Spatial data science for seasonal malaria risk mapping at sub-national levels in Kenya

Malaria remains a public health problem in many sub-Saharan Africa countries including Kenya. The current efforts at understanding disease risk and seasonality in Kenya rely on data collected from household and community surveys collected every three to four years. These surveys do not always capture the seasonal aspects of malaria transmission which is partly driven by climate. Data from health facilities, however, are collected continuously, and suspected cases of malaria are subjected to laboratory confirmation. Therefore, rates recorded at a health facility should provide a consistent definition of risk. 

Data from health facilities in Kenya will be used as primary data in estimating malaria risk and stratification to support malaria control. We will also aim to understand biases or uncertainties associated with data from health facilities, such as incomplete reporting.

This project will help to improve future data collection to track the impact of malaria interventions.

This grant was awarded under the scheme's previous name of Training Fellowship in Public Health and Tropical Medicine.