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Biosurveillance

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Internet biosurveillance, or Digital Disease Detection, represents a new paradigm of Public Health Governance. While traditional approaches to health prognosis operated with data collected in the clinical diagnosis, Internet biosurveillance studies use the methods and infrastructures of Health Informatics. That means, more precisely, that they use unstructured data from different web-based sources and targets using the collected and processed data and information about changes in health-related behavior. The two main tasks of the Internet biosurveillance are (1) the early detection of epidemic diseases, biochemical, radiological, and nuclear threats (Brownstein et.al. 2009) and (2) the implementation of strategies and measures of sustainable governance in the target areas of health promotion and health education (Walters et al. 2010). Biosurveillance has established itself as an independent discipline in the mid-1990s, as military and civilian agencies began to get interested in...

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Further Readings

  • Albrechtslund, A. (2008). Online social networking as participatory surveillance. First Monday, 13(3). Online: http://firstmonday.org/ojs/index.php/fm/article/viewArticle/2142/1949

  • Brownstein, J. S., et al. (2009). Digital disease detection – Harnessing the web for public health surveillance. The New England Journal of Medicine, 360(21), 2153–2157.

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  • Burkom, H. S., et al. (2008). Decisions in biosurveillance tradeoffs driving policy and research. Johns Hopkins technical digest, 27(4), 299–311.

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  • Eysenbach, G. (2006). Infodemiology: Tracking flu-related searches on the Web for syndromic surveillance. In AMIA Annual Symposium, Proceedings 8/2, 244–248.

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  • Freyer-Dugas, A., et al. (2012). Google Flu Trends: Correlation with emergency department influenza rates and crowding metrics. Clinical Infectious Diseases, 54(15), 463–469.

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  • Ginsberg, J., et al. (2009). Detecting influenza epidemics using search engine query data. In Nature. International weekly journal of science (Vol. 457, pp. 1012–1014).

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  • Paul, M. J., & Dredze, P. (2011). You are what you Tweet: Analyzing Twitter for public health. In Proceedings of the Fifth International AAAI Conference on Weblogs and Social Media. Online: www.aaai.org/ocs/index.php/ICWSM/ICWSM11/paper/.../3264

  • Walters, R. A., et al. (2010). Data sources for biosurveillance. In G. Voeller John (Ed.), Wiley handbook of science and technology for homeland security (Vol. 4, pp. 2431–2447). Hoboken: Wiley.

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Correspondence to Ramón Reichert .

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Reichert, R. (2017). Biosurveillance. In: Schintler, L., McNeely, C. (eds) Encyclopedia of Big Data. Springer, Cham. https://doi.org/10.1007/978-3-319-32001-4_27-1

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  • DOI: https://doi.org/10.1007/978-3-319-32001-4_27-1

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  • Print ISBN: 978-3-319-32001-4

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