Naomi: a new modelling tool for estimating HIV epidemic indicators at the district level in sub-Saharan Africa.

ABSTRACT:

Introduction

HIV planning requires granular estimates for the number of people living with HIV (PLHIV), antiretroviral treatment (ART) coverage and unmet need, and new HIV infections by district, or equivalent subnational administrative level. We developed a Bayesian small-area estimation model, called Naomi, to estimate these quantities stratified by subnational administrative units, sex, and five-year age groups.

Methods

Small-area regressions for HIV prevalence, ART coverage and HIV incidence were jointly calibrated using subnational household survey data on all three indicators, routine antenatal service delivery data on HIV prevalence and ART coverage among pregnant women, and service delivery data on the number of PLHIV receiving ART. Incidence was modelled by district

SUBMITTER: Eaton JW 

PROVIDER: S-EPMC8454682 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature