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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

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.
Mar 26, 2021S65-S78
Applying the Community Health Worker Coverage and Capacity Tool for time-use modeling for program planning in Rwanda and Zanzibar.
Global Health: Science and Practice
Morrow, M., Sarriot, E., Nelson, A.R., Sayinzoga, F., Mukamana, B., Kayitare, E., Khamis, H., Abdalla, O., Winfrey, W.
Dec 26, 202034-48
Jamii ni Afya: using digital tools to scale integrated services to mothers and children in Zanzibar.
Early Childhood Matters
Wilson, K., Nelson, A., Craig, T., Hofmann, R., Layer, E.
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