Jump to ContentJump to Main Navigation
Spatial Epidemiology – Methods and Applications - Oxford Scholarship Online
Users without a subscription are not able to see the full content.

Spatial Epidemiology: Methods and Applications

Paul Elliott, Jon Wakefield, Nicola Best, and David Briggs


This book explores the field of geographical variations in disease. Especially with respect to variations in environmental exposures at the small-area scale, the book gives an account of current practice and developments. The recent and rapid expansion of the field looks set to continue in line with growing public, governmental, and media concern about environmental and health issues, and the scientific need to understand and explain the effects of environmental pollutants on health. The book is concerned with fostering an understanding of the geographical distribution of disease and the effec ... More

Keywords: geographical variations, environmental exposures, media concern, governmental concern, environmental issues, health issues, pollutants

Bibliographic Information

Print publication date: 2001 Print ISBN-13: 9780198515326
Published to Oxford Scholarship Online: September 2009 DOI:10.1093/acprof:oso/9780198515326.001.0001


Affiliations are at time of print publication.

Paul Elliott, editor
Professor of Epidemiology and Public Health Medicine, Imperial College School of Medicine

Jon Wakefield, editor
Small Area Health Statistics Unit, Imperial College School of Medicine and Department of Statistics, University of Washington, Seattle

Nicola Best, editor
Small Area Health Statistics Unit, Imperial College School of Medicine

Show Summary Details

subscribe or login to access all content.



I Introduction—health and population data

1. Spatial epidemiology: methods and applications

P. Elliott, J. C. Wakefield, N. G. Best, and D. J. Briggs

2. Health event data

A. Staines, and L. Järup

3. The use of population data in spatial epidemiology

R. A. Arnold, I. D. Diamond, and J. C. Wakefield

5. Bias and confounding in spatial epidemiology

P. Elliott, and J. C. Wakefield

II Statistical methods

7. Bayesian approaches to disease mapping

J. C. Wakefield, N. G. Best, and L. Waller

8. Clustering, cluster detection, and spatial variation in risk

J. C. Wakefield, J. E. Kelsall, and S. E. Morris

11. Ecological correlation studies

S. Richardson, and C. Monfort

III Disease mapping and clustering

17. Do cancers cluster?

F. E. Alexander, and P. Boyle

IV Exposure and the link to health

21. Dispersion modelling

R. Colvile, and D. J. Briggs

22. Combining models of health and exposure data: the SAVIAH study

N. G. Best, K. Ickstadt, R. L. Wolpert, and D. J. Briggs

25. Climate change and human health: mapping and modelling potential impacts

A. J. McMichael, P. Martens, R. S. Kovats, and S. Lele

End Matter