Workshop: Using R for Bayesian Spatial and Spatio-Temporal Health Modeling

The Data Science Institute of Hasselt University is excited to offer a Bayesian Workshop: Using R for Bayesian Spatial and Spatio-Temporal Health Modeling.  The workshop is designed to provide a comprehensive introduction to the area of Bayesian Disease mapping using R in applications to Public Health and Epidemiology.   This course sequence is designed for those who want to cover mapping methods, and the use of a variety of software and variants in application to small area health data. The speaker is Prof. Andrew Lawson, international renowned expert in disease mapping and spatial epidemiology.

The course will include theoretical input, but also practical elements and participants will be involved in hands-on in the use of R, BRugs (OpenBUGS), Nimble, CARBayes and INLA in disease mapping applications. Both human and veterinary examples will be covered in the course. Examples will range over congenital anomaly birth defects, cancer, foot and mouth disease, influenza and Covid-19 space-time modeling.

Participants will gain an in-depth understanding of the basic issues, methods and techniques used in the analysis of spatial health data using a Bayesian approach with R. They will gain insight into the detailed analysis of practical problems in risk estimation and cluster detection.

WHEN?   June 8 and 9 2023

WHERE?  Hasselt University, Campus Diepenbeek, Building D, Room C104, Belgium

SPEAKER?  Professor Andrew Lawson

More info