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Research & Impact

Our research helps to demonstrate how digital tools can strengthen health systems and how data can be leveraged for health impact. At D-tree, we are committed to evidence-based decision making and use research and evaluation to guide our work. See our research publications below.

Our Research Highlights

Our Research Publications

Jul 18, 2023
A Fair Incentive Scheme for Community Health Workers
Thirty-Seventh AAAI Conference on Artificial Intelligence
Avinandan Bose (University of Washington), Tracey Li (D-tree), Arunesh Sinha (Rutgers University), Tien Mai (Singapore Management University)
Dec 02, 2022
A human centred approach to digital technologies in health care delivery among mothers, children and adolescents
BMC Health Services Research
Yasini Haroun, Richard Sambaiga, Nandini Sarkar, Ntuli A. Kapologwe, James Kengia, Jafary Liana, Suleiman Kimatta, Johanita James, Vendelin Simon, Fatma Hassan, Romuald Mbwasi, Khadija Fumbwe, Rebecca Litner, Gloria Kahamba & Angel Dillip
Aug 24, 2022
Machine learning for maternal health: Predicting delivery location in a community health worker program in Zanzibar
Frontiers in Digital Health
Fredriksson A, Fulcher I, Russell AL, Li T, Tsai Y, Said S, Mpembeni R, Hedt-Gauthier B
Apr 20, 2022
Identifying Programmatic Factors that Increase Likelihood of Health Facility Delivery: Results from a Community Health Worker Program in Zanzibar
National Library of Medice, National Center for Biotechnology Information
Hentschel E, Russell AL, Said S, Tibaijuka J, Khamis H, Hedt-Gauthier B, Fulcher I
Apr 01, 202222:762
Caregiver parenting practices, dietary diversity knowledge, and association with early childhood development outcomes among children aged 18-29 months in Zanzibar, Tanzania: A cross-sectional survey.
BMC Public Health
Russell AL, Hentschel E, Fulcher I, Ravà MS, Abdulkarim G, Abdalla O, Said S, Khamis H, Hedt-Gauthier B, Wilson K.
Apr 26, 2021
Deep Learning and its Application for Healthcare Delivery in Low and Middle Income Countries.
Frontiers in Artificial Intelligence
Williams, D., Hornung, H., Nadimpalli, A., Peery, A.
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