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The next public health revolution: Public health information fusion and social networks

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  • Khan, A.S.
  • Fleischauer, A.
  • Casani, J.
  • Groseclose, S.L.

Abstract

Social, political, and economic disruptions caused by natural and humancaused public health emergencies have catalyzed public health efforts to expand the scope of biosurveillance and increase the timeliness, quality, and comprehensiveness of disease detection, alerting, response, and prediction. Unfortunately, efforts to acquire, render, and visualize the diversity of health intelligence information are hindered by its wide distribution across disparate fields, multiple levels of government, and the complex interagency environment. Achieving this new level of situation awareness within public health will require a fundamental cultural shift in methods of acquiring, analyzing, and disseminating information. The notion of information "fusion" may provide opportunities to expand data access, analysis, and information exchange to better inform public health action.

Suggested Citation

  • Khan, A.S. & Fleischauer, A. & Casani, J. & Groseclose, S.L., 2010. "The next public health revolution: Public health information fusion and social networks," American Journal of Public Health, American Public Health Association, vol. 100(7), pages 1237-1242.
    • Handle: RePEc:aph:ajpbhl:10.2105/ajph.2009.180489_0
    DOI: 10.2105/AJPH.2009.180489
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    Cited by:

    1. Ibrahim Musa & Hyun Woo Park & Lkhagvadorj Munkhdalai & Keun Ho Ryu, 2018. "Global Research on Syndromic Surveillance from 1993 to 2017: Bibliometric Analysis and Visualization," Sustainability, MDPI, vol. 10(10), pages 1-20, September.
    2. Marco Dettori & Benedetto Arru & Antonio Azara & Andrea Piana & Gavino Mariotti & Maria Veronica Camerada & Paola Stefanelli & Giovanni Rezza & Paolo Castiglia, 2018. "In the Digital Era, Is Community Outrage a Feasible Proxy Indicator of Emotional Epidemiology? The Case of Meningococcal Disease in Sardinia, Italy," IJERPH, MDPI, vol. 15(7), pages 1-8, July.
    3. Kai Chen & Xiaoping Lin & Han Wang & Yujie Qiang & Jie Kong & Rui Huang & Haining Wang & Hui Liu, 2022. "Visualizing the Knowledge Base and Research Hotspot of Public Health Emergency Management: A Science Mapping Analysis-Based Study," Sustainability, MDPI, vol. 14(12), pages 1-23, June.
    4. Samuel V Scarpino & Nedialko B Dimitrov & Lauren Ancel Meyers, 2012. "Optimizing Provider Recruitment for Influenza Surveillance Networks," PLOS Computational Biology, Public Library of Science, vol. 8(4), pages 1-12, April.

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