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Akullian A, Akulu R, Aliyu G, Anam F, Guichard AC, Ayles H, Baggaley R, Bansi-Matharu L, Baptiste SL, Bershteyn A, Cambiano V, Carter A, Chotun N, Citron DT, Crowley S, Dalal S, Edun O, Fraser C, Galvani AP, Garnett GP, Glabius R, Godfrey-Faussett P, Grabowski MK, Gray GE, Hargreaves JR, Imai-Eaton JW, Johnson LF, Kaftan D, Kagaayi J, Kataika E, Kilonzo N, Kirungi WL, Korenromp EL, Kouton MH, Lucie Abeler-Dörner L, Mahy M, Mangal TD, Martin-Hughes R, Matsikure S, Meyer-Rath G, Mishra S, Mmelesi M, Mohammed A, Moolla H, Morrison MR, Moyo S, Mudimu E, Mugabe M, Murenga M, Ng'ang'a J, Olaifa Y, Phillips AN, Pickles MR, Probert WJ, Ramaabya D, Rautenbach SP, Revill P, Shakarishvili A, Sheneberger R, Smith J, Stegling C, Stover J, Tanser F, Taramusi I, ten Brink D, Whittles LK, Zaidi I. The HIV response beyond 2030: preparing for decades of sustained HIV epidemic control in eastern and southern Africa. Lancet 2024; 404:638-641. [PMID: 38782003 DOI: 10.1016/s0140-6736(24)00980-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/29/2024] [Accepted: 05/09/2024] [Indexed: 05/25/2024]
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Brizzi A, Kagaayi J, Ssekubugu R, Abeler-Dörner L, Blenkinsop A, Bonsall D, Chang LW, Fraser C, Galiwango RM, Kigozi G, Kyle I, Monod M, Nakigozi G, Nalugoda F, Rosen JG, Laeyendecker O, Quinn TC, Grabowski MK, Reynolds SJ, Ratmann O. Age and gender profiles of HIV infection burden and viraemia: novel metrics for HIV epidemic control in African populations with high antiretroviral therapy coverage. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.04.21.24306145. [PMID: 38712115 PMCID: PMC11071606 DOI: 10.1101/2024.04.21.24306145] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/08/2024]
Abstract
Introduction To prioritize and tailor interventions for ending AIDS by 2030 in Africa, it is important to characterize the population groups in which HIV viraemia is concentrating. Methods We analysed HIV testing and viral load data collected between 2013-2019 from the open, population-based Rakai Community Cohort Study (RCCS) in Uganda, to estimate HIV seroprevalence and population viral suppression over time by gender, one-year age bands and residence in inland and fishing communities. All estimates were standardized to the underlying source population using census data. We then assessed 95-95-95 targets in their ability to identify the populations in which viraemia concentrates. Results Following the implementation of Universal Test and Treat, the proportion of individuals with viraemia decreased from 4.9% (4.6%-5.3%) in 2013 to 1.9% (1.7%-2.2%) in 2019 in inland communities and from 19.1% (18.0%-20.4%) in 2013 to 4.7% (4.0%-5.5%) in 2019 in fishing communities. Viraemia did not concentrate in the age and gender groups furthest from achieving 95-95-95 targets. Instead, in both inland and fishing communities, women aged 25-29 and men aged 30-34 were the 5-year age groups that contributed most to population-level viraemia in 2019, despite these groups being close to or had already achieved 95-95-95 targets. Conclusions The 95-95-95 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.
