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Announcing a multi-day Course Sequence: Introduction to Bayesian Disease Mapping (IBDM) Bayesian Disease Mapping with INLA (BDMI) Advanced Bayesian Disease Mapping (ABDM) **Offering of Introductory and Advanced BDM courses and BDM with INLA in Medical University of South Carolina, Charleston, SC, USA** Historic Charleston, South Carolina *Course content* These courses are designed to provide a comprehensive introduction to the area of Bayesian disease mapping in applications to Public Health and Epidemiology: The IBDM course will run on March 9th - 10th, the BDMI course will run on March 11th and the ABDM course will run on March 12th - 13th 2015. The BDMI course provides a hands-on introduction to spatial health modeling with INLA, while more advanced INLA examples are included in the ABDM course. Both spatial and spatio-temporal analyses using WinBUGS and INLA will be considered. Examples will range over childhood asthma data from Georgia, influenza in South Carolina, foot-and-mouth disease in the UK and Ohio respiratory cancer. *The speaker* Professor Andrew B. Lawson (Department of Public Health Sciences, College of Medicine, Medical University of South Carolina) is a World Health Organization (WHO) advisor on Disease Mapping and organized with the WHO an International workshop on this topic which has led to an edited volume “Disease Mapping and Risk Assessment for Public Health”. He has published a number of books focused on disease mapping and spatial epidemiology. In particular, the 2nd Edition of the volume *Bayesian Disease Mapping* will be a course text for the IBDM course, and is included in the IBDM course fee. *REGISTRATION INFORMATION* Detailed information and registration form is available from http://academicdepartments.musc.edu/phs/docs/march2015.pdf Phone registration to: Department of Public Health Sciences (843) 876-1578 Fax registration form to: Department of Public Health Sciences (843) 792-6000 Booking Enquiries can be made by E-mail to June Watson at [log in to unmask] You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank.