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Spatial Analysis in Epidemiology by [Stevenson, Mark, Stevens, Kim B., Rogers, David J., Clements, Archie C.A.]
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Spatial Analysis in Epidemiology 1st , Kindle Edition

4.5 out of 5 stars 2 customer reviews

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Review


"I found that this book provides a very useful introduction to spatial analysis in epidemiology and, I am sure, a reference that I will visit often."--Maria-Gloria Basanez, Parasites & Vectors


About the Author

Dirk Pfeiffer graduated in Veterinary Medicine in Germany in 1984. He obtained his PhD in Veterinary Epidemiology from Massey University, Palmerston North, New Zealand in 1994. He has worked as an academic in New Zealand until accepting a professorship in veterinary epidemiology at the Royal Veterinary College in 1999. His particular interest is the epidemiology and control of infectious diseases, and his technical expertise includes field epidemiological and ecological research methods, advanced epidemiological analysis, spatial and temporal analysis of epidemiological data, risk analysis, computer modelling of animal disease, animal health economics and development of animal health information systems. Dirk provides scientific expertise to various organizations including the European Food Safety Authority, Defra, the Food and Agriculture Organization, as well as various international governments. Timothy Robinson graduated from the University of Oxford with a degree in pure and applied biology in 1988. His PhD, at the University of Reading, was on the ecology of the African armyworm, and involved extensive fieldwork in Kenya. After his doctorate he went on to work in Zambia (1992-1996) as a field ecologist, providing technical support to the Regional Tsetse and Trypanosomiasis Control Programme. This was followed by a stint of research at the University of Oxford (1996-1999), as a zoology research fellow and a fellow of Linacre College. From 1999-2002 he was employed as a scientist at the International Livestock Research Institute (ILRI) in Nairobi, again working on diseases of livestock. From ILRI, Timothy moved to the United Nations Food and Agriculture Organisation, where he currently works in the Livestock Information, Sector Analysis and Policy Branch. Mark Stevenson is senior lecturer in veterinary epidemiology at Massey University, Palmerston North New Zealand. He received his PhD in veterinary epidemiology in 2003 from Massey University. Dr. Stevenson was awarded the Chris Baldock Prize for Early Career Researcher from the Australian Biosecurity Cooperative Research Centre in 2006 and is a member of the Australian College of Veterinary Scientists. After completing an MSc in Agriculture in 1995 Kim Stevens worked for the Veterinary Faculty of the University of Pretoria (South Africa), first as a Technical Assistant in the Department of Veterinary Physiology and then as a Senior Technical Assistant for the Equine Research Centre. She moved to England in 2000, and joined the Royal Veterinary College in 2002 as a Clinical Research Assistant. David Rogers is Professor of Ecology in Oxford University. His interests include population ecology of pests and vectors of disease, mathematical modelling, epidemiology and the application of remotely sensed environmental data to conservation and epidemiology/epizootiology. Archie Clements graduated with a Bachelor of Veterinary Science degree from the University of Sydney in 1996. He then spent two years working in veterinary practice before undertaking an internship and concurrent Masters degree in Veterinary Medicine at the University of Glasgow; going on to study a PhD in veterinary epidemiology at the Royal Veterinary College, University of London, starting in October 2000. His thesis focussed on the application of new spatial analytical methods to decision-making and resource-allocation in veterinary diseases. He spent two years working as an epidemiologist at Imperial College London before moving to the School of Population Health, University of Queensland, where he is currently employed as a Senior Lecturer in epidemiology.

