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epiverse-trace
serofoi:Bayesian Estimation of the Force of Infection from Serological Data
Estimating the force of infection from time varying, age varying, or constant serocatalytic models from population based seroprevalence studies using a Bayesian framework, including data simulation functions enabling the generation of serological surveys based on this models. This tool also provides a flexible prior specification syntax for the force of infection and the seroreversion rate, as well as methods to assess model convergence and comparison criteria along with useful visualisation functions.
Maintained by Zulma M. Cucunubá. Last updated 6 days ago.
antibodiesbayesian-methodsepidemiologyepiverseserological-surveysstan-languagecpp
19 stars 6.20 score 10 scripts