Noyce Conference Room
Workshop
  US Mountain Time
 

Our campus is closed to the public for this event.

Effectively responding to the next pandemic will require robust, timely, and informative surveillance. While traditional surveillance has been invaluable in recognizing and controlling novel influenza pandemics, it is often delayed and limited in geographic resolution. A promising addition to the ecosystem of influenza surveillance systems are new technology-enabled sources such as Google Flu Trends, Biosense 2.0, FluNearYou, and Mappy Health. These next generation surveillance techniques provide a potential wealth of temporal and geographic information beyond that of existing systems.  This high-resolution information can also be used to advance and validate existing dynamical models for influenza.  However, it is unclear which data streams are most appropriate and how to best integrate them: some are expensive, others provide noisy data, others yet are unreliable. The proposed workshop has three primary goals: (1) to facilitate an exchange of ideas on next generation surveillance between researchers, entrepreneurs, and public health decision makers (2) advance our theoretical understanding of the ecological and evolutionary dynamics of influenza, and (3) produce a set of actionable results for integrating these new data into surveillance for pandemic influenza.

SFI Host: 
Sam Scarpino and Ben Althouse

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