weighted_efficacy: Estimate weighted efficacies

In mrc-ide/nimue: COVID-19 Vaccine Modelling

Estimate weighted efficacies

Description

Estimate weighted age-disaggregated efficacies and numbers of doses over time to facilitate an approximation of 2 doses with varying 1st and 2nd dose efficacy. Current assumptions are that the duration in v1 and v2 (vaccinated but not protected) is fixed and that the number individuals that cannot be vaccinated (due to being in the hospitalised flow) does not substantivly impact vaccine roll out rates. It is recommended to run with reasonably large N to ensure that there are enough individuals assigned to each age group to get stable results.

Usage

weighted_efficacy(
  iso3c,
  N,
  maxt,
  doses_per_day,
  dose_period,
  delay_dose1,
  delay_dose2,
  prioritisation_matrix,
  d2_prioritise,
  infection_efficacy,
  disease_efficacy
)

Arguments

iso3c	Country iso3c code
N	Number to simulate. Country population is rescaled to this number
maxt	Max time
doses_per_day	Vector of available doses per day
dose_period	Days between dose 1 and dose 2
delay_dose1	Delay between receipt of first dose and protection from first dose (duration in v1v)..
delay_dose2	Delay between receipt of second dose and protection from second dose.
prioritisation_matrix	Prioritisation matrix
d2_prioritise	Boolean vector indicating which age groups are prioritised to receive 2nd dose
infection_efficacy	Vector of length 2 of infection efficacy for first and second dose
disease_efficacy	Vector of length 2 of disease efficacy for first and second dose

Value

Age disaggregated dose numbers and efficacies over time.

mrc-ide/nimue documentation built on March 25, 2022, 4:45 a.m.