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Objective: Viral failure in people with HIV (PWH) may be influenced by multiple sociobehavioral, clinical, and context-specific factors, and supervised learning approaches may identify novel predictors. We compared the performance of two supervised learning algorithms to predict viral failure in four African countries., Design: Cohort study., Methods: The African Cohort Study is an ongoing, longitudinal cohort enrolling PWH at 12 sites in Uganda, Kenya, Tanzania, and Nigeria. Participants underwent physical examination, medical history-taking, medical record extraction, sociobehavioral interviews, and laboratory testing. In cross-sectional analyses of enrollment data, viral failure was defined as a viral load at least 1000 copies/ml among participants on antiretroviral therapy (ART) for at least 6 months. We compared the performance of lasso-type regularized regression and random forests by calculating area under the curve (AUC) and used each to identify factors associated with viral failure; 94 explanatory variables were considered., Results: Between January 2013 and December 2020, 2941 PWH were enrolled, 1602 had been on antiretroviral therapy (ART) for at least 6 months, and 1571 participants with complete case data were included. At enrollment, 190 (12.0%) had viral failure. The lasso regression model was slightly superior to the random forest in its ability to identify PWH with viral failure (AUC: 0.82 vs. 0.75). Both models identified CD4 + count, ART regimen, age, self-reported ART adherence and duration on ART as important factors associated with viral failure., Conclusion: These findings corroborate existing literature primarily based on hypothesis-testing statistical approaches and help to generate questions for future investigations that may impact viral failure., (Copyright © 2023 Wolters Kluwer Health, Inc. All rights reserved.)

Polygyny has been identified both as a 'benign' form of concurrency and as the cultural basis of concurrent partnerships that are considered important drivers of the HIV epidemic in sub-Saharan Africa. This paper investigates the changing cultural and economic dynamics of polygyny in concurrency in Iringa, Tanzania, a region with traditions of polygyny and high prevalence of HIV. Our analysis of focus group discussions, in-depth interviews and key informant interviews indicate that contemporary concurrent partnerships differ from regional traditions of polygyny. Whereas in the past, polygyny reflected men's and their kin group's wealth and garnered additional prestige, polygyny today is increasingly seen as a threat to health, and as leading to poverty. Nevertheless, participants evoked the social prestige of polygyny to explain men's present-day concurrency, even outside the bounds of marriage, and despite continued social prohibitions against extramarital affairs. Difficult economic conditions, combined with this prestige, made it easier for men to engage in concurrency without the considerable obligations to wives and children in polygyny. Local economic conditions also compelled women to seek concurrent partners to meet basic needs and to access consumer goods, but risked greater moral judgement than men, especially if deemed to have excessive 'desire' for money.