SEROlike_onesurvey: likelihood for one serological survey in either model

In mrc-ide/YFestimation: Estimate ecological niche and two transmission models for yellow fever in Africa.

Description

likelihood for one serological survey in either model

Usage

SEROlike_onesurvey(model_type, transmission_intensity, seroout, pop,
  vc = 0, surveyIndex, foi_const = 0, dim_year, dim_age, p_at_survey,
  P_tot_survey, inc_v3d_agg, pop_moments_agg, vcfac_arg = 1, vac_eff_arg)

Arguments

model_type	whether in R0 or Foi model
transmission_intensity	value of foi or R0 for survey
seroout	processed serology data
pop	population in year and place of survey
vc	vaccine coverage, defaults to 0
foi_const	constant force of infection to add to R0 model
dim_year	years of interest
dim_age	ages of interest
inc_v3d_agg	incidence of vacciantion at survey
pop_moments_agg	aggregated population moments at survey
vcfac_arg	vaccine coverage factor
vac_eff_arg	vaccine efficacy
age_groups1	age groups in one survey
index_survey	index of serological survey
p_at_survey_3d	population proportion at survey as an array
P_tot_survey_2d	population total at survey

Value

log likelihood for one serological survey from either model

mrc-ide/YFestimation documentation built on March 13, 2021, 1:40 p.m.