Model-based Geostatistics for Global Public Health ― Methods and Applications

Presents state-of-the-art methods in model-based geostatistics (MBG) and its application to problems in global public health. Scientific objective is to describe the pattern of spatial variation in a health outcome using explicit probability models and established principles of statistical inference.

Peter Diggle is a Distinguished University Professor and group leader of CHICAS at Lancaster University. Dr. Diggle is also an adjunct professor of biostatistics at both Johns Hopkins University’s and Yale University’s Schools of Public Health, adjunct senior researcher in the International Research Institute for Climate and Society at Columbia University, professor of epidemiology and statistics at the University of Liverpool, a trustee for Biometrika, founding co-editor and advisory board member for Biostatistics, and chair of the Strategic Skills Fellowships Panel of the Medical Research Council. His research focuses on the development and application of statistical methods to the biomedical and health sciences.

Emanuele Giorgi is an MRC Biostatistics Fellow in the CHICAS research group at Lancaster Medical School. He works at the interface between development of statistical methodology and epidemiological applications. He did his BSc and MSc in Statistics at the University of Padua, and then joined CHICAS in 2012 where he gained his Ph.D. in Statistics and Epidemiology.