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dc.rights.licenseopenen_US
dc.contributor.authorONOVO, Amobi
dc.contributor.authorKALAIWO, Abiye
dc.contributor.authorKATBI, Moses
dc.contributor.authorOGORRY, Otse
hal.structure.identifierBordeaux population health [BPH]
dc.contributor.authorJAQUET, Antoine
dc.contributor.authorKEISER, Olivia
dc.date.accessioned2021-07-07T11:57:13Z
dc.date.available2021-07-07T11:57:13Z
dc.date.issued2021-05-24
dc.identifier.issn2369-2960en_US
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/95014
dc.description.abstractEnBACKGROUND: The 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. OBJECTIVE: We aimed to measure HIV seroprevalence and identify hotspots of HIV infection among MSM and PWID in Nigeria. METHODS: We 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. RESULTS: MSM 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. CONCLUSIONS: This 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.
dc.language.isoENen_US
dc.subject.enKey population
dc.subject.enMSM
dc.subject.enPWID
dc.subject.enHIV seroprevalence
dc.subject.enHIV testing modality
dc.subject.enHotspots
dc.subject.enGeospatial
dc.subject.enGetis-Ord-Gi*
dc.subject.enIBBSS
dc.subject.enNigeria
dc.title.enGeographical Disparities in HIV Seroprevalence Among Men Who Have Sex with Men and People Who Inject Drugs in Nigeria: Exploratory Spatial Data Analysis
dc.typeArticle de revueen_US
dc.identifier.doi10.2196/19587en_US
dc.subject.halSciences du Vivant [q-bio]/Santé publique et épidémiologieen_US
dc.identifier.pubmed34028360en_US
bordeaux.journalJMIR Public Health and Surveillanceen_US
bordeaux.pagee19587en_US
bordeaux.volume7en_US
bordeaux.hal.laboratoriesBordeaux Population Health Research Center (BPH) - UMR 1219en_US
bordeaux.issue5en_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.institutionINSERMen_US
bordeaux.teamIDLICen_US
bordeaux.peerReviewedouien_US
bordeaux.inpressnonen_US
hal.identifierhal-03280526
hal.version1
hal.date.transferred2021-07-07T11:57:16Z
hal.exporttrue
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