HIV-Prevalence Mapping Using Small Area Estimation in Kenya, Tanzania, and Mozambique at the First Sub-National Level.

ABSTRACT:

Background

Local estimates of HIV-prevalence provide information that can be used to target interventions and consequently increase the efficiency of resources. This enhanced allocation can lead to better health outcomes, including the control of the disease spread, and for more people.

Methods

In this study, we used the DHS data phase V to estimate HIV prevalence at the first-subnational level in Kenya, Tanzania, and Mozambique. We fitted the data to a spatial random effect intrinsic conditional autoregressive (ICAR) model to smooth the outcome. Further, we used a sampling specification from a multistage cluster design.

Results

We found that Nyanza (P_i = 13.6%) and Nairobi (P_i = 7.1%) in Kenya, Iringa (P_i = 15.4%)

SUBMITTER: Saldarriaga EM 

PROVIDER: S-EPMC8485867 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature