Disease Mapping and Risk Assessment for Public Health

Jean-Fran Viel (Hrsg.), Emmanuel Lesaffre (Hrsg.), Roberto Bertollini (Hrsg.), Dankmar Böhning (Hrsg.), Annibale Biggeri (Hrsg.), Andrew B. Lawson (Hrsg.)

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John Wiley & Sons img Link Publisher

Naturwissenschaften, Medizin, Informatik, Technik / Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik

Beschreibung

Offers an in-depth report on advanced statistical tools for publichealth disease surveillance, which is the result of a prestigiousWorld Health Organisation (WHO) and EU Biomed programme initiative.Traditionally, the role of public health disease surveillance hasbeen to identify and evaluate morbidity and mortality butincreasingly, more sophisticated methods are being applied as theauthorities extend their studies to include control and preventionof disease. This book brings together leading experts to discusscomplex methodologies for the statistical evaluation of diseasemapping and risk assessment. It includes a broad variety ofstatistical techniques and where appropriate, examples are includedon topical issues such as the analysis of putative health hazards.For easy reference the text is presented in five distinct sections,each with an introductory review: * Disease Mapping * Clustering of Disesase * Ecological Analysis * Risk Assessment for Putative Sources of Hazard * Public Health Applications and Case Studies Representative of the most pertinent issues within diseasesurveillance and mapping, this book will provide an accessibleoverview for statisticians and epidemiologists.

Rezensionen

(Journal of Statistical Computation and Simulation, April2005)
"...full of rich ideas and methods that are useful..."
(ISCB Newsletter, December 2000)
"...sure to be an essential reference for anyone working in thisarea"
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Schlagwörter

Health Care Administration, Verwaltung im Gesundheitswesen, Gesundheits- u. Sozialwesen, Public Health, Statistik, Biostatistik, Health & Social Care, Biostatistics, Statistics