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Spatial Analysis in Epidemiology

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Spatial Analysis in Epidemiology provides a practical, comprehensive and up-to-date overview of the use of spatial statistics in epidemiology – the study of the incidence and distribution of diseases. Used appropriately, spatial analytical methods in conjunction with GIS and remotely sensed data can provide significant insights into the biological patterns and processes that underlie disease transmission…

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Spatial Analysis in Epidemiology provides a practical, comprehensive and up-to-date overview of the use of spatial statistics in epidemiology – the study of the incidence and distribution of diseases. Used appropriately, spatial analytical methods in conjunction with GIS and remotely sensed data can provide significant insights into the biological patterns and processes that underlie disease transmission. In turn, these can be used to understand and predict disease prevalence. This user-friendly text brings together the specialised and widely-dispersed literature on spatial analysis to make these methodological tools accessible to epidemiologists for the first time. With its focus is on application rather than theory, Spatial Analysis in Epidemiology includes a wide range of examples taken from both medical (human) and veterinary (animal) disciplines, and describes both infectious diseases and non-infectious conditions. 155 p.

Series: Oxford Biology

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Authors expertises affiliations

  • Dirk U. Pfeiffer. Epidemiology Division, Royal Veterinary College, University of London (UK).
  • Timothy P. Robinson. Food and Agricultural Organisation of the United Nations (Italy).
  • Mark Stevenson. Epicentre, Institute of Veterinary, Animal and Biomedical Sciences, Massey University (New Zealand). Et al…
  • Publication date (digital version): 2008-07 – Oxford University Press; Copyright © 2008 by Oxford University Press.

1 review for Spatial Analysis in Epidemiology

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20 September 2018

… As the authors mention, spatial analysis and GIS are great examples of tools for decision makers who are looking for ways to predict, detect, and control risks and diseases as well as promote health.

Avatar for Mona Choi
Mona Choi