Study says Wikipedia traffic may help track flu levels
The amount of hits recorded on Wikipedia articles could track the spread of influenza and different diseases quicker than existing frameworks, researchers say.
Analysts at Boston Children's Hospital, US, have created a technique for evaluating levels of flu like sickness in the American populace by breaking down Internet movement on particular influenza related Wikipedia articles.
"Every flu season gives new tests and lack of determination to both people in general and also general society wellbeing group," specialists said.
The model by David McIver and John Brownstein gauges influenza levels up to two weeks sooner than information from the Centers for Disease Control and Prevention gets accessible, and faultlessly appraises the week of crest flu movement 17 per cent more frequently than Google Flu Trends information.
McIver and Brownstein computed the amount of times certain Wikipedia articles were gotten to consistently from December 2007 to August 2013.
The model they created performed well both through flu seasons that are more extreme than typical and through occasions, for example, the H1N1 pandemic in 2009 that gained abnormal amounts of media consideration.
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