Spatiotemporal Distribution of HIV Cases in Ghana: A Regional Assessment Using Five Years of Routine Surveillance Data, 2020-2024

Background: The Human Immunodeficiency Virus and Acquired Immunodeficiency Syndrome (HIV/AIDS) remain a major public health concern in Ghana. Despite sustained progress in treatment and prevention, regional prevalence variations persist, driven by healthcare access, urbanization, and socio-economic factors. This study identifies trends and hotspots to guide effective HIV surveillance and control strategies in Ghana. Methods: A retrospective ecological study was conducted using secondary HIV data confirmed by laboratory testing, from the Ghana District Health Information Management System (DHIMS2) for the period 2020 to 2024. HIV prevalence was calculated as the number of confirmed cases per 100,000 population, using denominators from the Ghana Statistical Service 2021 Population and Housing Census. Spatiotemporal variation in prevalence was visualized using choropleth maps. Global Morans Index examined whether overall spatial dependency existed, followed by local indicators of spatial association (LISA), comprising local Morans I and the Getis-Ord Gi* statistic, to identify local clusters, outliers, and hotspots or coldspots. Results: National HIV prevalence per 100,000 population rose from 0.68 in 2020 to 0.84 in 2024. The highest burden was in the southern and middle belt regions: Western North (2.16), Bono East (1.71), Eastern (1.30), Volta (1.06), and Ahafo (1.01). Northern regions remained consistently low throughout the study period, with Northern (0.32), Upper East (0.26), and Savannah (0.30) recording averages below 0.50 per 100,000. Global Morans Index indicated a dispersed pattern in 2020 (I = -0.43), spatially random pattern between 2021 and 2023, and weak positive spatial association in 2024 (I = 0.22). Conclusions: Regional disparity in HIV prevalence in Ghana is widening, with greater burden concentrated in the more urbanized southern regions. Interventions guided by surveillance data and tailored to specific regions, including strengthened testing infrastructure and a more equitable distribution of health resources, are needed to curb transmission and support HIV in Ghana and the AIDS control programme. Keywords: HIV, AIDS, spatiotemporal analysis, Morans I, Getis-Ord Gi*, Ghana