*An Introduction to Bayesian Disease Mapping*
*A Two-Day Course*
*March 10 and 11 2009*
*Historic Charleston, South Carolina*
*Course content*
This course is designed to provide an introduction to the area of
Bayesian disease mapping in applications to Public Health and Epidemiology:
The two-day course consists of sessions dealing with:
*DAY 1*
· Basic concepts of Bayesian methods and disease mapping
· Bayesian computation and MCMC
· Basic R and WinBUGS use
· Demonstration of risk estimation and cluster detection using WinBUGS
*DAY 2*
· Hands-on with simple WinBUGS models: Poisson-gamma; convolution models
for risk estimation
· Ecological analysis, cluster models and space-time analysis
· Infectious disease models and veterinary data
* *
This is designed for those who want to cover more advanced mapping
methods, and includes ecological analysis and the use of WinBUGS software.
The course will include theoretical input, but also practical elements
and participants will be involved hands-on in the use of R and WinBUGS
in disease mapping applications. Both human and veterinary examples will
be covered in the course as well as simple infectious disease space-time
modelling. Examples will range over congenital anomaly birth data,
influenza in South Carolina, foot-and-mouth disease in the UK and oral
cancer in Georgia,
*The speaker*
*Professor Andrew B. Lawson* (Dept of Biostatistics, Bioinformatics &
Epidemiology, 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, a new volume entitled *Bayesian
Disease Mapping* will be a course text for this course. A copy of the
book is included in the course fee.
*Who should attend*
The course is intended for epidemiologists and public health workers who
need to analyse geographical disease incidence. In addition, the course
may be of interest to statisticians or geographers and planners who deal
with spatial disease data. Some statistical/epidemiological background
would be beneficial but is not essential.
*Why attend*
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. They will gain insight into the detailed analysis
of practical problems in risk estimation and cluster detection. The
course is presented by a leading researcher in the field of disease
mapping and spatial epidemiology.
*course fees*
Two-day Course - $500.00
Two-day course fee includes comprehensive course notes, lunch,
refreshments and a copy of "Bayesian Disease Mapping: Hierarchical
Modeling in Spatial Epidemiology", Lawson, A. B., (2008), CRC press, New
York.
*Attendees must bring a laptop with R and WinBUGS 1.4 software
preloaded*. Datasets will be provided. R and WinBUGS software can be
downloaded from the following websites: http://cran.wustl.edu
<http://cran.wustl.edu/> and/or www.mrc-bsu.cam.ac.uk/bugs
<http://www.mrc-bsu.cam.ac.uk/bugs>
* *
*VENUE*
The course will take place on the campus of the Medical University of
South Carolina, Department of Biostatistics, Bioinformatics and
Epidemiology, Room 301, 135 Cannon Street, Charleston, South Carolina.
*AREA ACCOMODATIONS:*
Charleston Marriott Hotel
170 Lockwood Boulevard
Charleston, SC 29403
(843)723-3000/(800)968-3569
www.marriott.com/chsmc <http://www.marriott.com/chsmc>
Comfort Inn
144 Bee Street
Charleston, SC 29401
(843)577-2224
Holiday Inn Historic District
125 Calhoun Street
Charleston, SC 29401
(843)805-7900 Phone
The Courtyard by Marriott
35 Lockwood Drive
Charleston, SC 29401
(843) 722-7229
Additional information on Charleston and area hotel accommodations may
be found at www.charlestoncvb.com <http://www.charlestoncvb.com/>.
Download a campus map at www.musc.edu <http://www.musc.edu/>.
**
*REGISTRATION INFORMATION*
*An Introduction to Bayesian Disease Mapping*
* *
*March 10 - 11th , 2009*
Medical University of South Carolina
* *
* Registration is limited to 20 participants*
* *
* Deadline for Registration is February 27, 2009*
* *
* Conference Registration is $500 per person*
* *
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*METHODS OF PAYMENT*
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acceptable if payable through a U.S. bank.
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*Refund Policy: *Requests for refunds must be made in writing. There
will be a $75 processing fee for cancellations before October 31, 2008.
Beginning October 31, no refunds can be given.
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_ _
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*REGISTRATION OPTIONS*
· Mail registration form and fee to:
An Introduction to Bayesian Disease Mapping
Medical University of South Carolina
Department of Biostatistics, Bioinformatics and Epidemiology
135 Cannon Street, Suite 303
Charleston, South Carolina 29425-8350
· Phone registration to:
Department of Biostatistics, Bioinformatics and Epidemiology
(843) 876-2288
· Fax registration form to:
Department of Biostatistics, Bioinformatics and Epidemiology
(843) 792-6000
· E-mail to [log in to unmask]
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