scholarly journals Better, Stronger, Faster: Why Add Fields to Syndromic Surveillance? New Jersey, 2015

2016 ◽  
Vol 8 (1) ◽  
Author(s):  
Pinar Erdogdu ◽  
Teresa Hamby ◽  
Stella Tsai
Keyword(s):  
Emergency Department ◽  
New Jersey ◽  
Poster Presentation ◽  
Population Health ◽  
Education System ◽  
Surveillance System ◽  
Syndromic Surveillance ◽  
Health Surveillance ◽  
Syndromic Surveillance System ◽  
Emergency Department Data

This poster presentation will describe the inclusion of triage notes into a syndromic surveillance system, Epicenter, to enhance population health surveillance activities. Emergency Department data from EpiCenter and call data from New Jersey Poison Information and Education System related to increased number of synthetic cannabinoid use were evaluated in this analysis.

scholarly journals Rapid Measles Exposure Assessment in an Urban Emergency Department Using a Syndromic Surveillance System

2014 ◽  
Vol 6 (1) ◽  
Author(s):  
Christopher Sikora ◽  
Kerri Fournier ◽  
Hussain Usman ◽  
Angela Jacobs ◽  
Bryan Wicentowich ◽  
...  
Keyword(s):  
Emergency Department ◽  
Exposure Assessment ◽  
Surveillance System ◽  
Syndromic Surveillance ◽  
Syndromic Surveillance System ◽  
Urban Emergency Department

Monitoring Emergency Department Visits From Puerto Rico in the Aftermath of Hurricane Maria Using Syndromic Surveillance – New York City, 2017

2019 ◽  
Vol 14 (1) ◽  
pp. 44-48
Author(s):  
Priscilla W. Wong ◽  
Hilary B. Parton
Keyword(s):  
Emergency Department ◽  
New York ◽  
New York City ◽  
Puerto Rico ◽  
York City ◽  
Surveillance System ◽  
Syndromic Surveillance ◽  
Situational Awareness ◽  
Syndromic Surveillance System ◽  
Ed Visits

ABSTRACTObjective:Syndromic surveillance has been useful for routine surveillance on a variety of health outcomes and for informing situational awareness during public health emergencies. Following the landfall of Hurricane Maria in 2017, the New York City (NYC) Department of Health and Mental Hygiene (DOHMH) implemented an enhanced syndromic surveillance system to characterize related emergency department (ED) visits.Methods:ED visits with any mention of specific key words (“Puerto,” “Rico,” “hurricane,” “Maria”) in the ED chief complaint or Puerto Rico patient home Zip Code were identified from the DOHMH syndromic surveillance system in the 8-week window leading up to and following landfall. Visit volume comparisons pre- and post-Hurricane Maria were performed using Fisher’s exact test.Results:Analyses identified an overall increase in NYC ED utilization relating to Puerto Rico following Hurricane Maria landfall. In particular, there was a small but significant increase in visits involving a medication refill or essential medical equipment. Visits for other outcomes, such as mental illness, also increased, but the differences were not statistically significant.Conclusions:Gaining this situational awareness of medical service use was informative following Hurricane Maria, and, following any natural disaster, the same surveillance methods could be easily established to aid an effective emergency response.

scholarly journals Establishing a nationwide emergency department-based syndromic surveillance system for better public health responses in Taiwan

2008 ◽  
Vol 8 (1) ◽  
Author(s):  
Tsung-Shu Joseph Wu ◽  
Fuh-Yuan Frank Shih ◽  
Muh-Yong Yen ◽  
Jiunn-Shyan Julian Wu ◽  
Shiou-Wen Lu ◽  
...  
Keyword(s):  
Public Health ◽  
Emergency Department ◽  
Surveillance System ◽  
Syndromic Surveillance ◽  
Syndromic Surveillance System

scholarly journals Development and validation of an automated emergency department-based syndromic surveillance system to enhance public health surveillance in Yukon: a lower-resourced and remote setting

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Etran Bouchouar ◽  
Benjamin M. Hetman ◽  
Brendan Hanley
Keyword(s):  
Public Health ◽  
Emergency Department ◽  
Surveillance System ◽  
Syndromic Surveillance ◽  
Validation Dataset ◽  
Free Text ◽  
Mass Gathering ◽  
Syndromic Surveillance System ◽  
Development And Validation ◽  
Remote Setting

