Forecasting dengue cases: Vietnam as a case study
Year of award: 2017
Grantholders
Giang Dang
University of Oxford
Project summary
This proposed research will study the dengue case dynamics in Vietnam in the past 20 years. The project’s ultimate objective is to build a rigorous forecasting system for future dengue cases in both space and time.
We will use machine learning and other modelling techniques to assess the relationship between patterns in cases and other factors such as climate and urbanisation. We will also use satellite imagery to quantify the urbanisation process in Vietnam. These forecasts will be rigorously tested for how good and useful they are to those who make decisions about the allocation of resources.
The results from this project may serve as a warning system to future areas of high transmission of dengue.
This grant was awarded under the scheme's previous name of Master's Fellowships in Public Health and Tropical Medicine.