Enhancing disease surveillance with novel data streams: challenges and opportunities

被引:103
作者
Althouse, Benjamin M. [1 ]
Scarpino, Samuel V. [1 ]
Meyers, Lauren Ancel [1 ,2 ]
Ayers, John W. [3 ]
Bargsten, Marisa [4 ]
Baumbach, Joan [4 ]
Brownstein, John S. [5 ,6 ,7 ]
Castro, Lauren [8 ]
Clapham, Hannah [9 ]
Cummings, Derek A. T. [9 ]
Del Valle, Sara [8 ]
Eubank, Stephen [10 ,11 ]
Fairchild, Geoffrey [8 ]
Finelli, Lyn [12 ]
Generous, Nicholas [8 ]
George, Dylan [13 ]
Harper, David R. [14 ]
Hebert-Dufresne, Laurent [1 ]
Johansson, Michael A. [15 ]
Konty, Kevin [16 ]
Lipsitch, Marc [17 ]
Milinovich, Gabriel [18 ]
Miller, Joseph D. [19 ]
Nsoesie, Elaine O. [5 ,6 ]
Olson, Donald R. [16 ]
Paul, Michael [20 ]
Polgreen, Philip M. [21 ]
Priedhorsky, Reid [8 ]
Read, Jonathan M. [22 ,23 ]
Rodriguez-Barraquer, Isabel [9 ]
Smith, Derek J. [24 ]
Stefansen, Christian [25 ]
Swerdlow, David L. [26 ]
Thompson, Deborah [4 ]
Vespignani, Alessandro [27 ]
Wesolowski, Amy [17 ]
机构
[1] Santa Fe Inst, Santa Fe, NM 87501 USA
[2] Univ Texas Austin, Austin, TX 78712 USA
[3] San Diego State Univ, San Diego, CA 92182 USA
[4] New Mexico Dept Hlth, Santa Fe, NM USA
[5] Boston Childrens Hosp, Childrens Hosp Informat Program, Boston, MA USA
[6] Harvard Univ, Sch Med, Dept Pediat, Boston, MA 02115 USA
[7] McGill Univ, Dept Epidemiol Biostat & Occupat Hlth, Montreal, PQ, Canada
[8] Los Alamos Natl Lab, Def Syst & Anal Div, Los Alamos, NM USA
[9] Johns Hopkins Bloomberg Sch Publ Hlth, Dept Epidemiol, Baltimore, MD USA
[10] Virginia Tech, Virginia BioInformat Inst, Blacksburg, VA USA
[11] Virginia Tech, Dept Populat Hlth Sci, Blacksburg, VA USA
[12] Ctr Dis Control & Prevent, Influenza Div, Atlanta, GA USA
[13] US Dept HHS, BARDA, ASPR, Washington, DC 20201 USA
[14] Chatham House, London SW1Y 4LE, England
[15] Ctr Dis Control & Prevent, Div Vector Borne Dis, NCEZID, San Juan, PR USA
[16] New York City Dept Hlth & Mental Hyg, Div Epidemiol, New York, NY USA
[17] Harvard Univ, Sch Publ Hlth, Communicable Dis Dynam, Boston, MA 02115 USA
[18] Univ Queensland, Sch Populat Hlth, Brisbane, Qld, Australia
[19] Ctr Dis Control & Prevent, Div Vector Borne Dis, NCEZID, Atlanta, GA USA
[20] Johns Hopkins Univ, Dept Comp Sci, Baltimore, MD 21218 USA
[21] Univ Iowa, Iowa City, IA USA
[22] Univ Liverpool, Inst Infect & Global Hlth, Dept Epidemiol & Populat Hlth, Liverpool CH64 7TE, Merseyside, England
[23] NIHR, Hlth Protect Res Unit Emerging & Zoonot Infect, Liverpool L69 7BE, Merseyside, England
[24] Univ Cambridge, Dept Zool, Cambridge CB2 3EJ, England
[25] Google Inc, Mountain View, CA USA
[26] Ctr Dis Control & Prevent, Natl Ctr Immunizat & Resp Dis, Atlanta, GA USA
[27] Northeastern Univ, Lab Modeling Biol & Sociotech Syst, Boston, MA 02115 USA
关键词
disease surveillance; novel data streams; digital surveillance; PREDICTION;
D O I
10.1140/epjds/s13688-015-0054-0
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
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.
引用
收藏
页码:1 / 8
页数:8
相关论文
共 36 条
[1]   Population Health Concerns During the United States' Great Recession [J].
Althouse, Benjamin M. ;
Allem, Jon-Patrick ;
Childers, Matthew A. ;
Dredze, Mark ;
Ayers, John W. .
AMERICAN JOURNAL OF PREVENTIVE MEDICINE, 2014, 46 (02) :166-170
[2]   Prediction of Dengue Incidence Using Search Query Surveillance [J].
Althouse, Benjamin M. ;
Ng, Yih Yng ;
Cummings, Derek A. T. .
PLOS NEGLECTED TROPICAL DISEASES, 2011, 5 (08)
[3]  
[Anonymous], 2009, NATURE, DOI DOI 10.1038/nature07634
[4]  
[Anonymous], ONLINE J PUBLIC HLTH
[5]  
[Anonymous], WORKING PAPER
[6]  
[Anonymous], 2013, ONLINE J PUBLIC HLTH, DOI [DOI 10.5210/OJPHI.V5I1.4456, 10.5210/ojphi.v5i1.4456]
[7]  
[Anonymous], 2012, MACHINE LEARNING PRO
[8]  
[Anonymous], ARXIV14053612
[9]  
[Anonymous], J FIXED POINT THEORY
[10]   Could Behavioral Medicine Lead the Web Data Revolution? [J].
Ayers, John W. ;
Althouse, Benjamin M. ;
Dredze, Mark .
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 2014, 311 (14) :1399-1400