Remote Sensing and Geographical Information Systems in Epidemiology, 1st Edition,John Baker,Ralph Muller,D. Rollinson,S.I. Hay,Sarah Randolph,David Rogers,ISBN9780123335609
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Multi-Volume: Advances in Parasitology

Volume 47: Remote Sensing and Geographical Information Systems in Epidemiology, 1st Edition

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Editor(s) : Baker  &   Muller  &   Rollinson  &   Hay  &   Randolph  &   Rogers  

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Imprint: Academic Press

ISBN: 9780123335609

Pages: 357

Dimensions: 229 X 152

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Key Features

@introbul:Key Features
@bul:* Only book to provide a synthesis of complex biology, quantitative analysis, space technology and practical applications, focused on solving real epidemiological problems on a global scale
* Broad scope, with methods relevant to subjects ranging from biodiversity to public health
* Practical advice on relevant courses
* 24 pages of colour plates

Description

Global problems require global information, which satellites can now provide. With ever more sophisticated control methods being developed for infectious diseases, our ability to map spatial and temporal variation in risk is more important than ever. Only then may we plan control campaigns and deliver novel interventions and remedies where the need is greatest, and sustainable success is most likely. This book presents a comprehensive guide to using the very latest methods of surveillance from satellites, including analysing spatial data within geographical information systems, interpreting complex biological patterns, and predicting risk both today and as it may change in the future. Of all infectious disease systems, those that involve free-living invertebrate vectors or intermediate hosts are most susceptible to changing environmental conditions, and have hitherto received most attention from the marriage of analytical biology with this new space technology. Accordingly, this volume presents detailed case studies on malaria, African trypanosomiasis (sleeping sickness), tick-borne infections and helminths (worms). For those who are unfamiliar with this science, and unsure how to start, the book ends with a chapter of practical advice on where to seek hands-on instruction. The lessons to be learned from these studies are applicable to many other epidemiological and ecological problems that face us today, most significantly the preservation of the world's biodiversity.

Readership

Research level epidemiologists, parasitologists, infectious disease researchers, public health, tropical medicine, ecology, remote sensing, geodesy. Global/government organizations, eg. world health organization

John Baker

Affiliations and Expertise

Royal Society of Tropical Medicine and Hygiene, London, U.K.

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Ralph Muller

Affiliations and Expertise

London School of Hygiene and Tropical Medicine, U.K.

View additional works by Ralph Muller

D. Rollinson

Affiliations and Expertise

The Natural History Museum, London, UK

View additional works by D. Rollinson

S.I. Hay

Affiliations and Expertise

Professor of Epidemiology, Spatial Epidemiology and Ecology Group, Department of Zoology, University of Oxford, South Parks Road, Oxford, OX1 3PS, U.K.

View additional works by S.I. Hay

Sarah Randolph

Affiliations and Expertise

University of Oxford, U.K.

David Rogers

David F. Rogers, Ph.D., is the author of two computer graphics classics, Mathematical Elements for Computer Graphics and Procedural Elements for Computer Graphics, as well as works on fluid dynamics. His early research on the use of B-splines and NURBS for dynamic manipulation of ship hull surfaces led to significant commercial and scientific advances in a number of fields. Founder and former director of the Computer Aided Design/Interactive Graphics Group at the U.S. Naval Academy, Dr. Rogers was an original member of the USNA's Aerospace Engineering Department. He sits on the editorial boards of The Visual Computer and Computer Aided Design and serves on committees for SIGGRAPH, Computer Graphics International, and other conferences.

Affiliations and Expertise

The United States Naval Academy, Annapolis, Maryland, U.S.A.

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Remote Sensing and Geographical Information Systems in Epidemiology