#MUSAMasterClass featuring Dr. Paula Moraga: Disease Risk Modeling and Visualization using R

Disease risk models are essential to inform public health and policy. These models can be used to quantify disease burden, understand geographic and temporal patterns, identify risk factors, and measure inequalities. In this workshop we will learn how to estimate disease risk and quantify risk factors using spatial data. We will also create interactive maps of disease risk and introduce presentation options such as interactive dashboards. The workshop examples will focus on health applications, but the approaches covered are also applicable to other fields that use spatial data including ecology, demography, and criminology. The workshop materials are drawn from the book "Geospatial Health Data: Modeling and Visualization with R-INLA and Shiny" by Paula Moraga (2019, Chapman & Hall/CRC).

Dr. Paula Moraga is an Assistant Professor of Statistics at King Abdullah University of Science and Technology (KAUST) and the Principal Investigator of the GeoHealth Research Group.