Spatiotemporal modelling and mapping of cervical cancer incidence among HIV positive women in South Africa: a nationwide study.

ABSTRACT:

Background

Disparities in invasive cervical cancer (ICC) incidence exist globally, particularly in HIV positive women who are at elevated risk compared to HIV negative women. We aimed to determine the spatial, temporal, and spatiotemporal incidence of ICC and the potential risk factors among HIV positive women in South Africa.

Methods

We included ICC cases in women diagnosed with HIV from the South African HIV cancer match study during 2004-2014. We used the Thembisa model, a mathematical model of the South African HIV epidemic to estimate women diagnosed with HIV per municipality, age group and calendar year. We fitted Bayesian hierarchical models, using a reparameterization of the Besag-York-Mollié to capture spatial autocorrelation, to estimate the spatiotemporal distribu

SUBMITTER: Tafadzwa D 

PROVIDER: S-EPMC8244168 | biostudies-literature | 2021 Jun

REPOSITORIES: biostudies-literature