*Announcing a Two-Day Course Sequence:*
*Introduction to Bayesian Disease Mapping (IBDM)*
*Advanced Bayesian Disease Mapping (ABDM)*
**The first offering of both Introductory and Advanced BDM courses in
April 4th -- 5th and 7th -- 8th 2011
University of Edinburgh, Scotland, UK
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 April 4^th -- 5^th and the
ABDM course will run on April 7^th -- 8th 2011.
The IBDM two-day course consists of sessions dealing with:
· 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
· 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 ABDM course consists of:
· Spatial models and simple variants: convolution, proper CAR,
· Special application: Case event modelling
Special applications: sparse count data: zip and factorial
· Special applications: latent structure (L&C and mixtures)
· Spatial survival modelling
· Measurement error, SEMS and Joint modelling. CPO and pseudo
· Multiple disease analysis
· Basic Space-Time models: Bernardinelli, Knorr-Held, Waller; seasonal
· Space-Time Kalman-filtering
· Clustering in ST data; surveillance and Infectious disease models
This course is designed for those who want to cover advanced BDM
includes advanced use of WinBUGS. 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 Ohio respiratory cancer.
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 the IBDM course. A copy of
the book is included in the course fee for that course only.
*Who should attend*
The courses are intended for epidemiologists and public health workers
who need to analyse geographical disease incidence. In addition, the
courses 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.
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.
IBDM Two-day Course -- 450 GBP
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
ABDM Two-day Course -- 425GBP
Two-day course fee includes comprehensive course notes, lunch, and
Joint booking of both courses in the sequence is discounted to 720GBP and
with an academic/charity rate of 640 GBP
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 <http://cran.wustl.edu/>/> and/or
The courses will take place at the Medical School of the University of
Edinburgh, Edinburgh, Scotland.
The form and further course information is available from
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