uses the provided proportion to calculate the number of different cases from the incidence data. The expected proportion of each case needs to be provided by the user and is likely to be country/disease specific.

Usage

public_health_outcome(proportion, incidence, no_risk_groups = NULL,
  no_age_groups = NULL)

Arguments

proportion	The expected proportion of cases resulting in hospitalisations. This can be a constant value for each age/risk groups, or a vector with the proportion for each age/risk group. Finally if either no_risk_groups or no_age_groups is specified it can also be a vector with the proportion by risk groups or by age group. Finally it can also be a list with different proportions for different outcomes, e.g. list("hospitalisation" = c(0.01, 0.001), "mortality" = 0.0001)
incidence	Vector containing the expected incidence for each age/risk group as returned by for example vaccinationScenario.
no_risk_groups	The total number of risk groups (optional)
no_age_groups	The total number of age groups (optional)

Value

A vector with the number of hospitalisations for each age/risk group

MJomaba/flu-evidence-synthesis documentation built on April 26, 2022, 11:12 p.m.