Product details

  • Format: Kindle Edition
  • File Size: 3968 KB
  • Print Length: 162 pages
  • Publisher: Oxford University Press; 1 edition (25 July 2008)
  • Sold by: Amazon Media EU S.à r.l.
  • Language: English
  • ASIN: B001UV3BXQ
  • Text-to-Speech: Enabled
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  • Enhanced Typesetting: Not Enabled
  • Average Customer Review: 4.5 out of 5 stars 2 customer reviews
  • Amazon Bestsellers Rank: #1,471,255 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
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Top Customer Reviews

Format: Paperback
After trying a few other spatial epidemiology texts, I have finally found one that I understand! Its laid out in a logical manner, and the explanations for different methods actually tell you what they do, and why you would want to use them...other books I have read tend to focus on the statistics and mathematical equations, without actually going into any details about what the methods are for.

This book is ideal for an epidemiologist wishing to use spatial analysis methodologies and goes through all the basic concepts as well as touching upon the more complex methods.
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By MCG on 17 April 2014
Format: Kindle Edition
The topic is very interesting. However I meet difficulties to use it on windows phone, does not navigate directly and text overlaps.
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Most Helpful Customer Reviews on Amazon.com (beta) (May include reviews from Early Reviewer Rewards Program)

Amazon.com: 4.0 out of 5 stars 6 reviews
4.0 out of 5 stars OK, But Not for Statistical Neophytyes 25 Sept. 2012
By Dennis Hanseman - Published on Amazon.com
Format: Paperback Verified Purchase
The Preface to this book says that "... a basic understanding of epidemiology and statistics is assumed." If you think that basis statistics = a one year course, you would be quite wrong. Just looking at the beginning of the book's index, you would find: additive logistic model, Akaike's information criterion, autoregressive model, Breusch-Pagan test, discriminant analysis, empirical Bayes, and Fourier processing. None of these concepts is explained.

Amazon indicates that this book contains 209 pages. Readers should be aware, however, that there are only 119 pages of actual text. I was stunned when I received the book. After paying over $40, it seemed overly expensive.

These caveats aside, the book is pretty well written, although with a skew toward veterinary rather than human epidemiological concens.
1 of 1 people found the following review helpful
4.0 out of 5 stars Easy and good 20 Oct. 2008
By Fernando Dutra Quintela - Published on Amazon.com
Format: Paperback Verified Purchase
A very good book and very easy to read. It is a good introduction to spatial analysis, statistic is exhaustive although somewhat superficial, and the examples are good. Black and white maps are a problem during reading, although this was solved with the same maps in color in the middle of the book. I am interested in the spatial analisis of the diagnostic lab data and the book has been a good help.
5.0 out of 5 stars SPATIAL ANALYSIS IN EPIDEMIOLOGY 10 Oct. 2010
By omwami - Published on Amazon.com
Format: Paperback Verified Purchase
THIS BOOK HAS OPENED MY MIND TO A NEW AND BETTER WAY OF ANALYZING MASSIVE DATA ON HEALTH ISSUES AND SPACE. IT SHOWS HOW MUCH GIS CAN DO FOR HEALTH SCIENCE AS WELL AS WHAT IT CANNOT DO. HEALTH PLANNERS WILL FIND THE METHODOLOGIES PRESENTED IN THIS BOOK THE BEST SHORTCUT FOR MAKING CONCLUSIONS ON THE RELATIOSHIPS BETWEEN ENVIRONMENT AND HEALTH IN A GIVEN PLACE.
5.0 out of 5 stars Five Stars 22 Sept. 2014
By Steven P. Sanderson - Published on Amazon.com
Format: Paperback Verified Purchase
Pretty good so far. It's good for mathematical lay people like me
5 of 5 people found the following review helpful
3.0 out of 5 stars Not for beginners 22 Oct. 2008
By Eleodes - Published on Amazon.com
Format: Paperback
This book includes more types of spatial analyses than I have previously seen under one roof, so to speak. However, it does not cover any analyses in detail, nor does it provide any worked examples! As a consequence, this book is not appropriate for those who are new to spatial stats or who need some practical experience with them. For practitioners who are already familiar with basic spatial analyses (e.g. Moran's I, semivariance), then the book offers some related methods and does a nice job of concisely summarizing and comparing different tests.
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