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dc.contributorVirginia Tech
dc.contributor.authorAlthouse, Benjamin M.
dc.contributor.authorScarpino, Samuel V.
dc.contributor.authorMeyers, Lauren Ancel
dc.contributor.authorAyers, John W.
dc.contributor.authorBargsten, Marisa
dc.contributor.authorBaumbach, Joan
dc.contributor.authorBrownstein, John S.
dc.contributor.authorCastro, Lauren
dc.contributor.authorClapham, Hannah
dc.contributor.authorCummings, Derek AT
dc.contributor.authorDel Valle, Sara
dc.contributor.authorEubank, Stephen
dc.contributor.authorFairchild, Geoffrey
dc.contributor.authorFinelli, Lyn
dc.contributor.authorGenerous, Nicholas
dc.contributor.authorGeorge, Dylan
dc.contributor.authorHarper, David R.
dc.contributor.authorHebert-Dufresne, Laurent
dc.contributor.authorJohansson, Michael A.
dc.contributor.authorKonty, Kevin
dc.contributor.authorLipsitch, Marc
dc.contributor.authorMillinovich, Gabriel
dc.contributor.authorMiller, Joseph D.
dc.contributor.authorNsoesie, Elaine O.
dc.contributor.authorOlson, Donald R.
dc.contributor.authorPaul, Michael|Polgreen, Philip M.
dc.contributor.authorPriedhorsky, Reid
dc.contributor.authorRead, Jonathan M.
dc.contributor.authorRodriguez-Barraquer, Isabel
dc.contributor.authorSmith, Derek J.
dc.contributor.authorStefansen, Christian
dc.contributor.authorSwerdlow, David L.
dc.contributor.authorThompson, Deborah
dc.contributor.authorVespignani, Alessandro
dc.contributor.authorWesolowski, Amy
dc.description.abstractNovel data streams (NDS), such as web search data or social media updates, hold promise for enhancing the capabilities of public health surveillance. In this paper, we outline a conceptual framework for integrating NDS into current public health surveillance. Our approach focuses on two key questions: What are the opportunities for using NDS and what are the minimal tests of validity and utility that must be applied when using NDS? Identifying these opportunities will necessitate the involvement of public health authorities and an appreciation of the diversity of objectives and scales across agencies at different levels (local, state, national, international). We present the case that clearly articulating surveillance objectives and systematically evaluating NDS and comparing the performance of NDS to existing surveillance data and alternative NDS data is critical and has not sufficiently been addressed in many applications of NDS currently in the literature.
dc.description.sponsorshipWe also gratefully acknowledge funding from the Santa Fe Institute, the NIH MIDAS Center of Excellence at the Harvard Center for Communicable Disease Dynamics, William Sick, Mike Frumkin and the Frumkin Falco Family Foundation. BMA and SVS also acknowledge support from the Santa Fe Institute and the Omidyar Group.
dc.subjectdisease surveillance
dc.subjectnovel data streams
dc.subjectdigital surveillance
dc.titleEnhancing disease surveillance with novel data streams: challenges and opportunities
dc.title.serialEJP Data Science

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