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dc.contributor.authorPreis, Tobiasen_US
dc.contributor.authorSusannah, Moat Helenen_US
dc.date.accessioned2016-07-18T06:49:14Z
dc.date.available2016-07-18T06:49:14Z
dc.date.issued2014en_US
dc.identifier.otherHPU4160410en_US
dc.identifier.urihttps://lib.hpu.edu.vn/handle/123456789/22310en_US
dc.description.abstractSeasonal influenza outbreaks and pandemics of new strains of the influenza virus affect humans around the globe. However, traditional systems for measuring the spread of flu infections deliver results with one or two weeks delay. Recent research suggests that data on queries made to the search engineGoogle can be used to address this problem, providing real-time estimates of levels of influenza-like illness in a population.en_US
dc.format.extent5 p.en_US
dc.format.mimetypeapplication/pdfen_US
dc.language.isoenen_US
dc.subjectMathematical physicsen_US
dc.subjectEnvironmental scienceen_US
dc.subjectData scienceen_US
dc.subjectComputational social scienceen_US
dc.titleAdaptive nowcasting of influenza outbreaks using Google searchesen_US
dc.typeArticleen_US
dc.size391KBen_US
dc.departmentEducationen_US


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