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Spatial Epidemiology
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Spatial Epidemiology

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

Abstract

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

Authors

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

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Contents

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Front Matter

Title Pages

Preface

List of abbreviations

List of contributors

List of contributors

I Introduction—health and population data

1. Spatial epidemiology: methods and applications

2. Health event data

3. The use of population data in spatial epidemiology

Acknowledgements

4. Socio-economic factors at areal level and their relationship with health

5. Bias and confounding in spatial epidemiology

Acknowledgement

II Statistical methods

6. Overview of statistical methods for disease mapping and its relationship to cluster detection

7. Bayesian approaches to disease mapping

Acknowledgement

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

Acknowledgement

9. Assessment of disease risk in relation to a pre-specified source

Acknowledgement

10. Geostatistical methods for mapping environmental exposures

Acknowledgements

11. Ecological correlation studies

III Disease mapping and clustering

12. Disease mapping: a historical perspective

Acknowledgements

13. Mapping mortality data in the United States

14. Geographical analysis of communicable disease data

15. Bayesian mapping of Hodgkin’s disease in France

Acknowledgements

16. Investigating the genetic association between diabetes and malaria: an application of Bayesian ecological regression models with errors in covariates

Acknowledgements

17. Do cancers cluster?

18. Geographical variations in childhood leukaemia incidence

IV Exposure and the link to health

19. Exposure assessment

20. Personal exposure monitoring in environmental epidemiology

21. Dispersion modelling

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

Acknowledgements

23. The role of geographical studies in risk assessment

24. Water quality and health

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

End Matter

Index