Swendeman, Dallas, et al. “Feasibility and Acceptability of Mobile Phone Self-monitoring and Automated Feedback to Enhance Telephone Coaching for People with Risky Substance Use: The QUIT-Mobile Pilot Study.”

Rezvan, Panteha Hayati, et al. “Intimate partner violence and food insecurity predict early behavior problems among South African children over 5-years post-birth.”

Lin, Chunqing, et al. “Mental Health Services for Men Who Have Sex with Men in China.”

Li, Li, et al. “Evaluating an intervention for family members of people who use drugs in Vietnam.”

Comulada, W. Scott, et al. “Using mHealth to deliver a home-based testing and counseling program to improve linkage to care and ART adherence in rural South Africa.”

Comulada, W. Scott, et al. “Using Machine Learning to Predict Young People’s Internet Health and Social Service Information Seeking.” Prevention Science 22.8 (2021)

In order to download the data files, please send an e-mail request to jhossell@mednet.ucla.edu with the subject line “Requesting Zithulele data”.

1. Rotheram-Borus MJ, Le Roux K, Le Roux IM, Christodoulou J, Laurenzi C, Mbewu N, & Tomlinson M. (2017). To evaluate if increased supervision and support of South African Government health workers’ home visits improves maternal and child outcomes: study protocol for a randomized control trial. BMC Trials, 18(1), 368. doi: 10.1186/s13063-017-2074-5. PMID: 28784142. PMCID: PMC5547508.