27 Jul 2021 Eco-Epidemiology & Surveillance
Eco-Epidemiology & Surveillance
There have been major advances in the science of infectious disease dynamics. But there is inadequate application of these advances at local scales to inform health interventions. We combine environmental information, spatially granular health system data, and population surveys, with mathematical models to understand and forecast local disease dynamics (such as malaria, measles, schistosomiasis, lymphatic filariasis and diarrheal disease) to improve service delivery.
Estimating the local spatio‐temporal distribution of malaria from routine health information systems in areas of low health care access and reporting, Hyde, E, et al., 2021, International Journal of Health Geographics
Reconciling model predictions with low reported cases of COVID-19 in Sub-Saharan Africa: Insights from Madagascar, Evans, M.V., et al., 2020, Global Health Action
Towards elimination of lymphatic filariasis in southeastern Madagascar: Successes and challenges for interrupting transmission, Garchitorena, A., et al., 2018, PLOS Neglected Tropical Diseases