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

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

Stella Tsai, Teresa Hamby, Alvin Chu, Jessie A Gleason, Gabrielle M Goodrow, Hui Gu, Edward Lifshitz and Jerald A Fagliano
Disaster medicine and public health preparedness, v 10(3), pp 463-471
Jun 2016
PMID: 27146906

Abstract

Anxiety Disorders - epidemiology Carbon Monoxide Poisoning - epidemiology Cyclonic Storms Emergency Service, Hospital - trends Emergency Service, Hospital - utilization Humans New Jersey - epidemiology Population Surveillance - methods Syndrome
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. 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. 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. 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).

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Collaboration types
Domestic collaboration
Web of Science research areas
Public, Environmental & Occupational Health
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