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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.
This text investigates the methodological challenges and statistical frameworks required to analyze the geographical distribution of disease and investigate localized disease clusters. The authors, a team of established researchers in epidemiology and statistics, synthesize theoretical principles with practical application to address the complexities of small-area studies. By examining the relationship between population data, disease incidence, and environmental exposure, the book provides a structured approach for researchers to interpret spatial health data across varying scales.
What You Will Find
Scope Limits
Experts recognize this work as a foundational text for understanding the intersection of geography and public health. Readers frequently note the technical density of the prose, which is intended for professionals and graduate-level researchers in the field.
Page Count:
404
Publication Date:
1993-01-28
Publisher:
Oxford University Press
ISBN-10:
0192622803
ISBN-13:
9780192622808
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