Spatial Epidemiology

Statistics in Medicine, Vol 22, No 14 . . . this book is a very valuable addition to the bookshelf of public health officials, epidemiologists, environmental scientists, medical geographers and biostatisticians who collect and analyse geographical health data. It is a resource for experts and novices alike.

Biometrics . . . a bench-mark text: an excellent addition to the literature on spatial epidemiology.

Section 1 Introduction - health and population data: P. Elliott, J.C. Wakefield, N.G. Best, D.J. Briggs, Spatial epidemiology - methods and applications; A. Staines and L. Jarup, Health event data; R.A. Arnold, I.D. Diamond, J.C. Wakefield, The use of population data in spatial epidemiology; V. Carstairs: Socio-economic factors at a real level and their relationship with health; P. Elliott and J.C. Wakefield, Bias and confounding in spatial epidemiology. Section 2 Statistical methods; P.J. Diggle, Overview of statistical methods for disease mapping and its relationship to cluster detection; J.C. Wakefield, N.G. Best, L. Waller, Bayesian approaches to disease mapping; J.C. Wakefield, J.E. Kelsall, S.E. Morris, Clustering, cluster detection and spatial variation in risk; S.E. Morris and J.C. Wakefield, Assessment of disease risk in relation to a pre-specified source; N.A.C. Cressie, Geostatistical methods for mapping environmental exposures; S. Richardson and C. Monfort, Ecological correlation studies. Section 3 Disease mapping and clustering; S.D. Walter, Disease mapping - a historical perspective; L.W. Pickle, Mapping mortality data in the US; P. Atkinson and A. Molesworth, Geographical analysis of communicable disease data; A. Mollie, Bayesian mapping of Hodgkin's disease in France; L. Bernardinelli, C. Pascutto, C. Montmoli, W. Gilks, Investigating the genetic association between diabetes and malaria - an application of Bayesian ecological regression models with errors in covariates; F.E. Alexander and P. Boyle, Do cancers cluster?; J.F. Bithell and T.J. Vincent, Geographical variations in childhood leukaemia incidence. Section 4 Exposure data and the link to health; D.J. Briggs, Exposure assessment; M.J. Nieuwenhuijsen, Personal exposure monitoring in environmental epidemiology; R. Colvile and D.J. Briggs, Dispersion modelling; N.G. Best, K. Ickstadt, R.L. Wolpert, D.J. Briggs: Combining models of health and exposure data - the SAVIAH study; L. Jarup, The role of geographical studies in risk assessment; M. Kanarek, Water quality and health; A.J. McMichael, P. Martens, R.S. Kovats, S. Lele, Climate change and human health - mapping and modelling potential impacts.