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dc.contributor.authorHaeuse, Emily
dc.contributor.authorSerfes, Audrey L
dc.contributor.authorCork, Michael A.
dc.contributor.authorKisa, Adnan
dc.contributor.authorYang, Mingyou
dc.contributor.authorAbbastabar, Hedayat
dc.contributor.authorHay, Simon I.
dc.contributor.authorKisa, Sezer
dc.contributor.authorAyanore, Martin Amogre
dc.contributor.authorDidarloo, Alireza
dc.contributor.authorOlakunde, Babayemi Oluwaseun
dc.contributor.authorSubsaharan Africa HIV Prev. Co, Local Burden of Disease
dc.date.accessioned2023-03-01T08:23:10Z
dc.date.available2023-03-01T08:23:10Z
dc.date.created2022-12-20T15:33:32Z
dc.date.issued2022
dc.identifier.citationBMC Medicine. 2022, 20:488.en_US
dc.identifier.issn1741-7015
dc.identifier.urihttps://hdl.handle.net/11250/3054839
dc.description.abstractBackground Human immunodeficiency virus and acquired immune deficiency syndrome (HIV/AIDS) is still among the leading causes of disease burden and mortality in sub-Saharan Africa (SSA), and the world is not on track to meet targets set for ending the epidemic by the Joint United Nations Programme on HIV/AIDS (UNAIDS) and the United Nations Sustainable Development Goals (SDGs). Precise HIV burden information is critical for effective geographic and epidemiological targeting of prevention and treatment interventions. Age- and sex-specific HIV prevalence estimates are widely available at the national level, and region-wide local estimates were recently published for adults overall. We add further dimensionality to previous analyses by estimating HIV prevalence at local scales, stratified into sex-specific 5-year age groups for adults ages 15–59 years across SSA. Methods We analyzed data from 91 seroprevalence surveys and sentinel surveillance among antenatal care clinic (ANC) attendees using model-based geostatistical methods to produce estimates of HIV prevalence across 43 countries in SSA, from years 2000 to 2018, at a 5 × 5-km resolution and presented among second administrative level (typically districts or counties) units. Results We found substantial variation in HIV prevalence across localities, ages, and sexes that have been masked in earlier analyses. Within-country variation in prevalence in 2018 was a median 3.5 times greater across ages and sexes, compared to for all adults combined. We note large within-district prevalence differences between age groups: for men, 50% of districts displayed at least a 14-fold difference between age groups with the highest and lowest prevalence, and at least a 9-fold difference for women. Prevalence trends also varied over time; between 2000 and 2018, 70% of all districts saw a reduction in prevalence greater than five percentage points in at least one sex and age group. Meanwhile, over 30% of all districts saw at least a five percentage point prevalence increase in one or more sex and age group. Conclusions As the HIV epidemic persists and evolves in SSA, geographic and demographic shifts in prevention and treatment efforts are necessary. These estimates offer epidemiologically informative detail to better guide more targeted interventions, vital for combating HIV in SSA.en_US
dc.language.isoengen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.subjectHIVen_US
dc.subjectsub-Saharan Africaen_US
dc.subjectAfrika sør for Saharaen_US
dc.subjectHIVen_US
dc.titleMapping age- and sex-specific HIV prevalence in adults in sub-Saharan Africa, 2000-2018en_US
dc.title.alternativeMapping age- and sex-specific HIV prevalence in adults in sub-Saharan Africa, 2000-2018en_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.source.volume20en_US
dc.source.journalBMC Medicineen_US
dc.identifier.doi10.1186/s12916-022-02639-z
dc.identifier.cristin2095894
dc.source.articlenumber488en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode2


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