Bayesian disease mapping workshops: March 11-15th 2018 MUSC Charleston SC USA

[Lawson, Andrew B.]

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Some places remain for


**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 11th - 12th, the BDMI course will run on March 13th
and the ABDM course will run on March 14th - 15th 2019.

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, INLA, CARBayes and Nimble 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 CRC Press Handbook of Spatial Epidemiology (2016).
The 3rd 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/march2019.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 wats...@musc.edu

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