Geographical and Environmental Epidemiology - Methods for Small Area Studies (Paperback, Revised)

This book is the first to address both the theoretical and practical issues which arise when describing the geographical distribution of disease and investigating apparent disease clusters. Requirements in terms of population data, disease incidence and mortality are considered and related to the scale at which a study is being carried out. Statistical methods are reviewed for large scale correlation studies, intermediate scale smoothing exercises, and small scale clustering investigations, and the problems of interpretation are discussed. Problems of measuring environmental exposures at different scales are also reviewed. These issues are then related to current practice via a comprehensive set of case studies which include a large correlation study in China, clustering of asthma attacks, the Sellafield-leukemia cluster, environmental clusters of mesothelioma in Turkey, the investigation of disease following the industrial accident at Sevesco, and a multi-source study of cancer incidence around incinerators.

General

Imprint:	Oxford UniversityPress
Country of origin:	United Kingdom
Release date:	July 1996
First published:	September 1996
Editors:	P. Elliott (Head, Department of Epidemiology and Public Health, Imperial College of Science, Technology and Medicine) • J. Cuzick (Head, Department of Mathematics, Statistics and Epidemiology) • D. English (Department of Medicine (Public Health), Queen Elizabeth II Medical Centre) • R. Stern (World Health Organization)
Dimensions:	235 x 156 x 23mm (L x W x T)
Format:	Paperback
Pages:	404
Edition:	Revised
ISBN-13:	978-0-19-262235-8
Categories:	Books > Medicine > General issues > Public health & preventive medicine > Medical screening Books > Medicine > General issues > Public health & preventive medicine > Epidemiology & medical statistics Books > Science & Mathematics > Biology, life sciences > Zoology & animal sciences > Animal pathology & diseases Promotions
LSN:	0-19-262235-8
Barcode:	9780192622358

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