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  3. Introduction to Statistical Methods for Biosurveillance
  • Cited by 31
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    • Publisher:
      Cambridge University Press
      Publication date:
      March 2013
      February 2013
      ISBN:
      9781139047906
      9780521191340
      DOI:
      https://doi.org/10.1017/CBO9781139047906
      Dimensions:
      (234 x 156 mm)
      Weight & Pages:
      0.67kg, 411 Pages
      Dimensions:
      Weight & Pages:
      • Subjects:
      Statistics for Life Sciences, Medicine and Health, Epidemiology Public Health and Medical Statistics, Medicine, Statistics and Probability
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    Subjects:
    Statistics for Life Sciences, Medicine and Health, Epidemiology Public Health and Medical Statistics, Medicine, Statistics and Probability
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    Book description

    Bioterrorism is not a new threat, but in an increasingly interconnected world, the potential for catastrophic outcomes is greater today than ever. The medical and public health communities are establishing biosurveillance systems designed to proactively monitor populations for possible disease outbreaks as a first line of defense. The ideal biosurveillance system should identify trends not visible to individual physicians and clinicians in near-real time. Many of these systems use statistical algorithms to look for anomalies and to trigger epidemiologic investigation, quantification, localization and outbreak management. This book discusses the design and evaluation of statistical methods for effective biosurveillance for readers with minimal statistical training. Weaving public health and statistics together, it presents basic and more advanced methods, with a focus on empirically demonstrating added value. Although the emphasis is on epidemiologic and syndromic surveillance, the statistical methods can be applied to a broad class of public health surveillance problems.

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