Abstract
Model-based geostatistics is a branch of spatial statistics aimed at making inferences about a spatially continuous surface using data collected from a finite set of locations within a study area. This methodology has been increasingly applied to address global health problems, particularly in low- and middle-income countries where disease registries are either absent or lack geographical information. In this talk, I will provide an overview of the statistical foundations of geostatistics and present applications developed through international collaborations in the context of neglected tropical diseases control and elimination. I will then discuss how these methods have been used to inform policy decisions and outline my research agenda to enhance their adoption by Ministries of Health.
Update: the seminar will be also streamed at this link.