GEOVET 2010 will be hosting a 2 day short course
on Introductory Bayesian Disease Mapping presented by
Professor Andrew Lawson (MUSC). This course has been offered previously
in the USA, Canada and Denmark and is usually over subscribed.
The course covers the following topics:
*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, and foot-and-mouth disease in the UK.
*The speaker*
*Professor Andrew B. Lawson* (Division of Biostatistics & Epidemiology,
College of Medicine, Medical University of South Carolina) is an MUSC eminent Scholar and 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 - $600.00 ($400 student)
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., (2009), CRC press, New
York.
*Attendees must bring a laptop with R and WinBUGS 1.4.3 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>
We plan to use* R2WinBUGS *and* BRugs *packages on R and so these
should be downloaded also.
*For Technical Enquiries:*
* *
Professor Andrew Lawson: [log in to unmask]
* *
*REGISTRATION INFORMATION*
*An Introduction to Bayesian Disease Mapping*
* *
*December 4 – 5 th 2010*
University of Sydney
* *
* Registration is limited to 25 participants and must be via the GEOVET
website: *
*http://sydney.edu.au/vetscience/research/geovet/index.shtml*
You may leave the list at any time by sending the command
SIGNOFF allstat
to [log in to unmask], leaving the subject line blank.
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