Journal Information
Journal ID (publisher-id): OJPHI
ISSN: 1947-2579
Publisher: University of Illinois at Chicago Library
Article Information
©2013 the author(s)
open-access: This is an Open Access article. Authors own copyright of their articles appearing in the Online Journal of Public Health Informatics. Readers may copy articles without permission of the copyright owner(s), as long as the author and OJPHI are acknowledged in the copy and the copy is used for educational, not-for-profit purposes.
Electronic publication date: Day: 4 Month: 4 Year: 2013
collection publication date: Year: 2013
Volume: 5E-location ID: e190
Publisher Id: ojphi-05-190

Enhanced Surveillance during the Democratic National Convention, Charlotte, NC
Lana Deyneka*1
Amy Ising2
Meichun Li2
1North Carolina Division of Public Health, Raleigh, NC, USA;
2University of North Carolina, Chapel Hill, NC, USA
*Lana Deyneka, E-mail: lana.deyneka@dhhs.nc.gov

Abstract
Objective

To describe how the existing state syndromic surveillance system (NC DETECT) was enhanced to facilitate surveillance conducted at the Democratic National Convention in Charlotte, North Carolina from August 31, 2012 to September 10, 2012.

Introduction

North Carolina hosted the 2012 Democratic National Convention, September 3–6, 2012. The NC Epidemiology and Surveillance Team was created to facilitate enhanced surveillance for injuries and illnesses, early detection of outbreaks during the DNC, assist local public health with epidemiologic investigations and response, and produce daily surveillance reports for internal and external stakeholders. Surveillane data were collected from several data sources, including North Carolina Electronic Disease Surveillance System (NC EDSS), triage stations, and the North Carolina Disease Event Tracking and Epidemiologic Collection Tool (NC DETECT).

NC DETECT was created by the North Carolina Division of Public Health (NC DPH) in 2004 in collaboration with the Carolina Center for Health Informatics (CCHI) in the UNC Department of Emergency Medicine to address the need for early event detection and timely public health surveillance in North Carolina using a variety of secondary data sources. The data from emergency departments, the Carolinas Poison Center, the Pre-hospital Medical Information System (PreMIS) and selected Urgent Care Centers were available for monitoring by authorized users during the DNC.

Methods

Within NC DETECT, new dashboards were created that allowed epidemiologists to monitor ED visits and calls to the poison center in the Charlotte area, the greater Cities Readiness Initiative region and the entire state for infectious disease signs and symptoms, injuries and any mention of bioterrorism agents. The dashboards also included a section to view user comments on the information presented in NC DETECT. Data processing changes were also made to improve the timeliness of the EMS data received from PreMIS.

Results

The DNC dashboards added to NC DETECT streamlined the workflow by placing all syndromes and annotations of interest in one place, with the date ranges and locations already pre-selected. Graphs in the dashboards could be easily copied and pasted into situation reports. The prompt development of these user-friendly tools provided effective surveillance for this mass gathering and ensured timely control measures, if necessary.

Conclusions

Syndromic surveillance systems can be enhanced to provide detailed, specific surveillance during mass gathering events. Elements that facilitate this enhancement include strong communication between skilled users and the informatics team, in order to minimize the burden placed on the surveillance team system users, data sources and system developers during the event. The visualizations developed as part of these new dashboards will be leveraged to provide additional tools to other NC DETECT user groups, including hospital-based public health epidemiologists and local health department users.


Acknowledgments

1. Stephanie Griese, MD, MPH Lieutenant Commander, US Public Health Service EIS Officer, CDC, Communicable Disease Branch NC DPH

2. Aaron Fleischauer, PhD, MSPH,Commander, US Public Health Service,Career Epidemiology Field Officer (CEFO),Centers for Disease Control and Prevention (CDC),Communicable Disease Branch NC DPH

3. Jennifer MacFarquhar, RN, MPH, CIC,Career Epidemiology Field Officer,Centers for Disease Control and Prevention,Communicable Disease Branch NC DPH

4. Grace Oguntebi, MPH CDC/CSTE Applied Public Health Informatics Fellow, Communicable Disease Branch NC DPH


References
1.. Lombardo, Joseph S.; Sniegoski, Carol A.; Loschen, Wayne A.; Westercamp, Matthew; Wade, Michael; Dearth, Shandy; Zhang, Guoyan. Public Health Surveillance for Mass Gatherings Johns Hopkins APL Technical Digest27(4)2008;
2.. Kaiser R, Coulombier D. Epidemic intelligence during mass gatheringsEuro Surveill 2006:11.
3.. Ising A, Li M, Deyneka L, Vaughan-Batten H, Waller A. Improving syndromic surveillance for nonpower users: NC DETECT dashboardsEmerging Health Threats Journal 2011;4:11702. [doi: 10.3402/ehtj.v4i0.11702]

Figures
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[Figure ID: f1-ojphi-05-190]

Article Categories:
  • ISDS 2012 Conference Abstracts

Keywords: dashboards, enhanced surveillance, Democratic National Convention.