Literature DB >> 24459610

The perfect storm of information: combining traditional and non-traditional data sources for public health situational awareness during hurricane response.

Kelly J Bennett1, Jennifer M Olsen2, Sara Harris1, Sumiko Mekaru3, Alicia A Livinski4, John S Brownstein5.   

Abstract

BACKGROUND: Hurricane Isaac made landfall in southeastern Louisiana in late August 2012, resulting in extensive storm surge and inland flooding. As the lead federal agency responsible for medical and public health response and recovery coordination, the Department of Health and Human Services (HHS) must have situational awareness to prepare for and address state and local requests for assistance following hurricanes. Both traditional and non-traditional data have been used to improve situational awareness in fields like disease surveillance and seismology. This study investigated whether non-traditional data (i.e., tweets and news reports) fill a void in traditional data reporting during hurricane response, as well as whether non-traditional data improve the timeliness for reporting identified HHS Essential Elements of Information (EEI).
METHODS: HHS EEIs provided the information collection guidance, and when the information indicated there was a potential public health threat, an event was identified and categorized within the larger scope of overall Hurricane Issac situational awareness. Tweets, news reports, press releases, and federal situation reports during Hurricane Isaac response were analyzed for information about EEIs. Data that pertained to the same EEI were linked together and given a unique event identification number to enable more detailed analysis of source content. Reports of sixteen unique events were examined for types of data sources reporting on the event and timeliness of the reports.
RESULTS: Of these sixteen unique events identified, six were reported by only a single data source, four were reported by two data sources, four were reported by three data sources, and two were reported by four or more data sources. For five of the events where news tweets were one of multiple sources of information about an event, the tweet occurred prior to the news report, press release, local government\emergency management tweet, and federal situation report. In all circumstances where citizens were reporting along with other sources, the citizen tweet was the earliest notification of the event.
CONCLUSION: Critical information is being shared by citizens, news organizations, and local government representatives. To have situational awareness for providing timely, life-saving public health and medical response following a hurricane, this study shows that non-traditional data sources should augment traditional data sources and can fill some of the gaps in traditional reporting. During a hurricane response where early event detection can save lives and reduce morbidity, tweets can provide a source of information for early warning. In times of limited budgets, investing technical and personnel resources to efficiently and effectively gather, curate, and analyze non-traditional data for improved situational awareness can yield a high return on investment.

Entities:  

Year:  2013        PMID: 24459610      PMCID: PMC3871418          DOI: 10.1371/currents.dis.d2800aa4e536b9d6849e966e91488003

Source DB:  PubMed          Journal:  PLoS Curr        ISSN: 2157-3999


  15 in total

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Authors: 
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6.  Participatory epidemiology: use of mobile phones for community-based health reporting.

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Journal:  PLoS Med       Date:  2010-12-07       Impact factor: 11.069

7.  Notes from the field: carbon monoxide exposures reported to poison centers and related to hurricane Sandy - Northeastern United States, 2012.

Authors: 
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8.  Crowdsourcing, citizen sensing and sensor web technologies for public and environmental health surveillance and crisis management: trends, OGC standards and application examples.

Authors:  Maged N Kamel Boulos; Bernd Resch; David N Crowley; John G Breslin; Gunho Sohn; Russ Burtner; William A Pike; Eduardo Jezierski; Kuo-Yu Slayer Chuang
Journal:  Int J Health Geogr       Date:  2011-12-21       Impact factor: 3.918

9.  Epidemics after natural disasters.

Authors:  John T Watson; Michelle Gayer; Maire A Connolly
Journal:  Emerg Infect Dis       Date:  2007-01       Impact factor: 6.883

10.  Surveillance Sans Frontières: Internet-based emerging infectious disease intelligence and the HealthMap project.

Authors:  John S Brownstein; Clark C Freifeld; Ben Y Reis; Kenneth D Mandl
Journal:  PLoS Med       Date:  2008-07-08       Impact factor: 11.069

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2.  Emergency Medicine Influencers' Twitter Use During the COVID-19 Pandemic: A Mixed-methods Analysis.

Authors:  Maren K Leibowitz; Michael R Scudder; Meghan McCabe; Jennifer L Chan; Matthew R Klein; N Seth Trueger; Danielle M McCarthy
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3.  Evolution of a search: the use of dynamic twitter searches during superstorm sandy.

Authors:  Sara Harris Smith; Kelly J Bennett; Alicia A Livinski
Journal:  PLoS Curr       Date:  2014-09-26
  3 in total

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