-- Robert Preidt
WEDNESDAY, Sept. 15 (HealthDay News) -- Social networks may help
health officials predict epidemics of flu and other infectious
diseases, according to new research.
Before the start of the 2009 flu season, researchers contacted a
random group of 319 Harvard University undergraduates who, in turn,
named a total of 425 friends. The health of students in the two
groups was monitored through self-reporting and data from Harvard
University Health Services.
On average, the flu appeared in the friends' group about two
weeks before the random group when the researchers used one method
of detection, and 46 days before the epidemic peak when they used
The study was published Sept. 15 in the journal
"We think this may have significant implications for public health," Nicholas Christakis, a professor of medicine, medical sociology and sociology at Harvard, said in a university news release. "Public health officials often track epidemics by following random samples of people or monitoring people after they get sick. But that approach only provides a snapshot of what's currently happening."
Tracking groups of friends might work better, he said.
"By simply asking members of the random group to name friends, and then tracking and comparing both groups, we can predict epidemics before they strike the population at large. This would allow an earlier, more vigorous, and more effective response," Christakis said.
This method could even be used to predict the spread of
behaviors such as drug use or the distribution of ideas or fashion
trends, according to the researchers.
The U.S. National Institute of Allergy and Infectious Diseases
has more about
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