Enhancing disease surveillance with novel data streams: challenges and opportunities

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dc.contributorVirginia Techen
dc.contributor.authorAlthouse, Benjamin M.en
dc.contributor.authorScarpino, Samuel V.en
dc.contributor.authorMeyers, Lauren Ancelen
dc.contributor.authorAyers, John W.en
dc.contributor.authorBargsten, Marisaen
dc.contributor.authorBaumbach, Joanen
dc.contributor.authorBrownstein, John S.en
dc.contributor.authorCastro, Laurenen
dc.contributor.authorClapham, Hannahen
dc.contributor.authorCummings, Derek A. T.en
dc.contributor.authorDel Valle, Saraen
dc.contributor.authorEubank, Stephenen
dc.contributor.authorFairchild, Geoffreyen
dc.contributor.authorFinelli, Lynen
dc.contributor.authorGenerous, Nicholasen
dc.contributor.authorGeorge, Dylanen
dc.contributor.authorHarper, David R.en
dc.contributor.authorHebert-Dufresne, Laurenten
dc.contributor.authorJohansson, Michael A.en
dc.contributor.authorKonty, Kevinen
dc.contributor.authorLipsitch, Marcen
dc.contributor.authorMillinovich, Gabrielen
dc.contributor.authorMiller, Joseph D.en
dc.contributor.authorNsoesie, Elaine O.en
dc.contributor.authorOlson, Donald R.en
dc.contributor.authorPaul, Michaelen
dc.contributor.authorPriedhorsky, Reiden
dc.contributor.authorRead, Jonathan M.en
dc.contributor.authorRodriguez-Barraquer, Isabelen
dc.contributor.authorSmith, Derek J.en
dc.contributor.authorStefansen, Christianen
dc.contributor.authorSwerdlow, David L.en
dc.contributor.authorThompson, Deborahen
dc.contributor.authorVespignani, Alessandroen
dc.contributor.authorWesolowski, Amyen
dc.contributor.authorPolgreen, Philip M.en
dc.date.accessioned2017-10-27T17:45:21Zen
dc.date.available2017-10-27T17:45:21Zen
dc.date.issued2015en
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.en
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.en
dc.description.versionPublished versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.doihttps://doi.org/10.1140/epjds/s13688-015-0054-0en
dc.identifier.issue17en
dc.identifier.urihttp://hdl.handle.net/10919/79827en
dc.identifier.volume4en
dc.language.isoenen
dc.publisherSpringeren
dc.rightsCreative Commons Attribution 4.0 Internationalen
dc.rights.holderThe Author(s)en
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectdisease surveillanceen
dc.subjectnovel data streamsen
dc.subjectdigital surveillanceen
dc.titleEnhancing disease surveillance with novel data streams: challenges and opportunitiesen
dc.title.serialEJP Data Scienceen
dc.typeArticle - Refereeden

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Destination Area: Global Systems Science (GSS)
Journal Articles, BioMed Central and SpringerOpen
Scholarly Works, Fralin Life Sciences Institute