Infectious Disease Informatics

Syndromic Surveillance for Public Health and BioDefense

  • Hsinchun Chen
  • Daniel Zeng
  • Ping Yan

Part of the Integrated Series in Information Systems book series (ISIS, volume 21)

Table of contents

  1. Front Matter
    Pages i-xxii
  2. SYNDROMIC SURVEILLANCE SYSTEMS

    1. Front Matter
      Pages 1-1
    2. Hsinchun Chen, Daniel Zeng, Ping Yan
      Pages 3-8
    3. Hsinchun Chen, Daniel Zeng, Ping Yan
      Pages 9-31
    4. Hsinchun Chen, Daniel Zeng, Ping Yan
      Pages 33-48
    5. Hsinchun Chen, Daniel Zeng, Ping Yan
      Pages 49-72
    6. Hsinchun Chen, Daniel Zeng, Ping Yan
      Pages 73-87
    7. Hsinchun Chen, Daniel Zeng, Ping Yan
      Pages 89-103
  3. SYNDROMIC SURVEILLANCE SYSTEM CASE STUDIES

    1. Front Matter
      Pages 105-108
    2. Hsinchun Chen, Daniel Zeng, Ping Yan
      Pages 109-119
    3. Hsinchun Chen, Daniel Zeng, Ping Yan
      Pages 121-131
    4. Hsinchun Chen, Daniel Zeng, Ping Yan
      Pages 133-145
    5. Hsinchun Chen, Daniel Zeng, Ping Yan
      Pages 147-155
    6. Hsinchun Chen, Daniel Zeng, Ping Yan
      Pages 157-165
    7. Hsinchun Chen, Daniel Zeng, Ping Yan
      Pages 167-175
    8. Hsinchun Chen, Daniel Zeng, Ping Yan
      Pages 177-181
    9. Hsinchun Chen, Daniel Zeng, Ping Yan
      Pages 183-186
    10. Hsinchun Chen, Daniel Zeng, Ping Yan
      Pages 187-189
  4. Back Matter
    Pages 191-209

About this book

Introduction

Computer-based infectious disease surveillance systems are capable of real-time or near real-time detection of serious illnesses and potential bioterrorism agent exposures and represent a major step forward in disease surveillance.  Infectious Disease Informatics: Syndromic Surveillance for Public Health and Bio-Defense is an in-depth monograph that analyzes and evaluates the outbreak modeling and detection capabilities of existing surveillance systems under a unified framework, and presents the first book-length coverage of the subject from an informatics-driven perspective.

Individual chapters consider the state of the art, including the facilitation of data collection, sharing and transmission; a focus on various outbreak detection methods; data visualization and information dissemination issues; and system assessment and other policy issues.  Eight chapters then report on several real-world case studies, summarizing and comparing eight syndromic surveillance systems, including those that have been adopted by many public health agencies (e.g., RODS and BioSense).  The book concludes with a discussion of critical issues and challenges, with a look to future directions.

This book is an excellent source of current information for researchers in public health and IT.  Government public health officials and private-sector practitioners in both public health and IT will find the most up-to-date information available, and students from a variety of disciplines, including public health, biostatistics, information systems, computer science, and public administration and policy will get a comprehensive look at the concepts, techniques, and practices of syndromic surveillance.

Keywords

Information Technology (IT) Public Health Radiologieinformationssystem assessment biostatistics computer science infectious infectious disease infectious diseases information processing information system modeling search engine marketing (SEM)

Authors and affiliations

  • Hsinchun Chen
    • 1
  • Daniel Zeng
    • 2
  • Ping Yan
    • 2
  1. 1.Information Systems Department of ManagementEller College of ManagementUniversity of ArizonaTucsonU.S.A.
  2. 2.Information Systems Department of ManagementEller College of ManagementUniversity of ArizonaTucsonU.S.A.

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4419-1278-7
  • Copyright Information Springer-Verlag US 2010
  • Publisher Name Springer, Boston, MA
  • eBook Packages Medicine
  • Print ISBN 978-1-4419-1277-0
  • Online ISBN 978-1-4419-1278-7
  • Series Print ISSN 1571-0270
  • About this book