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Development and Application of Syndromic Surveillance for Severe Weather Events Following Hurricane Sandy

Published online by Cambridge University Press:  05 May 2016

Stella Tsai ,
Teresa Hamby ,
Alvin Chu ,
Jessie A. Gleason ,
Gabrielle M. Goodrow ,
Hui Gu ,
Edward Lifshitz  and
Jerald A. Fagliano
Stella Tsai*
Affiliation:
Communicable Disease Service, New Jersey Department of Health, Trenton, New Jersey
Teresa Hamby
Affiliation:
Communicable Disease Service, New Jersey Department of Health, Trenton, New Jersey
Alvin Chu
Affiliation:
Communicable Disease Service, New Jersey Department of Health, Trenton, New Jersey
Jessie A. Gleason
Affiliation:
Environmental and Occupational Health Surveillance Program, New Jersey Department of Health, Trenton, New Jersey
Gabrielle M. Goodrow
Affiliation:
Brown University, Public Health Program, Providence, Rhode Island
Hui Gu
Affiliation:
Communicable Disease Service, New Jersey Department of Health, Trenton, New Jersey
Edward Lifshitz
Affiliation:
Communicable Disease Service, New Jersey Department of Health, Trenton, New Jersey
Jerald A. Fagliano
Affiliation:
Drexel University, Environmental and Occupational Health Program, Dornsife School of Public Health, Philadelphia, Pennsylvania.
*
Correspondence and reprint requests to Stella Tsai, PhD, CIH, PO Box 369, Trenton, NJ 08625-0369 (e-mail: stella.tsai@doh.nj.gov).
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Abstract

Objective

Following Hurricane Superstorm Sandy, the New Jersey Department of Health (NJDOH) developed indicators to enhance syndromic surveillance for extreme weather events in EpiCenter, an online system that collects and analyzes real-time chief complaint emergency department (ED) data and classifies each visit by indicator or syndrome.

Methods

These severe weather indicators were finalized by using 2 steps: (1) key word inclusion by review of chief complaints from cases where diagnostic codes met selection criteria and (2) key word exclusion by evaluating cases with key words of interest that lacked selected diagnostic codes.

Results

Graphs compared 1-month, 3-month, and 1-year periods of 8 Hurricane Sandy-related severe weather event indicators against the same period in the following year. Spikes in overall ED visits were observed immediately after the hurricane for carbon monoxide (CO) poisoning, the 3 disrupted outpatient medical care indicators, asthma, and methadone-related substance use. Zip code level scan statistics indicated clusters of CO poisoning and increased medicine refill needs during the 2 weeks after Hurricane Sandy. CO poisoning clusters were identified in areas with power outages of 4 days or longer.

Conclusions

This endeavor gave the NJDOH a clearer picture of the effects of Hurricane Sandy and yielded valuable state preparation information to monitor the effects of future severe weather events. (Disaster Med Public Health Preparedness. 2016;10:463–471)

Keywords

syndromic surveillancesevere weatherhurricanedisrupted outpatient medical carecarbon monoxide poisoning
Type
Original Research
Information
Disaster Medicine and Public Health Preparedness , Volume 10 , Special Issue 3: Superstorm Sandy , June 2016 , pp. 463 - 471
Copyright
Copyright © Society for Disaster Medicine and Public Health, Inc. 2016 

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