Announcing a new
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 MUSC, 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 13th - 14th, the BDMI course
will run on March 15th
and the ABDM course will run on March 16th - 17th 2017.
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. Most recently he was chief editor of the
Handbook of Spatial Epidemiology (2016). 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/march2017.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]