ArticleJMIR public health and surveillance2021
Geographical Disparities in HIV Seroprevalence Among Men Who Have Sex with Men and People Who Inject Drugs in Nigeria: Exploratory Spatial Data Analysis.
Article in JMIR public health and surveillance, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 9 citations in OpenAlex.
- Prevalence and uptake of HIV services among men who have sex with men in Northern Nigeria.BMJ global health · 2026Article
- Assessing a Syndemic of Discrimination, Material Insecurity, Depression, Substance Use, and Violence Among Sexual and Gender Minorities in Nigeria Using Mixed Methods.AIDS and behavior · 2026Article
- Factors associated with viral load testing and viral suppression among HIV-positive female sex workers in Nigeria.PloS one · 2024Article
- Risk factors of HIV/AIDS among men who have sex with men in Akwa Ibom State, Nigeria.Journal of preventive medicine and hygiene · 2023Article
- Diagnosis and case finding according to key partner risk populations of people living with HIV in Nigeria: A retrospective analysis of community-led index partner testing services.EClinicalMedicine · 2022Article
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Authors and funding
6 authors at 3 institutions in 3 countries.
Funding
Abstract
backgroundThe assessment of geographical heterogeneity of HIV among men who have sex with men (MSM) and people who inject drugs (PWID) can usefully inform targeted HIV prevention and care strategies.
objectiveWe aimed to measure HIV seroprevalence and identify hotspots of HIV infection among MSM and PWID in Nigeria.
methodsWe included all MSM and PWID accessing HIV testing services across 7 prioritized states (Lagos, Nasarawa, Akwa Ibom, Cross Rivers, Rivers, Benue, and the Federal Capital Territory) in 3 geographic regions (North Central, South South, and South West) between October 1, 2016, and September 30, 2017. We extracted data from national testing registers, georeferenced all HIV test results aggregated at the local government area level, and calculated HIV seroprevalence. We calculated and compared HIV seroprevalence from our study to the 2014 integrated biological and behavioural surveillance survey and used global spatial autocorrelation and hotspot analysis to highlight patterns of HIV infection and identify areas of significant clustering of HIV cases.
resultsMSM and PWID had HIV seroprevalence rates of 12.14% (3209/26,423) and 11.88% (1126/9474), respectively. Global spatial autocorrelation Moran I statistics revealed a clustered distribution of HIV infection among MSM and PWID with a <5% and <1% likelihood that this clustered pattern could be due to chance, respectively. Significant clusters of HIV infection (Getis-Ord-Gi* statistics) confined to the North Central and South South regions were identified among MSM and PWID. Compared to the 2014 integrated biological and behavioural surveillance survey, our results suggest an increased HIV seroprevalence among PWID and a substantial decrease among MSM.
conclusionsThis study identified geographical areas to prioritize for control of HIV infection among MSM and PWID, thus demonstrating that geographical information system technology is a useful tool to inform public health planning for interventions targeting epidemic control of HIV infection.
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