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Managing Emerging Infectious Diseases with Information Systems: Reconceptualizing Outbreak Management Through the Lens of Loose Coupling

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  • Yi-Da Chen

    (Department of Management Information Systems, Eller College of Management, University of Arizona, Tucson, Arizona 85721)

  • Susan A. Brown

    (Department of Management Information Systems, Eller College of Management, University of Arizona, Tucson, Arizona 85721)

  • Paul Jen-Hwa Hu

    (Department of Operations and Information Systems, David Eccles School of Business, University of Utah, Salt Lake City, Utah 84112)

  • Chwan-Chuen King

    (Institute of Epidemiology, College of Public Health, National Taiwan University, Taipei, Taiwan 100, Republic of China)

  • Hsinchun Chen

    (Department of Management Information Systems, Eller College of Management, University of Arizona, Tucson, Arizona 85721)

Abstract

Increasing global connectivity makes emerging infectious diseases (EID) more threatening than ever before. Various information systems (IS) projects have been undertaken to enhance public health capacity for detecting EID in a timely manner and disseminating important public health information to concerned parties. While those initiatives seemed to offer promising solutions, public health researchers and practitioners raised concerns about their overall effectiveness. In this paper, we argue that the concerns about current public health IS projects are partially rooted in the lack of a comprehensive framework that captures the complexity of EID management to inform and evaluate the development of public health IS. We leverage loose coupling to analyze news coverage and contact tracing data from 479 patients associated with the severe acute respiratory syndrome (SARS) outbreak in Taiwan. From this analysis, we develop a framework for outbreak management. Our proposed framework identifies two types of causal circles---coupling and decoupling circles---between the central public health administration and the local capacity for detecting unusual patient cases. These two circles are triggered by important information-centric activities in public health practices and can have significant influence on the effectiveness of EID management. We derive seven design guidelines from the framework and our analysis of the SARS outbreak in Taiwan to inform the development of public health IS. We leverage the guidelines to evaluate current public health initiatives. By doing so, we identify limitations of existing public health IS, highlight the direction future development should consider, and discuss implications for research and public health policy.

Suggested Citation

  • Yi-Da Chen & Susan A. Brown & Paul Jen-Hwa Hu & Chwan-Chuen King & Hsinchun Chen, 2011. "Managing Emerging Infectious Diseases with Information Systems: Reconceptualizing Outbreak Management Through the Lens of Loose Coupling," Information Systems Research, INFORMS, vol. 22(3), pages 447-468, September.
    • Handle: RePEc:inm:orisre:v:22:y:2011:i:3:p:447-468
    DOI: 10.1287/isre.1110.0376
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    References listed on IDEAS

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    2. Amir Hassan Zadeh & Hamed M. Zolbanin & Ramesh Sharda & Dursun Delen, 2019. "Social Media for Nowcasting Flu Activity: Spatio-Temporal Big Data Analysis," Information Systems Frontiers, Springer, vol. 21(4), pages 743-760, August.
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    4. Daniel Gartner & Yiye Zhang & Rema Padman, 2018. "Cognitive workload reduction in hospital information systems," Health Care Management Science, Springer, vol. 21(2), pages 224-243, June.

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