impact_by_year_of_vaccination_birth_cohort.RdImpact by year of vaccination with impact ratio stratified by birth cohort. Stratifying impact ratio by birth cohort aims to catch temporal changes in transmission or healthcare.
impact_by_year_of_vaccination_birth_cohort(
baseline_burden,
focal_burden,
fvps,
vaccination_years
)Data frame of baseline burden data this needs to have columns country, burden_outcome, vaccine_delivery, year, age, value
Data frame of focal burden data this needs to have columns country, burden_outcome, vaccine_delivery, year, age, value
Data frame of FVPs (fully vaccinated persons) needs to have columns country, year, activity_type, fvps other columns can be included and will be aggregated over.
Years of vaccination of interest.
Vaccine impact by country, activity type (routine or campaign), year and burden outcome
This method is invariant to activity type. Vaccine effect is assumed to vary over time through birth cohorts. This means that rather than averaging the effect of vaccination over time, we account for the variation in transmission and health of the population. This influences how one year's vaccination may work compared to another. For example, if therapeutic treatments for a disease improve over time, we may expect the impact of vaccination in 2050 to be less than that now as the population is generally healthier.