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Age and gender profiles of HIV infection burden and viraemia: novel metrics for HIV epidemic control in African populations with high antiretroviral therapy coverage.
Brizzi, Andrea; Kagaayi, Joseph; Ssekubugu, Robert; Abeler-Dörner, Lucie; Blenkinsop, Alexandra; Bonsall, David; Chang, Larry W; Fraser, Christophe; Galiwango, Ronald M; Kigozi, Godfrey; Kyle, Imogen; Monod, Mélodie; Nakigozi, Gertrude; Nalugoda, Fred; Rosen, Joseph G; Laeyendecker, Oliver; Quinn, Thomas C; Grabowski, M Kate; Reynolds, Steven J; Ratmann, Oliver.
Afiliação
  • Brizzi A; Department of Mathematics, Imperial College London, London, United Kingdom.
  • Kagaayi J; Rakai Health Sciences Program, Kalisizo, Uganda.
  • Ssekubugu R; Rakai Health Sciences Program, Kalisizo, Uganda.
  • Abeler-Dörner L; Big Data Institute, University of Oxford, Oxford, United Kingdom.
  • Blenkinsop A; Department of Mathematics, Imperial College London, London, United Kingdom.
  • Bonsall D; Big Data Institute, University of Oxford, Oxford, United Kingdom.
  • Chang LW; Wellcome Centre for Human Genomics, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom.
  • Fraser C; Division of Infectious Diseases, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.
  • Galiwango RM; Rakai Health Sciences Program, Kalisizo, Uganda.
  • Kigozi G; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
  • Kyle I; Big Data Institute, University of Oxford, Oxford, United Kingdom.
  • Monod M; Pandemic Sciences Institute, University of Oxford, Oxford, United Kingdom.
  • Nakigozi G; Rakai Health Sciences Program, Kalisizo, Uganda.
  • Nalugoda F; Rakai Health Sciences Program, Kalisizo, Uganda.
  • Rosen JG; Department of Mathematics, Imperial College London, London, United Kingdom.
  • Laeyendecker O; Department of Mathematics, Imperial College London, London, United Kingdom.
  • Quinn TC; Rakai Health Sciences Program, Kalisizo, Uganda.
  • Grabowski MK; Rakai Health Sciences Program, Kalisizo, Uganda.
  • Reynolds SJ; Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
  • Ratmann O; Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA.
medRxiv ; 2024 Apr 22.
Article em En | MEDLINE | ID: mdl-38712115
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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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: MedRxiv Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: MedRxiv Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Reino Unido
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