Extensions to Bayesian generalized linear mixed effects models for household tuberculosis transmission.

ABSTRACT: Household contact studies, a mainstay of tuberculosis transmission research, often assume that tuberculosis-infected household contacts of an index case were infected within the household. However, strain genotyping has provided evidence against this assumption. Understanding the household versus community infection dynamic is essential for designing interventions. The misattribution of infection sources can also bias household transmission predictor estimates. We present a household-community transmission model that estimates the probability of community infection, that is, the probability that a household contact of an index case was actually infected from a source outside the home and simultaneously estimates transmission predictors. We show through simulation that our method accurately

SUBMITTER: McIntosh AI 

PROVIDER: S-EPMC5505735 | biostudies-literature | 2017 Jul

REPOSITORIES: biostudies-literature