Enhancing disease surveillance with novel data streams: challenges and opportunities

Althouse, Benjamin M., Scarpino, Samuel V., Meyers, Lauren Ancel, Ayers, John W., Bargsten, Marisa, Baumbach, Joan, Brownstein, John S., Castro, Lauren, Clapham, Hannah, Cummings, Derek A. T., Del Valle, Sara, Eubank, Stephen, Fairchild, Geoffrey, Finelli, Lyn, Generous, Nicholas, George, Dylan, Harper, David R., Hebert-Dufresne, Laurent, Johansson, Michael A., Konty, Kevin, Lipsitch, Marc, Milinovich, Gabriel, Miller, Joseph D., Nsoesie, Elaine O., Olson, Donald R., Paul, Michael, Polgreen, Philip M., Priedhorsky, Reid, Read, Jonathan M., Rodriguez-Barraquer, Isabel, Smith, Derek J., Stefansen, Christian, Swerdlow, David L., Thompson, Deborah, Vespignani, Alessandro and Wesolowski, Amy (2015) Enhancing disease surveillance with novel data streams: challenges and opportunities. EPJ Data Science, 4 17: 1-8. doi:10.1140/epjds/s13688-015-0054-0

Author Althouse, Benjamin M.
Scarpino, Samuel V.
Meyers, Lauren Ancel
Ayers, John W.
Bargsten, Marisa
Baumbach, Joan
Brownstein, John S.
Castro, Lauren
Clapham, Hannah
Cummings, Derek A. T.
Del Valle, Sara
Eubank, Stephen
Fairchild, Geoffrey
Finelli, Lyn
Generous, Nicholas
George, Dylan
Harper, David R.
Hebert-Dufresne, Laurent
Johansson, Michael A.
Konty, Kevin
Lipsitch, Marc
Milinovich, Gabriel
Miller, Joseph D.
Nsoesie, Elaine O.
Olson, Donald R.
Paul, Michael
Polgreen, Philip M.
Priedhorsky, Reid
Read, Jonathan M.
Rodriguez-Barraquer, Isabel
Smith, Derek J.
Stefansen, Christian
Swerdlow, David L.
Thompson, Deborah
Vespignani, Alessandro
Wesolowski, Amy
Title Enhancing disease surveillance with novel data streams: challenges and opportunities
Journal name EPJ Data Science   Check publisher's open access policy
ISSN 2193-1127
Publication date 2015-12
Year available 2015
Sub-type Article (original research)
DOI 10.1140/epjds/s13688-015-0054-0
Open Access Status DOI
Volume 4
Issue 17
Start page 1
End page 8
Total pages 8
Place of publication Heidelberg, Germany
Publisher SpringerOpen
Collection year 2016
Language eng
Abstract 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.
Keyword Disease surveillance
Novel data streams
Digital surveillance
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2016 Collection
School of Public Health Publications
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