Papa Moussa Diop

ORCID: 0000-0003-2315-0258
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About
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Research Areas
  • HIV, Drug Use, Sexual Risk
  • HIV/AIDS Research and Interventions
  • HIV/AIDS Impact and Responses
  • Leaf Properties and Growth Measurement
  • Sex work and related issues
  • HIV Research and Treatment
  • Smart Agriculture and AI
  • Spectroscopy and Chemometric Analyses
  • Healthcare Systems and Practices
  • Global Maternal and Child Health

University of the Ryukyus
2020-2023

Pour la Solidarité
2022

Ministère des Solidarités et de la Santé
2020-2021

Romain Silhol Mathieu Maheu‐Giroux Nirali Soni Arlette Simo Fotso Nicolas Rouveau and 92 more Anthony Vautier Clémence Doumenc-Aïdara Olivier Geoffroy Kouassi N’Guessan Younoussa Sidibé Odé Kanku Kabemba Papa Alioune Gueye Pauline Dama Ndeye Christinah Mukandavire Peter Vickerman Abdelaye Keita Cheikh Tidiane Ndour Joseph Larmarange Marie‐Claude Boily Elvis Amani Kéba Badiane Céline Bayac Anne Bekelynck Marie‐Claude Boily Sokhna Boye Guillaume Breton Marc d’Elbée Alice Desclaux Annabel Desgrées du Loû Papa Moussa Diop E. Ehui Graham F. Medley Kévin Jean Abdelaye Keita Arsène Kra Kouassi Odette Ky‐Zerbo Joseph Larmarange Mathieu Maheu‐Giroux Raoul Moh Rosine Mosso Cheikh Tidiane Ndour A. David Paltiel Dolorès Pourette Nicolas Rouveau Romain Silhol Arlette Simo Fotso Fern Terris‐Prestholt Métogara Mohamed Traoré Clémence Doumenc-Aïdara Olivier Geoffroy Odé Kanku Kabemba Anthony Vautier Armand Abokon Camille Anoma Annie Diokouri Blaise Kouamé Venance Kouakou Odette Koffi Alain Kpolo Josiane Tety Yacouba Traore Jules Bagendabanga Djelika Berthé Daouda Diakité Mahamadou Diakité Youssouf Diallo Minta Daouda Septime Hessou Saidou Kanambaye A Kanouté Bintou Dembélé Keïta Dramane Koné Mariam Koné Almoustapha Issiaka Maïga Aminata Saran Keita Fadiala Sidibé Madani Tall Adam Yattassaye Camara Abdoulaye Sanogo Idrissa Bâ Papa Amadou Niang Diallo Fatou Fall Ndèye Fatou Ngom Gueye Sidy Ndiaye Alassane Moussa Niang Oumar Samba Safiatou Thiam Nguissali Turpin Seydou Bouaré Cheick Sidi Camara Brou Alexis Kouadio Sophie Sarrassat Sow S Agnes Eponon Ehua Amélé Kouvahe Marie-Anne Montaufray Pauline Dama Ndeye

During 2019-21, the AutoTest VIH, Libre d'accéder à la connaissance de son Statut (ATLAS) programme distributed around 380 000 HIV self-testing kits to key populations, including female sex workers, men who have with men, and their partners, in Côte d'Ivoire, Mali, Senegal. We aimed estimate effects of ATLAS national scale-up self-test distribution on diagnosis, treatment coverage, incidence, HIV-related mortality.

10.1016/s2352-3018(24)00126-7 article EN cc-by The Lancet HIV 2024-07-08

Background: In West Africa, female sex workers are at increased risk of HIV acquisition and transmission. self-testing could be an effective tool to improve access frequency testing workers, their clients partners. This article explores perceptions regarding use the redistribution kits partners clients. Methods: Embedded within ATLAS, a qualitative study was conducted in Côte-d’Ivoire, Mali, Senegal 2020. Nine focus group discussions were conducted. A thematic analysis performed. Results:...

10.1177/17455057221092268 article EN cc-by-nc Women s Health 2022-01-01

We estimate the effects of ATLAS's HIV self-testing (HIVST) kit distribution on conventional testing, diagnoses, and antiretroviral treatment (ART) initiations in Côte d'Ivoire.Ecological study using routinely collected testing services program data.We used programmatic data recorded between third quarter 2019 first 2021, addition to from President's Emergency Plan for AIDS Relief dashboard. performed ecological time series regression linear mixed models. Results are presented per 1000 HIVST...

10.1097/qad.0000000000003328 article EN cc-by AIDS 2022-07-18

Background: The ATLAS program promotes and implements HIVST in Côte d'Ivoire, Mali, Senegal. Priority groups include members of key populations—female sex workers (FSW), men having with (MSM), people who use drugs (PWUD)—and their partners relatives. distribution activities, which began mid-2019, were impacted early 2020 by the COVID-19 pandemic. Methods: This article, focusing only on outreach activities among populations, analyzes quantitative, qualitative data collected during...

10.3389/fpubh.2021.653565 article EN cc-by Frontiers in Public Health 2021-07-20

This paper presents a machine learning approach to automatically classifying post-harvest vegetal species. Color images of species were applied convolutional neural networks (CNNs) and support vector (SVM) classifiers. We focused on okra as the target classified it into two quality types. However, our could also be other The solution consists several components, each design process its combinations are essential for classification quality. Therefore, we carefully investigated their effects...

10.3390/agriengineering5020063 article EN cc-by AgriEngineering 2023-06-01

Abstract Background HIV self-testing (HIVST) is recommended by the World Health Organization as an additional testing approach. Since 2019, it has been implemented in Côte d’Ivoire through ATLAS project, including primary and secondary distribution channels. While discreet flexible nature of HIVST makes appealing for users, also monitoring estimation population-level programmatic impact programs challenging. We used routinely collected data to estimate effects ATLAS’ on access testing,...

10.1101/2022.02.08.22270670 preprint EN cc-by-nd medRxiv (Cold Spring Harbor Laboratory) 2022-02-09

Background: HIV self-testing (HIVST) is recommended by the World Health Organization as an additional testing approach. Since 2019, it has been implemented in Côte d’Ivoire through ATLAS project, including primary and secondary distribution channels. While discreet flexible nature of HIVST makes appealing for users, also monitoring estimation population-level programmatic impact programs challenging. We used routinely collected data to estimate effects ATLAS’ on access testing, conventional...

10.2139/ssrn.4025934 article EN SSRN Electronic Journal 2022-01-01
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