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Medicine

Online Tool Flagged Ebola Outbreak Before Formal WHO Announcement 35

Taco Cowboy (5327) writes Nine days before the announcement from WHO regarding the Ebola outbreak in West Africa, an online tool had the incident flagged. HealthMap, a team of 45 researchers, epidemiologists and software developers at Boston Children's Hospital founded in 2006, hosting an online tool that uses algorithms to scour tens of thousands of social media sites, local news, government websites, infectious-disease physicians' social networks and other sources to detect and track disease outbreaks. Sophisticated software filters irrelevant data, classifies the relevant information, identifies diseases and maps their locations with the help of experts. The tool was introduced in 2006 with a core audience of public health specialists, but that changed as the system evolved and the public became increasingly hungry for information during the swine flu pandemic. To get a feel of how HealthMap works, in the case of the Ebola outbreak, visit the site.
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Online Tool Flagged Ebola Outbreak Before Formal WHO Announcement

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  • by DRJlaw ( 946416 ) on Sunday August 10, 2014 @09:30AM (#47641463)

    Go to the site. Click to the head of the timeline. Look:

    Samples sent to Senegal and France for further tests

    So, if you label the "mystery hemorrhagic fever" as ebola, after the fact or without waiting for confirmatory tests, you too can beat the WHO by 9 days.
    If you ignore that the WHO's detection regime is the one that has doctors and hospitals sending samples laboratories for confirmatory testing, you too can beat the WHO by 9 days.
    If your algorithm identifies dengue fever as ebola based upon "tens of thousands of social media sites, local news, government websites, infectious-disease physicians' social networks and other sources," keep quiet about the fact. Announce your success four months after everyone is sure that it is what you think it is to avoid embarrassing press releases.

    This does not appear to be early epidemiological detection by connecting the social-media-dots. This is jumping-the-gun based on early reporting of the processes of an existing early detection program.

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