Journal article
Enhancing disease surveillance with novel data streams: challenges and opportunities
EPJ data science, Vol.4(1), pp.1-8
12/01/2015
DOI: 10.1140/epjds/s13688-015-0054-0
PMCID: PMC5156315
PMID: 27990325
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.
Details
- Title: Subtitle
- Enhancing disease surveillance with novel data streams: challenges and opportunities
- Creators
- Benjamin M. Althouse - Santa Fe InstituteSamuel V. Scarpino - Santa Fe InstituteLauren Ancel Meyers - Santa Fe InstituteJohn W. Ayers - San Diego State UniversityMarisa Bargsten - New Mexico Department of HealthJoan Baumbach - New Mexico Department of HealthJohn S. Brownstein - Boston Children's HospitalLauren Castro - Los Alamos National LaboratoryHannah Clapham - Johns Hopkins UniversityDerek A. T. Cummings - Johns Hopkins UniversitySara Del Valle - Los Alamos National LaboratoryStephen Eubank - Virginia TechGeoffrey Fairchild - Los Alamos National LaboratoryLyn Finelli - Centers for Disease Control and PreventionNicholas Generous - Los Alamos National LaboratoryDylan George - United States Department of Health and Human ServicesDavid R. Harper - Chatham HouseLaurent Hebert-Dufresne - Santa Fe InstituteMichael A. Johansson - Centers for Disease Control and PreventionKevin Konty - New York City Department of Health and Mental HygieneMarc Lipsitch - Center for Disease Dynamics, Economics & PolicyGabriel Milinovich - The University of QueenslandJoseph D. Miller - Centers for Disease Control and PreventionElaine O. Nsoesie - Boston Children's HospitalDonald R. Olson - New York City Department of Health and Mental HygieneMichael Paul - Johns Hopkins UniversityPhilip M. Polgreen - University of IowaReid Priedhorsky - Los Alamos National LaboratoryJonathan M. Read - University of LiverpoolIsabel Rodriguez-Barraquer - Johns Hopkins UniversityDerek J. Smith - University of CambridgeChristian Stefansen - Google (United States)David L. Swerdlow - National Center for Immunization and Respiratory DiseasesDeborah Thompson - New Mexico Department of HealthAlessandro Vespignani - Northeastern UniversityAmy Wesolowski - Center for Disease Dynamics, Economics & Policy
- Resource Type
- Journal article
- Publication Details
- EPJ data science, Vol.4(1), pp.1-8
- DOI
- 10.1140/epjds/s13688-015-0054-0
- PMID
- 27990325
- PMCID
- PMC5156315
- NLM abbreviation
- EPJ Data Sci
- ISSN
- 2193-1127
- eISSN
- 2193-1127
- Publisher
- Springer Nature
- Number of pages
- 8
- Grant note
- Frumkin Falco Family Foundation ES/K004255/1 / Economic and Social Research Council; UK Research & Innovation (UKRI); Economic & Social Research Council (ESRC) ES/K004255/1 / ESRC; UK Research & Innovation (UKRI); Economic & Social Research Council (ESRC) Santa Fe Institute U01GM087719 / NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCES; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Institute of General Medical Sciences (NIGMS) Omidyar Group NIH MIDAS Center of Excellence at the Harvard Center for Communicable Disease Dynamics; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA
- Language
- English
- Date published
- 12/01/2015
- Academic Unit
- Infectious Diseases; Epidemiology; Injury Prevention Research Center; Internal Medicine
- Record Identifier
- 9984359952202771
Metrics
17 Record Views