Validating Syndromic Data for Opioid Overdose Surveillance in Florida

In 2017, FL Department of Health (DOH) became one of thirty-two states plus Washington, D.C funded by the Center for Disease Control and Prevention (CDC) under the ESOOS program. One of the objectives of this funding was to increase the timeliness of reporting on non-fatal opioid overdoses through syndromic surveillance utilizing either the emergency department (ED) or Emergency Medical Services (EMS) data systems. Syndromic case validation is an essential requirement under ESOOS for non-fatal opioid-involved overdose (OIOD).

June 18, 2019

Assessing Definitions of Heroin Overdose in ED & EMS Data Using Hospital Billing Data

In 2016, the Centers for Disease Control and Prevention funded 12 states, under the Enhanced State Opioid Overdose Surveillance (ESOOS) program, to utilize state Emergency Medical Services (EMS) and emergency department syndromic surveillance (SyS) data systems to increase timeliness of state data on drug overdose events. An important component of the ESOOS program is the development and validation of case definitions for drug overdoses for EMS and ED SyS data systems with a focus on small area anomaly detection.

January 25, 2018

Data Sharing Among Three States in the BioSense Platform during the 2017 US Solar Eclipse

In 2016, the BioSense Platform for national syndromic surveillance made substantial enhancements including data processing changes, a national ESSENCE instance, and management tools to support diverse data sharing needs. On August 21, 2017, a total solar eclipse occurred over much of the United States. The event resulted in large gatherings over multiple days to areas in the Path of Totality (PoT). In the days leading up to the event, public health and emergency preparedness included syndromic surveillance in their monitoring plans.

January 25, 2018

Comparing and Contrasting Two ESSENCE Syndrome Definition Query Methods

The Kansas Syndromic Surveillance Program (KSSP) utilizes the ESSENCE v.1.20 program provided by the National Syndromic Surveillance Program to view and analyze Kansas Emergency Department (ED) data. Methods that allow an ESSENCE user to query both the Discharge Diagnosis (DD) and Chief Complaint (CC) fields simultaneously allow for more specific and accurate syndromic surveillance definitions. As ESSENCE use increases, two common methodologies have been developed for querying the data in this way.

January 25, 2018

An Evaluation of Heat-Related Emergency Department Visits Based on Differences in Heat Syndrome Definitions in Northern Illinois

Comparison of heat-related health effects across regions or among different syndromic surveillance systems is problematic due to the lack of a standardized heat-related syndrome definition. While a national standard for common heat-related syndromes would facilitate data comparisons, local customization of syndromes to adjust for unique public health events or characteristics is often necessary to optimize use of syndromic surveillance data.

Objective

August 22, 2018

Evaluation of Syndromic Surveillance Systems in Singapore

Singapore's syndromic surveillance programmes include the monitoring of polyclinics and emergency departments (ED) attendances for acute diarrheal illness, acute respiratory infections, influenza-like illness, acute conjunctivitis and chickenpox.

Objective

We evaluated these syndromic surveillance systems for its representativeness, usefulness and data quality and identified areas for improvement.

April 28, 2019

Use of Control Bar Matrix for Outbreak Detection in Syndromic Surveillance System

Aberration detection methods are essential for analyzing and interpreting large quantity of nonspecific real-time data collected in syndromic surveillance system. However, the challenge lies in distinguishing true outbreak signals from a large amount of false alarm (1). The joint use of surveillance algorithms might be helpful to guide the decision making towards uncertain warning signals.

Objective

To develop and test the method of incorporating different control bars for outbreak detection in syndromic surveillance system

July 06, 2018

Usefulness of Syndromic Surveillance for Early Outbreak Detection in Small Islands: The Case of Mayotte

Mayotte Island, a French overseas department of around 374 km2 and 200 000 inhabitants is located in the North of Mozambique Channel in the Indian Ocean (Figure1). In response to the threat of the pandemic influenza A(H1N1)2009 virus emergence, a syndromic surveillance system has been implemented in order to monitor its spread and its impact on public health (1). This surveillance system which proved to be useful during the influenza pandemic, has been maintained in order to detect infection diseases outbreaks.

Objective

July 06, 2018

Using Syndromic Emergency Department Data to Augment Oral Health Surveillance

Using the chief complaint field from our established syndromic ED system, we developed definitions for potentially preventable oral health visits (OHV) and examined patterns in 2009-2011 data. Under the widest definition, OHV comprised about 1% of ED visits. Adults ages 18 to 29 had markedly higher OHV than other ages, as did certain neighborhoods/EDs. We found more than half of OHV occurred during daytime hours, suggesting opportunities for targeted outreach and education. With some caveats, syndromic ED data provide a useful complement to other oral health surveillance strategies.

July 17, 2018

Enhancing Surveillance for Infectious Disease in the US-Mexico Border Region of Arizona

The Border Infectious Disease Surveillance (BIDS) program was established in 1999 by the Centers for Disease Control and Prevention and Mexico Secretariat of Health, following mandates from the Council of State and Territorial Epidemiologists and the U.S.-Mexico Border health association to improve border surveillance. The BIDS program is a bi-national public health collaboration to create an active sentinel-site surveillance of infectious disease among the U.S.-Mexico border.

May 02, 2019

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