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  • Stanford research follows spread of flu in high school

    Source: http://www.healthcanal.com/public-he...gh-school.html

    Stanford research follows spread of flu in high school
    14/12/2010 04:08:00


    In order to better understand exactly how infectious diseases spread through real-life social networks, a group of Stanford researchers used wireless sensors to track everyone in one American high school during one day of last January's swine flu outbreak...

    ...After collecting the electronic tracking data, the researchers ran thousands of simulations of what would happen if there were a flu outbreak in the school.

    They asked what would happen if there were enough of a vaccine to inoculate only a fraction of the school's population. Would it be better to vaccinate teachers or students? Would it make sense to vaccinate the more popular students, thinking they might have more interactions than their classmates who keep to themselves? Or would it be best to vaccinate a random sample of the population?

    They found it hardly matters whom you inoculate, unless you are certain of how people are interacting with others...

    ...The information gleaned from the high school experiment could be helpful in putting the brakes on the spread of flu in a place like a school, where outbreaks sometimes lead to the closure of an entire facility. But Salath? stresses that authorities must consider the medical, social and ethical ramifications of doing what they did ? tracking the movements and whereabouts of an entire population ? on a larger scale.

    Along with Jones, Salath?'s Stanford co-authors on the PNAS article are biologist Marcus Feldman and computer scientists Maria Kazandjieva, Jung Woo Lee and Philip Levis. Their research was funded by a Branco Weiss fellowship, the National Science Foundation, the National Institute of Child Health & Human Development and the National Institutes of Health.

    -30-
    Contact

    Adam Gorlick, Stanford News Service: (650) 725-0224 begin_of_the_skype_highlighting**************(650) 725-0224******end_of_the_skype_highlighting begin_of_the_skype_highlighting (650) 725-0224 end_of_the_skype_highlighting, agorlick@stanford.edu
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    James Holland Jones: (650) 723-4824 begin_of_the_skype_highlighting (650) 723-4824 end_of_the_skype_highlighting, jhj1@stanford.edu Marcel Salath?: (408) 386-8916 begin_of_the_skype_highlighting (408) 386-8916 end_of_the_skype_highlighting or (814) 867-4431 begin_of_the_skype_highlighting (814) 867-4431 end_of_the_skype_highlighting, salathe@psu.edu

  • #2
    Re: Stanford research follows spread of flu in high school

    PNAS

    A high-resolution human contact network for infectious disease transmission



    1. Marcel Salath?a,1,2,
    2. Maria Kazandjievab,
    3. Jung Woo Leeb,
    4. Philip Levisb,
    5. Marcus W. Feldmana, and
    6. James H. Jonesc,d


    potential for rapid pandemic spread?are usually transmitted via droplets during close proximity interactions (CPIs). Despite the importance of this transmission route, very little is known about the dynamic patterns of CPIs. Using wireless sensor network technology, we obtained high-resolution data of CPIs during a typical day at an American high school, permitting the reconstruction of the social network relevant for infectious disease transmission. At 94% coverage, we collected 762,868 CPIs at a maximal distance of 3 m among 788 individuals. The data revealed a high-density network with typical small-world properties and a relatively homogeneous distribution of both interaction time and interaction partners among subjects. Computer simulations of the spread of an influenza-like disease on the weighted contact graph are in good agreement with absentee data during the most recent influenza season. Analysis of targeted immunization strategies suggested that contact network data are required to design strategies that are significantly more effective than random immunization. Immunization strategies based on contact network data were most effective at high vaccination coverage.

    full article

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