COURSE ANNOUNCEMENTs


The University of Southern Denmark is happy to announce the second
European offering of highly successful courses previously offered
only in North America:

============================
1) "*An Introduction to Bayesian Disease Mapping*"
============================

A Two-Day Course, April 12.- 13. 2010, University of Southern 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,


For more details, the brochure and application form go to

 

http://www.si-folkesundhed.dk/upload/ibdm_sif_2010.pdf

=======================
2) "*Advanced Bayesian Disease Mapping*"
=======================


A Two-Day Course, April 15. + 16. 2010, University of Southern Denmark,
Copenhagen, Denmark  


COURSE CONTENT
-------------------------
This course is designed to provide advanced coverage of Bayesian
disease mapping topics in applications to
Public Health and Epidemiology: It is intended as an extension to the
course: *An Introduction to Bayesian Disease Mapping*.

Emphasis on the course is placed on spatial and spatio-temporal
Bayesian modeling issues, and some knowledge of Bayesian computation
and WinBUGS is assumed.

The two-day course consists of sessions dealing with: 

DAY 1 Spatial topics

* Spatial models and simple variants: convolution, proper CAR, full
MVN
* Special applications: sparse count data: zip and factorial
regression
* Special applications: latent structure (L&C and mixtures)
* Spatial survival modelling
* Measurement error, SEMS and Joint modelling.
* WinBUGS, R2winBUGS and BRugs

DAY 2 Spatio-temporal modelling topics

* Basic ST models: Bernardinelli, Knorr-Held, Waller; seasonal effects
* ST latent structure modeling
* Infectious disease models: FMD and influenza outbreaks

This is designed for those who want to cover advanced BDM methods, and
includes advanced use of WinBUGS and related R functions:
R2WinBUGS, BRugs. 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 spatial and spatio-temporal analyses will be considered.
Examples will range over childhood asthma data from Georgia, influenza
in South Carolina, foot-and-mouth disease in the UK
and prostate cancer in Louisiana.


For more information, the brochure and application form go to

 http://www.si-folkesundhed.dk/upload/abdm_sif_2010.pdf


For both courses:

The speaker is
----------------
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 courses are 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. 
The Advanced course relies on ideas developed in the Introductory course.

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