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Statistical Methods for Disease Clustering

  • Book
  • © 2010

Overview

Authors:
  1. Toshiro Tango

    1. Dept. Technology, National Institute of Public Health, Wako, Saitama, Japan

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  • Historical overview of methods for disease clustering
  • Detailed treatment of selected methods useful for practical investigation of disease clustering
  • Analysis and illustration of methods for a variety of real data sets
  • Includes supplementary material: sn.pub/extras

Part of the book series: Statistics for Biology and Health (SBH)

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Table of contents (9 chapters)

  1. Front Matter

    Pages I-X
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  2. Introduction

    • Toshiro Tango
    Pages 1-7

  3. Clustering and Clusters

    • Toshiro Tango
    Pages 9-31

  4. Disease Mapping: Visualization of Spatial Clustering

    • Toshiro Tango
    Pages 33-47

  5. Tests for Temporal Clustering

    • Toshiro Tango
    Pages 49-70

  6. General Tests for Spatial Clustering: Regional Count Data

    • Toshiro Tango
    Pages 71-111

  7. General Tests for Spatial Clustering : Case-Control Point Data

    • Toshiro Tango
    Pages 113-147

  8. Tests for Space-Time Clustering

    • Toshiro Tango
    Pages 149-179

  9. Focused Tests for Spatial Clustering

    • Toshiro Tango
    Pages 181-210

  10. Space-Time Scan Statistics

    • Toshiro Tango
    Pages 211-233

  11. Back Matter

    Pages 235-247
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Keywords

About this book

This book is intended to provide a text on statistical methods for detecting clus ters and/or clustering of health events that is of interest to ?nal year undergraduate and graduate level statistics, biostatistics, epidemiology, and geography students but will also be of relevance to public health practitioners, statisticians, biostatisticians, epidemiologists, medical geographers, human geographers, environmental scien tists, and ecologists. Prerequisites are introductory biostatistics and epidemiology courses. With increasing public health concerns about environmental risks, the need for sophisticated methods for analyzing spatial health events is immediate. Further more, the research area of statistical tests for disease clustering now attracts a wide audience due to the perceived need to implement wide ranging monitoring systems to detect possible health related bioterrorism activity. With this background and the development of the geographical information system (GIS), the analysis of disease clustering of health events has seen considerable development over the last decade. Therefore, several excellent books on spatial epidemiology and statistics have re cently been published. However, it seems to me that there is no other book solely focusing on statistical methods for disease clustering. I hope that readers will ?nd this book useful and interesting as an introduction to the subject.

Reviews

From the reviews:

“There is an increasing awareness nowadays of environmental health risks, including bioterrorism, together with the development of modern data collection systems. This combination provides a major impetus for the sorts of studies described in this book. … Overall, the book is very practically oriented. … The explanations of the methods are very clear and detailed and the discussion is informative. … the book will be of good use to the novice coming into the subject and also for the initiated wishing to broaden their perspective.” (Martin Crowder, International Statistical Review, Vol. 79 (2), 2011)

“The first introductory chapter informs the reader about the basic classification of disease clustering (temporal clustering, spatial clustering, and space–time clustering), the data used in examples, and software (like R, SaTScan, FleXScan, Splancs). … The suitable audience are experts’ communities either in the medical field or in the mathematical modeling field with the focus on data mining and clustering.” (Adriana Hornikova, Technometrics, Vol. 53 (2), May, 2011)

Authors and Affiliations

  • Dept. Technology, National Institute of Public Health, Wako, Saitama, Japan

    Toshiro Tango

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