The impact of past HIV interventions and diagnosis gaps on new HIV acquisitions, transmissions, and HIV-related deaths in Côte d’Ivoire, Mali, and Senegal

Author:

Silhol Romain1,Maheu-Giroux Mathieu2,Soni Nirali1,Fotso Arlette Simo34,Rouveau Nicolas3,Vautier Anthony5,Doumenc-Aïdara Clémence6,Geoffroy Olivier7,N’Guessan Kouassi Noël7,Sidibé Younoussa8,Kabemba Odé Kanku8,Gueye Papa Alioune6,Ndeye Pauline Dama6,Mukandavire Christinah910,Vickerman Peter11,Keita Abdelaye12,Ndour Cheikh Tidiane13,Ehui Eboi14,Larmarange Joseph34,Boily Marie-Claude1,

Affiliation:

1. MRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, UK

2. Department of Epidemiology and Biostatistics, School of Population and Global Health, Faculty of Medicine and Health Sciences, McGill University, Montréal, QC, Canada

3. Centre Population & Développement, Université Paris Cité, IRD, Inserm, Paris

4. Institut National d’Études Démographiques, INED, Aubervilliers

5. Solidarité Thérapeutique et Initiatives pour la Santé, Solthis, Paris, France

6. Solidarité Thérapeutique et Initiatives pour la Santé, Solthis, Dakar, Sénégal

7. Solidarité Thérapeutique et Initiatives pour la Santé, Solthis, Abidjan, Côte d’Ivoire

8. Solidarité Thérapeutique et Initiatives pour la Santé, Solthis, Bamako, Mali

9. Department of Epidemiology and Data Science, Coalition for Epidemic Preparedness and Innovations, London, UK

10. School of Mathematics and Data Science, Emirates Aviation University, Dubai, United Arab Emirates

11. Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK

12. Institut National de Santé Publique (INSP), Bamako, Mali

13. Division de Lutte contre le Sida et les IST, Ministère de la Santé et de l’Action Sociale Institut d’Hygiène Sociale, Dakar, Sénégal

14. Programme National de Lutte contre le Sida, Abidjan, Côte d’Ivoire.

Abstract

Objectives: To estimate the epidemiological impact of past HIV interventions and the magnitude and contribution of undiagnosed HIV among different risk groups on new HIV acquisitions in Côte d’Ivoire, Mali and Senegal. Design: HIV transmission dynamic models among the overall population and key populations [female sex workers (FSW), their clients, and MSM]. Methods: Models were independently parameterized and calibrated for each set of country-specific demographic, behavioural, and epidemiological data. We estimated the fraction of new HIV infections over 2012–2021 averted by condom use and antiretroviral therapy (ART) uptake among key populations and non-key populations, the direct and indirect contribution of specific groups to new infections [transmission population-attributable fraction (tPAF)] over 2012–2021 due to prevention gaps, and the distribution of undiagnosed people with HIV (PWH) by risk group in January 2022 and their tPAF over 2022–2031. Results: Condom use and ART may have averted 81–88% of new HIV infections over 2012–2021 across countries, mostly due to condom use by key population. The tPAF of all key populations combined over 2012–2021 varied between 27% (Côte d’Ivoire) and 79% (Senegal). Male key populations (clients of FSW and MSM) contributed most to new infections (>60% in Mali and Senegal) owing to their higher HIV prevalence and larger prevention gaps. In 2022, men represented 56% of all PWH with an undiagnosed infection in Côte d’Ivoire (male key populations = 15%), 46% in Mali (male key populations = 23%), and 69% in Senegal (male key populations = 55%). If HIV testing and ART initiation rates remain at current levels, 20% of new HIV infections could be due to undiagnosed key populations living with HIV in Côte d’Ivoire over 2022–2031, 53% in Mali, and 65% in Senegal. Conclusion: Substantial HIV diagnosis gaps remain in Western Africa, especially among male key populations. Addressing these gaps is key to impacting the HIV epidemics in the region and achieving the goal of ending AIDS by 2030.

Publisher

Ovid Technologies (Wolters Kluwer Health)

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