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      Social media in public health

      Author(s): ,
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      Journal: British Medical Bulletin
      Publisher: Oxford University Press (OUP)

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          Abstract

          While social media interactions are currently not fully understood, as individual health behaviors and outcomes are shared online, social media offers an increasingly clear picture of the dynamics of these processes.

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          Digital disease detection--harnessing the Web for public health surveillance.

          John Brownstein, Clark C. Freifeld, Lawrence Madoff (2009)
          Article 0 comments Cited 287 times – based on 0 reviews     Review now
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            HealthMap: Global Infectious Disease Monitoring through Automated Classification and Visualization of Internet Media Reports

            Clark C. Freifeld, Kenneth Mandl, Ben Reis … (2008)
            Objective Unstructured electronic information sources, such as news reports, are proving to be valuable inputs for public health surveillance. However, staying abreast of current disease outbreaks requires scouring a continually growing number of disparate news sources and alert services, resulting in information overload. Our objective is to address this challenge through the HealthMap.org Web application, an automated system for querying, filtering, integrating and visualizing unstructured reports on disease outbreaks. Design This report describes the design principles, software architecture and implementation of HealthMap and discusses key challenges and future plans. Measurements We describe the process by which HealthMap collects and integrates outbreak data from a variety of sources, including news media (e.g., Google News), expert-curated accounts (e.g., ProMED Mail), and validated official alerts. Through the use of text processing algorithms, the system classifies alerts by location and disease and then overlays them on an interactive geographic map. We measure the accuracy of the classification algorithms based on the level of human curation necessary to correct misclassifications, and examine geographic coverage. Results As part of the evaluation of the system, we analyzed 778 reports with HealthMap, representing 87 disease categories and 89 countries. The automated classifier performed with 84% accuracy, demonstrating significant usefulness in managing the large volume of information processed by the system. Accuracy for ProMED alerts is 91% compared to Google News reports at 81%, as ProMED messages follow a more regular structure. Conclusion HealthMap is a useful free and open resource employing text-processing algorithms to identify important disease outbreak information through a user-friendly interface.
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              Surveillance Sans Frontières: Internet-Based Emerging Infectious Disease Intelligence and the HealthMap Project

              John Brownstein, Clark C. Freifeld, Ben Reis … (2008)
              John Brownstein and colleagues discuss HealthMap, an automated real-time system that monitors and disseminates online information about emerging infectious diseases.
              Article 0 comments Cited 143 times – based on 0 reviews     Review now
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                Author and article information

                Journal
                Title: British Medical Bulletin
                Abbreviated Title: British Medical Bulletin
                Publisher: Oxford University Press (OUP)
                ISSN (Print): 0007-1420
                ISSN (Electronic): 1471-8391
                Publication date Created: November 28 2013
                Publication date Created: December 01 2013
                Publication date (Electronic): October 08 2013
                Publication date (Print): December 01 2013
                Volume: 108
                Issue: 1
                Pages: 5-24
                Article
                DOI: 10.1093/bmb/ldt028
                PubMed ID: 24103335
                SO-VID: ed7490be-5b23-4dc7-94e2-0b12fdad9b6e
                Copyright © © 2013
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