Abstract Background Automated Emergency Department syndromic surveillance systems (ED-SyS) are useful tools in routine surveillance activities and during mass gathering events to rapidly detect public health threats. To improve the existing surveillance infrastructure in a lower-resourced rural/remote setting and enhance monitoring during an upcoming mass gathering event, an automated low-cost and low-resources ED-SyS was developed and validated in Yukon, Canada. Methods Syndromes of interest were identified in consultation with the local public health authorities. For each syndrome, case definitions were developed using published resources and expert elicitation. Natural language processing algorithms were then written using Stata LP 15.1 (Texas, USA) to detect syndromic cases from three different fields (e.g., triage notes; chief complaint; discharge diagnosis), comprising of free-text and standardized codes. Validation was conducted using data from 19,082 visits between October 1, 2018 to April 30, 2019. The National Ambulatory Care Reporting System (NACRS) records were used as a reference for the inclusion of International Classification of Disease, 10th edition (ICD-10) diagnosis codes. The automatic identification of cases was then manually validated by two raters and results were used to calculate positive predicted values for each syndrome and identify improvements to the detection algorithms. Results A daily secure file transfer of Yukon’s Meditech ED-Tracker system data and an aberration detection plan was set up. A total of six syndromes were originally identified for the syndromic surveillance system (e.g., Gastrointestinal, Influenza-like-Illness, Mumps, Neurological Infections, Rash, Respiratory), with an additional syndrome added to assist in detecting potential cases of COVID-19. The positive predictive value for the automated detection of each syndrome ranged from 48.8–89.5% to 62.5–94.1% after implementing improvements identified during validation. As expected, no records were flagged for COVID-19 from our validation dataset. Conclusions The development and validation of automated ED-SyS in lower-resourced settings can be achieved without sophisticated platforms, intensive resources, time or costs. Validation is an important step for measuring the accuracy of syndromic surveillance, and ensuring it performs adequately in a local context. The use of three different fields and integration of both free-text and structured fields improved case detection.

scholarly journals Game Plan: Communicable Disease Surveillance for Super Bowl XLVIII – New Jersey, 2014

2015 ◽  
Vol 7 (1) ◽  
Author(s):  
Teresa Hamby ◽  
Andrew Walsh ◽  
Lisa McHugh ◽  
Stella Tsai ◽  
Edward Lifshitz
Keyword(s):  
New Jersey ◽  
Oral Presentation ◽  
Surveillance System ◽  
Disease Surveillance ◽  
Syndromic Surveillance ◽  
Large Scale ◽  
Communicable Disease ◽  
Super Bowl ◽  
Syndromic Surveillance System ◽  
Game Plan

This oral presentation will describe the surveillance planning and activities for a large-scale event (Super Bowl XLVIII) using New Jersey syndromic surveillance system (EpiCenter).

scholarly journals Emergency Department Surveillance as a Proxy For The Prediction of Circulating Respiratory Viral Disease in Eastern Ontario

2013 ◽  
Vol 24 (3) ◽  
pp. 150-154 ◽  
Author(s):  
Geoffrey Hall ◽  
Thomas Krahn ◽  
Anna Majury ◽  
Adam Van Dijk ◽  
Gerald Evans ◽  
...  
Keyword(s):  
Emergency Department ◽  
Surveillance System ◽  
Syndromic Surveillance ◽  
Influenza A ◽  
Viral Disease ◽  
Respiratory Viruses ◽  
Syndromic Surveillance System ◽  
Spearman's Rho ◽  
Spearman’S Rho ◽  
Ed Visits

BACKGROUND: Seasonal outbreaks of winter respiratory viruses are responsible for increases in morbidity and mortality in the community. Previous studies have used hospitalizations, intensive care unit and emergency department (ED) visits as indicators of seasonal influenza incidence.OBJECTIVES: To evaluate whether ED visits can be used as a proxy to detect respiratory viral disease outbreaks, as measured by laboratory confirmation.METHODS: An Emergency Department Syndromic Surveillance system was used to collect ED chief complaints in Eastern Ontario from 2006 to 2010. Comparable laboratory-confirmed cases of respiratory viral infections were collected from the Public Health Ontario Laboratory in Kingston, Ontario. Correlations between ED visits and laboratory-confirmed cases were calculated.RESULTS: Laboratory-confirmed cases of selected respiratory viruses were significantly correlated with ED visits for respiratory and fever/influenza-like illness. In particular, respiratory syncytial virus (Spearman’s rho = 0.593), rhinovirus (Spearman’s rho = 0.280), influenza A (Spearman’s rho = 0.528), influenza B (Spearman’s rho = 0.426) and pH1N1 (Spearman’s rho = 0.470) increased laboratory test levels were correlated with increased volume of ED visits across a number of age demographics. For the entire study population and all studied viruses, the Spearman’s rho was 0.702, suggesting a strong correlation with ED visits. Laboratory-confirmed cases lagged in reporting by between one and two weeks for influenza A and pH1N1 compared with ED visit volume.CONCLUSION: These findings support the use of an Emergency Department Syndromic Surveillance system to track the incidence of respiratory viral disease in the community. These methods are efficient and can be performed using automated electronic data entry versus the inherent delays in the primary care sentinel surveillance system, and can aid the timely implementation of preventive and preparatory health interventions.

Establishing an emergency department syndromic surveillance system to support the London 2012 Olympic and Paralympic Games

2012 ◽  
Vol 29 (12) ◽  
pp. 954-960 ◽  
Author(s):  
Alex J Elliot ◽  
Helen E Hughes ◽  
Thomas C Hughes ◽  
Thomas E Locker ◽  
Tony Shannon ◽  
...  
Keyword(s):  
Emergency Department ◽  
Surveillance System ◽  
Syndromic Surveillance ◽  
Syndromic Surveillance System ◽  
London 2012 ◽  
Paralympic Games
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