Announcing the first European offering of this highly successful course
previously offered only in North America:
*An Introduction to Bayesian Disease Mapping*
*A Two-Day Course*
*October 19th - 20th *
*University of Copenhagen, Denmark *
*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* (Division of Biostatistics &
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.
For more details, the brochure and application form go to
http://www.iph.life.ku.dk/Aktiviteter/2009/191009_201009_An_Introduction_to_Bayesian_Disease_Mapping.aspx
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