A5005393553- 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
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.
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:...
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...
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...
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...
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,...
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...