TY - JOUR
T1 - Enhancing disease surveillance with novel data streams
T2 - challenges and opportunities
AU - Althouse, Benjamin M.
AU - Scarpino, Samuel V.
AU - Meyers, Lauren Ancel
AU - Ayers, John W.
AU - Bargsten, Marisa
AU - Baumbach, Joan
AU - Brownstein, John S.
AU - Castro, Lauren
AU - Clapham, Hannah
AU - Cummings, Derek A.T.
AU - Del Valle, Sara
AU - Eubank, Stephen
AU - Fairchild, Geoffrey
AU - Finelli, Lyn
AU - Generous, Nicholas
AU - George, Dylan
AU - Harper, David R.
AU - Hébert-Dufresne, Laurent
AU - Johansson, Michael A.
AU - Konty, Kevin
AU - Lipsitch, Marc
AU - Milinovich, Gabriel
AU - Miller, Joseph D.
AU - Nsoesie, Elaine O.
AU - Olson, Donald R.
AU - Paul, Michael
AU - Polgreen, Philip M.
AU - Priedhorsky, Reid
AU - Read, Jonathan M.
AU - Rodríguez-Barraquer, Isabel
AU - Smith, Derek J.
AU - Stefansen, Christian
AU - Swerdlow, David L.
AU - Thompson, Deborah
AU - Vespignani, Alessandro
AU - Wesolowski, Amy
N1 - Funding Information:
This publication arose from a Santa Fe Institute workshop entitled, “Next Generation Surveillance for the Next Pandemic.” We wish to thank the attendees of this workshop, held May 18th-22nd, 2014 at the Santa Fe Insitute in Santa Fe NM, USA. We 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. Approved for public release LA-UR-14-25873.
Publisher Copyright:
© 2015, Althouse et al.
PY - 2015/12/1
Y1 - 2015/12/1
N2 - Novel 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.
AB - Novel 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.
KW - digital surveillance
KW - disease surveillance
KW - novel data streams
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U2 - 10.1140/epjds/s13688-015-0054-0
DO - 10.1140/epjds/s13688-015-0054-0
M3 - Article
C2 - 27990325
AN - SCOPUS:84958762492
SN - 2193-1127
VL - 4
SP - 1
EP - 8
JO - EPJ Data Science
JF - EPJ Data Science
IS - 1
M1 - 17
ER -