HIV incidence declines in a rural South African population: a G-imputation approach for inference.

ABSTRACT:

Background

Ad hoc assumptions about the unobserved infection event, which is known only to occur between the latest-negative and earliest-positive test dates, can lead to biased HIV incidence rate estimates. Using a G-imputation approach, we infer the infection dates from covariate data to estimate the HIV incidence rate in a hyper-endemic South African setting.

Methods

A large demographic surveillance system has annually tested a cohort of HIV-uninfected participants living in the KwaZulu-Natal province. Using this data, we estimated a cumulative baseline hazard function and the effects of time-dependent covariates on the interval censored infection dates. For each HIV-positive participant in the cohort, we derived a cumulative distribution function and sampled multiple inf

SUBMITTER: Vandormael A 

PROVIDER: S-EPMC7409400 | biostudies-literature | 2020 Aug

REPOSITORIES: biostudies-literature