{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,9]],"date-time":"2026-08-09T08:42:55Z","timestamp":1786264975670,"version":"build-2736575974"},"reference-count":52,"publisher":"Oxford University Press (OUP)","issue":"4","funder":[{"DOI":"10.13039\/100000060","name":"National Institute of Allergy and Infectious Diseases","doi-asserted-by":"publisher","award":["U01AI075115"],"award-info":[{"award-number":["U01AI075115"]}],"id":[{"id":"10.13039\/100000060","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000060","name":"National Institute of Allergy and Infectious Diseases","doi-asserted-by":"publisher","award":["R01AI087409"],"award-info":[{"award-number":["R01AI087409"]}],"id":[{"id":"10.13039\/100000060","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000060","name":"National Institute of Allergy and Infectious Diseases","doi-asserted-by":"publisher","award":["U01AI100031"],"award-info":[{"award-number":["U01AI100031"]}],"id":[{"id":"10.13039\/100000060","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,6,11]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:sec>\n                  <jats:title>Introduction<\/jats:title>\n                  <jats:p>To prioritize and tailor interventions for ending AIDS by 2030 in Africa, it is important to characterize the population groups in which human immunodeficiency virus (HIV) viraemia is concentrating.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Methods<\/jats:title>\n                  <jats:p>We analysed HIV testing and viral load data collected between 2013 and 2019 from the open, population-based Rakai Community Cohort Study in Uganda, to estimate HIV seroprevalence and population viral suppression over time by gender, 1-year age bands, and residence in inland and fishing communities. All estimates were standardized to the underlying source population by using census data. We then assessed 95\u201395\u201395 targets in their ability to identify the populations in which viraemia is concentrated.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Results<\/jats:title>\n                  <jats:p>Following the implementation of Universal Test and Treat, the proportion of individuals with viraemia decreased from 4.9% (4.6%\u20135.3%) in 2013 to 1.9% (1.7%\u20132.2%) in 2019 in inland communities and from 19.1% (18.0%\u201320.4%) in 2013 to 4.7% (4.0%\u20135.5%) in 2019 in fishing communities. Viraemia did not concentrate in the age and gender groups furthest from achieving 95\u201395\u201395 targets. Instead, in both inland and fishing communities, women aged 25\u201329\u00a0years and men aged 30\u201334\u00a0years were the 5-year age groups that contributed most to population-level viraemia in 2019, despite these groups being close to or having already achieved 95\u201395\u201395 targets.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Conclusion<\/jats:title>\n                  <jats:p>The 95\u201395\u201395 targets provide a useful benchmark for monitoring progress towards HIV epidemic control, but do not contextualize underlying population structures and so may direct interventions towards groups that represent a marginal fraction of the population with viraemia.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1093\/ije\/dyaf126","type":"journal-article","created":{"date-parts":[[2025,6,27]],"date-time":"2025-06-27T07:57:44Z","timestamp":1751011064000},"source":"Crossref","is-referenced-by-count":1,"title":["Age and gender profiles of HIV infection burden and viraemia: novel metrics for HIV epidemic control in African populations with high antiretroviral therapy coverage"],"prefix":"10.1093","volume":"54","author":[{"given":"Andrea","family":"Brizzi","sequence":"first","affiliation":[{"name":"Department of Mathematics, Imperial College London , London,","place":["United Kingdom"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Joseph","family":"Kagaayi","sequence":"additional","affiliation":[{"name":"Rakai Health Sciences Program , Kalisizo,","place":["Uganda"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Robert","family":"Ssekubugu","sequence":"additional","affiliation":[{"name":"Rakai Health Sciences Program , Kalisizo,","place":["Uganda"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lucie","family":"Abeler-D\u00f6rner","sequence":"additional","affiliation":[{"name":"Big Data Institute, University of Oxford , Oxford,","place":["United 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