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Enhancing disease surveillance with novel data streams: challenges and opportunities

Research output: Contribution to Journal/Magazine › Journal article › peer-review

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Enhancing disease surveillance with novel data streams: challenges and opportunities. / Althouse, Benjamin M.; Scarpino, Samuel V.; Meyers, Lauren Ancel et al.
In: EPJ Data Science, Vol. 4, No. 1, 17, 01.12.2015, p. 1-8.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Althouse, BM, Scarpino, SV, Meyers, LA, Ayers, JW, Bargsten, M, Baumbach, J, Brownstein, JS, Castro, L, Clapham, H, Cummings, DAT, Del Valle, S, Eubank, S, Fairchild, G, Finelli, L, Generous, N, George, D, Harper, DR, Hébert-Dufresne, L, Johansson, MA, Konty, K, Lipsitch, M, Milinovich, G, Miller, JD, Nsoesie, EO, Olson, DR, Paul, M, Polgreen, PM, Priedhorsky, R, Read, JM, Rodríguez-Barraquer, I, Smith, DJ, Stefansen, C, Swerdlow, DL, Thompson, D, Vespignani, A & Wesolowski, A 2015, 'Enhancing disease surveillance with novel data streams: challenges and opportunities', EPJ Data Science, vol. 4, no. 1, 17, pp. 1-8. https://doi.org/10.1140/epjds/s13688-015-0054-0

APA

Althouse, B. M., Scarpino, S. V., Meyers, L. A., Ayers, J. W., Bargsten, M., Baumbach, J., Brownstein, J. S., Castro, L., Clapham, H., Cummings, D. A. T., Del Valle, S., Eubank, S., Fairchild, G., Finelli, L., Generous, N., George, D., Harper, D. R., Hébert-Dufresne, L., Johansson, M. A., ... Wesolowski, A. (2015). Enhancing disease surveillance with novel data streams: challenges and opportunities. EPJ Data Science, 4(1), 1-8. Article 17. https://doi.org/10.1140/epjds/s13688-015-0054-0

Vancouver

Althouse BM, Scarpino SV, Meyers LA, Ayers JW, Bargsten M, Baumbach J et al. Enhancing disease surveillance with novel data streams: challenges and opportunities. EPJ Data Science. 2015 Dec 1;4(1):1-8. 17. Epub 2015 Oct 16. doi: 10.1140/epjds/s13688-015-0054-0

Author

Althouse, Benjamin M. ; Scarpino, Samuel V. ; Meyers, Lauren Ancel et al. / Enhancing disease surveillance with novel data streams : challenges and opportunities. In: EPJ Data Science. 2015 ; Vol. 4, No. 1. pp. 1-8.

Bibtex

@article{3a7cef13221b4fb2b9e8b22d9e121c6a,
title = "Enhancing disease surveillance with novel data streams: challenges and opportunities",
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.",
keywords = "digital surveillance, disease surveillance, novel data streams",
author = "Althouse, {Benjamin M.} and Scarpino, {Samuel V.} and Meyers, {Lauren Ancel} and Ayers, {John W.} and Marisa Bargsten and Joan Baumbach and Brownstein, {John S.} and Lauren Castro and Hannah Clapham and Cummings, {Derek A T} and {Del Valle}, Sara and Stephen Eubank and Geoffrey Fairchild and Lyn Finelli and Nicholas Generous and Dylan George and Harper, {David R.} and Laurent H{\'e}bert-Dufresne and Johansson, {Michael A.} and Kevin Konty and Marc Lipsitch and Gabriel Milinovich and Miller, {Joseph D.} and Nsoesie, {Elaine O.} and Olson, {Donald R.} and Michael Paul and Polgreen, {Philip M.} and Reid Priedhorsky and Read, {Jonathan M.} and Isabel Rodr{\'i}guez-Barraquer and Smith, {Derek J.} and Christian Stefansen and Swerdlow, {David L.} and Deborah Thompson and Alessandro Vespignani and Amy Wesolowski",
year = "2015",
month = dec,
day = "1",
doi = "10.1140/epjds/s13688-015-0054-0",
language = "English",
volume = "4",
pages = "1--8",
journal = "EPJ Data Science",
issn = "2193-1127",
publisher = "Springer Science + Business Media",
number = "1",

}

RIS

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

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

U2 - 10.1140/epjds/s13688-015-0054-0

DO - 10.1140/epjds/s13688-015-0054-0

M3 - Journal article

AN - SCOPUS:84958762492

VL - 4

SP - 1

EP - 8

JO - EPJ Data Science

JF - EPJ Data Science

SN - 2193-1127

IS - 1

M1 - 17

ER -