Spatial Epidemiology Methods and Applications

by Elliott, P.; Wakefield, Jon; Best, Nicola; Briggs, David

• ISBN13: 9780198515326
• ISBN10: 0198515324
• Edition: 1st
• Format: Paperback
• Copyright: 2001-10-04
• Publisher: Oxford University Press

Summary

This is a new paperback edition of the well received text Spatial Epidemiology: Methods and Applications. It is an easy to read, clear and concise exploration of the field of geographical variations in diseases. Especially with respect to variations in environmental exposures at the small-area scale this book gives an authoriative 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. Of interest to epidemiologists, public health pratitioners, statistcians, geographers, environmental scientists and others concerned with understanding the geographical distribution of disease and the effects of environmental exposures on human health. It will be a valuable source for undergraduate and postgraduate courses in epidemiology, medicial geography, biostatistics, environmental health and environmental science as well as a useful source of reference for health policy makers, health economists, regulators and others in the field of environmental health.

Table of Contents

List of abbreviations	xi
List of contributors	xv
Section I: Introduction---health and population data	1	(84)
Spatial epidemiology: methods and applications	3	(12)
P. Elliott
J. C. Wakefield
N. G. Best
D. J. Briggs
Health event data	15	(15)
A. Staines
L. Jarup
The use of population data in spatial epidemiology	30	(21)
R. A. Arnold
I. D. Diamond
J. C. Wakefield
Socio-economic factors at areal level and their relationship with health	51	(17)
V. Carstairs
Bias and confounding in spatial epidemiology	68	(17)
P. Elliott
J. C. Wakefield
Section II: Statistical methods	85	(136)
Overview of statistical methods for disease mapping and its relationship to cluster detection	87	(17)
P. J. Diggle
Bayesian approaches to disease mapping	104	(24)
J. C. Wakefield
N. G. Best
L. Waller
Clustering, cluster detection, and spatial variation in risk	128	(25)
J. C. Wakefield
J. E. Kelsall
S. E. Morris
Assessment of disease risk in relation to a pre-specified source	153	(32)
S. E. Morris
J. C. Wakefield
Geostatistical methods for mapping environmental exposures	185	(20)
N. Cressie
Ecological correlation studies	205	(16)
S. Richardson
C. Monfort
Section III: Disease mapping and clustering	221	(112)
Disease mapping: a historical perspective	223	(17)
S. D. Walter
Mapping mortality data in the United States	240	(13)
L. W. Pickel
Geographical analysis of communicable disease data	253	(14)
P. Atkinson
A. Molesworth
Bayesian mapping of Hodgkin's disease in France	267	(19)
A. Mollie
Investigating the genetic association between diabetes and malaria: an application of Bayesian ecological regression models with errors in covariates	286	(16)
L. Bernardinelli
C. Pascutto
C. Montomoli
W. Gilks
Do cancers cluster?	302	(15)
F. E. Alexander
P. Boyle
Geographical variations in childhood leukaemia incidence	317	(16)
J. F. Bithell
T. J. Vincent
Section IV: Exposure and the link to health	333	(130)
Exposure assessment	335	(25)
D. J. Briggs
Personal exposure monitoring in environmental epidemiology	360	(15)
M. J. Nieuwenhuijsen
Dispersion modelling	375	(18)
R. Colvile
D. J. Briggs
Combining models of health and exposure data: the SAVIAH study	393	(22)
N. G. Best
K. Ickstadt
R. L. Wolpert
D. J. Briggs
The role of geographical studies in risk assessment	415	(19)
L. Jarup
Water quality and health	434	(10)
M. Kanarek
Climate change and human health: mapping and modelling potential impacts	444	(19)
A. J. McMichael
P. Martens
R. S. Kovats
S. Lele
Index	463