Machine Learning and Digital Health Interventions

Risk Assessment Tools

Project Dates:
07/2023 - 06/2025

Role:
Principal Investigator

Funder:
NIMH
R21MH134750

Project Dates:
04/2021 - 03/2024

Role:
Principal Investigator

Funder:
NIMH
R21MH125705

Developing a risk assessment tool to identify men at highest risk of HIV acquisition in sub-Saharan Africa: a regionally representative analysis using machine learning methods

Men in Sub-Saharan Africa are at high risk for HIV acquisition. Although there are several biomedical HIV prevention strategies available for reducing HIV acquisition, it is not feasible to provide biomedical HIV prevention to all of the men in the region. Our team developed a risk assessment tool to identify men who would be most likely to benefit from biomedical HIV prevention.

Developing a risk assessment tool to identify HIV-uninfected adolescent girls and young women at highest risk for HIV infection: a key step for targeted biomedical HIV prevention

Young women 15-24 years old are at high risk for HIV acquisition in Sub-Saharan Africa. Tenofovir-based oral pre-exposure prophylaxis (PrEP) is a promising intervention for reducing HIV acquisition in this group, but it is not feasible, economical, or necessary to provide PrEP to all 100 million young women in the region. This research developed a tool to identify subsets of young women who would benefit most from PrEP.

    1. Rosenberg NE, Shook-Sa BE, Young AM, Zou Y, Stranix-Chibanda L, Yotebieng M, Sam-Agudu NA, Phiri SJ, Mutale W, Bekker LG, Charurat ME, Moyo S, Zuma K, Justman J, Hudgens MG, Chi BH. An HIV-1 risk assessment tool for women aged 15-49 in African countries: A pooled analysis across 15 nationally representative surveys. Clin Infect Dis. 2024 Apr 24:ciae211. doi: 10.1093/cid/ciae211. Epub ahead of print. PMID: 38657086. [PubMed]

    2. Rosenberg NE, Shook-Sa BE, Liu M, Stranix-Chibanda L, Yotebieng M, Sam-Agudu NA, Hudgens MG, Phiri SJ, Mutale W, Bekker LG, Moyo S, Zuma K, Charurat ME, Justman J, Chi BH. Adult HIV-1 incidence across 15 high-burden countries in sub-Saharan Africa from 2015 to 2019: a pooled analysis of nationally representative data. Lancet HIV. 2023 Mar;10(3):e175-e185. doi: 10.1016/S2352-3018(22)00328-9. Epub 2023 Jan 23. PMID: 36702151; PMCID: PMC10126805. [Full Text]

    3. Rosenberg NE, Shook-Sa B, Young M, Zou Y, Stranix-Chibanda, Yotebieng M, Sam-Agudu N, Bekker LG, Moyo S, Charurat M, Justman J, Hudgens M, Chi BH. An HIV risk assessment tool for women aged 15-49 in African countries: A machine-learning approach across 15 pooled nationally representative surveys, Conference on Retroviruses and Opportunistic Infections, February 4-7, 2024 (poster presentation).

    4. Rosenberg NE, Young A, Liu M, Shook-Sa B, Sam-Agudu N, Stranix-Chibanda L, Yotebieng M, Charurat ME, Justman JE, Chi B. Identifying women at highest risk for HIV acquisition across sub-Saharan Africa: A risk score based on machine-learning methods, AIDS 2022, July 29-Aug 2, 2022 (poster presentation).

    5. Rosenberg NE, Shook-Sa B, Liu M, Stranix-Chibanda L, Yotebieng M, Sam-Agudu N, Phiri SJ, Mutale W, Bekker LG, Charurat ME, Justman JE, Chi B. Empirical estimates of adult HIV incidence across 12 countries in sub-Saharan Africa. Conference on Retroviruses and Opportunistic Infections, February 2022, ID 596 (poster presentation). [Link to Poster]

REMAIN: Retain, Maintain, Sustain

Project Dates:
03/2023 - 02/2028

Role:
Co-Investigator

multiple PIs:
Pamina Gorbach, Lisa Hightow-Weidman, Sean Young

Funder:
NIAID
UG3AI176592

Exploring, Predicting, and Intervening on Long-Term Viral suppression Electronically (EPI-LoVE)

Remain is enrolling a digital cohort of people living with HIV in the US who are not virally suppressed, as well as individuals who report prior gaps in HIV care engagement or lack of sustained viral suppression. The cohort will be followed over time to prospectively investigate trajectories of HIV care engagement and viral suppression, as well as the temporal antecedents and multilevel factors that drive changes in care engagement, treatment adherence, and viral suppression.