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Affiliation(s)
- Andrea Brizzi
- Department of Mathematics, Imperial College London, London, United Kingdom
| | | | | | | | | | - David Bonsall
- Big Data Institute, University of Oxford, Oxford, United Kingdom
- Wellcome Centre for Human Genomics, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom
| | - Larry W. Chang
- Rakai Health Sciences Program, Kalisizo, Uganda
- Division of Infectious Diseases, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Christophe Fraser
- Big Data Institute, University of Oxford, Oxford, United Kingdom
- Pandemic Sciences Institute, University of Oxford, Oxford, United Kingdom
| | | | | | - Imogen Kyle
- Department of Mathematics, Imperial College London, London, United Kingdom
| | - Mélodie Monod
- Department of Mathematics, Imperial College London, London, United Kingdom
| | | | | | - Joseph G. Rosen
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Oliver Laeyendecker
- Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA
- Department of Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
| | - Thomas C. Quinn
- Division of Infectious Diseases, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
- Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA
| | - M. Kate Grabowski
- Rakai Health Sciences Program, Kalisizo, Uganda
- Division of Infectious Diseases, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
- Department of Pathology, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
| | - Steven J. Reynolds
- Rakai Health Sciences Program, Kalisizo, Uganda
- Division of Infectious Diseases, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
- Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA
| | - Oliver Ratmann
- Department of Mathematics, Imperial College London, London, United Kingdom
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Popoola VO, Kagaayi J, Ssekasanvu J, Ssekubugu R, Kigozi G, Ndyanabo A, Nalugoda F, Chang LW, Lutalo T, Tobian AAR, Kabatesi D, Alamo S, Mills LA, Kigozi G, Wawer MJ, Santelli J, Gray RH, Reynolds SJ, Serwadda D, Lessler J, Grabowski MK. HIV epidemiologic trends among occupational groups in Rakai, Uganda: A population-based longitudinal study, 1999-2016. PLOS GLOBAL PUBLIC HEALTH 2024; 4:e0002891. [PMID: 38377078 PMCID: PMC10878534 DOI: 10.1371/journal.pgph.0002891] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Accepted: 01/12/2024] [Indexed: 02/22/2024]
Abstract
Certain occupations have been associated with heightened risk of HIV acquisition and spread in sub-Saharan Africa, including female bar and restaurant work and male transportation work. However, data on changes in population prevalence of HIV infection and HIV incidence within occupations following mass scale-up of African HIV treatment and prevention programs is very limited. We evaluated prospective data collected between 1999 and 2016 from the Rakai Community Cohort Study, a longitudinal population-based study of 15- to 49-year-old persons in Uganda. Adjusted prevalence risk ratios for overall, treated, and untreated, prevalent HIV infection, and incidence rate ratios for HIV incidence with 95% confidence intervals were estimated using Poisson regression to assess changes in HIV outcomes by occupation. Analyses were stratified by gender. There were 33,866 participants, including 19,113 (56%) women. Overall, HIV seroprevalence declined in most occupational subgroups among men, but increased or remained mostly stable among women. In contrast, prevalence of untreated HIV substantially declined between 1999 and 2016 in most occupations, irrespective of gender, including by 70% among men (12.3 to 4.2%; adjPRR = 0.30; 95%CI:0.23-0.41) and by 78% among women (14.7 to 4.0%; adjPRR = 0.22; 95%CI:0.18-0.27) working in agriculture, the most common self-reported primary occupation. Exceptions included men working in transportation. HIV incidence similarly declined in most occupations, but there were no reductions in incidence among female bar and restaurant workers, women working in local crafts, or men working in transportation. In summary, untreated HIV infection and HIV incidence have declined within most occupational groups in Uganda. However, women working in bars/restaurants and local crafts and men working in transportation continue to have a relatively high burden of untreated HIV and HIV incidence, and as such, should be considered priority populations for HIV programming.
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Affiliation(s)
- Victor O. Popoola
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America
| | - Joseph Kagaayi
- Rakai Health Sciences Program, Entebbe, Uganda
- Makerere University School of Public Health, Kampala, Uganda
| | - Joseph Ssekasanvu
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America
- Rakai Health Sciences Program, Entebbe, Uganda
| | | | | | | | | | - Larry W. Chang
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America
- Rakai Health Sciences Program, Entebbe, Uganda
- Department of Medicine, Division of Infectious Diseases, Johns Hopkins School of Medicine, Baltimore, Maryland, United States of America
| | - Tom Lutalo
- Rakai Health Sciences Program, Entebbe, Uganda
| | - Aaron A. R. Tobian
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America
- Department of Pathology, Johns Hopkins School of Medicine, Baltimore, Maryland, United States of America
| | - Donna Kabatesi
- Division of Global HIV and TB, Centers for Disease Control and Prevention Uganda, Kampala, Uganda
| | - Stella Alamo
- Division of Global HIV and TB, Centers for Disease Control and Prevention Uganda, Kampala, Uganda
| | - Lisa A. Mills
- Division of Global HIV and TB, Centers for Disease Control and Prevention Uganda, Kampala, Uganda
| | | | - Maria J. Wawer
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America
- Rakai Health Sciences Program, Entebbe, Uganda
| | - John Santelli
- Department of Population and Family Health and Pediatrics, Columbia University, New York, New York, United States of America
| | - Ronald H. Gray
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America
- Rakai Health Sciences Program, Entebbe, Uganda
| | - Steven J. Reynolds
- Department of Medicine, Division of Infectious Diseases, Johns Hopkins School of Medicine, Baltimore, Maryland, United States of America
- Laboratory of Immunoregulation, Division of Intramural Research, National Institute for Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, United States of America
| | - David Serwadda
- Rakai Health Sciences Program, Entebbe, Uganda
- Makerere University School of Public Health, Kampala, Uganda
| | - Justin Lessler
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America
- Department of Epidemiology, UNC Gillings School of Global Public Health, Chapel Hill, North Carolina, United States of America
- Carolina Population Center, Chapel Hill, North Carolina, United States of America
| | - M. Kate Grabowski
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America
- Rakai Health Sciences Program, Entebbe, Uganda
- Department of Pathology, Johns Hopkins School of Medicine, Baltimore, Maryland, United States of America
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