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CO poisoning poses a significant public health burden. It is preventable, yet it remains a leading cause of poisoning in the United States. An effective surveillance system is very important for targeting and monitoring CO poisoning.Methods or Description: ED data was analyzed from the Missouri Electronic Surveillance System for the Early Notification of Community-based Epidemics (ESSENCE). The ED chief complaints of CO poisoning in ESSENCE contain keywords such as 'carbon' or 'monoxide'. The Missouri Health Strategic Architectures and Information Cooperative (MOHSAIC) database was used to collect the other information about the CO poisoning cases. Statistical Analysis Software (SAS) (version 9.3) was applied for all the analyses in this study.

Objective

This study demonstrated the utility and importance of ED data as a surveillance tool as cases of CO poisoning were identified in ESSENCE that were not identified in the passive surveillance system (MOHSAIC). The study also demonstrated the potential of ED data to assist in developing effective, more targeted prevention strategies for CO poisoning.

Submitted by knowledge_repo… on

Objective

To enable the early detection of pandemic influenza, we have designed a system to differentiate between severe and mild influenza outbreaks. Historic information about previous pandemics suggested the evaluation of two specific discriminants: (1) the rapid development of disease to pneumonia within 1-2 days and (2) patient age distribution, as the virus usually targets specific age groups. The system is based on the hypothesis that an increased number of diagnosed pneumonia cases offers an early indication of severe influenza outbreaks. This approach is based on the fact that pneumonia cases will appear promptly in a severe influenza outbreak and can be diagnosed immediately in a physician office visit, while a confirmed influenza diagnosis requires a laboratory test. Furthermore, laboratory tests are unlikely to be ordered outside of the expected influenza season.

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Submitted by elamb on

In 2004, the BioDefend (BD) syndromic surveillance (SS) system was implemented in Duval County hospitals (Jacksonville, FL). Daily emergency department chief complaints are manually classified and entered into the BD system by triage personnel. As part of a statewide implementation, the Electronic Surveillance System for the Early Notification of Community-based Epidemics (ESSENCE) began collecting data in the Jacksonville area during the winter of 2007-08. ESSENCE uses an automated data collection, chief complaint parsing and analysis process for data management and analysis. The use of two systems during the same period of time in one area provided a unique opportunity to retrospectively analyze characteristics of the BD and ESSENCE systems.

 

Objective

To compare detection of a community outbreak of influenza-like illness using two SS systems, one using a clinician’s classification of reason for visit and the other using an automated chief complaint parsing algorithm.

Referenced File
Submitted by elamb on

Held on March 14, 2019.

During this 90-minute session, Aaron Kite-Powell, M.S., from CDC and Wayne Loschen, M.S., from JHU-APL provided updates on the NSSP ESSENCE platform and answered the community's questions on ESSENCE functions and features.

The Oregon ESSENCE team has developed a guide for other states to use to set up a web service link to their poison center and extract its data into ESSENCE. It contains advice based on Oregon’s experience in developing its link with its poison center and NDPS, a plug-&-play (almost) Rhapsody configuration file (and instructions) to install, and data dictionaries provided by NPDS.

The publication date is February 1, 2019.

Submitted by ctong on

In response to the threat of biologic terrorism and the resurgence of virulent forms of infectious diseases, technologic advances are being applied to disease surveillance. Syndromic surveillance systems have emerged to capture and analyze health-indicator data to identify abnormal health conditions and enable early detection of outbreaks. Given the limited public health experience with biologic terrorism and the variety of possible terrorism scenarios, the research community is exploring the application of advanced detection technology to prediagnostic syndromic data.

Submitted by elamb on

Presented December 4, 2018.

The Webinar, Introduction of SAS Studio Basics to the BioSense Platform, will include overviews, summaries, tips, tricks, and examples across a number of SAS topics on the BioSense Platform. Some of these topics will include the BioSense Platform SAS Pilot background and summary, the SAS Studio overview and setup, neat SAS features, code examples, and how to perform an API call from ESSENCE.

Presenters

Free text queries are performed by ESSENCE users very often. And increasingly, those free text queries are incorporating negation terms that allow the users to find case definitions when certain terms are not present. This video attempts to explain some of the special cases where negation in free text queries may be confusing for users. The video will mention some features in ESSENCE that you may not be familiar with like the Explain Query button and Advanced Query Tool (AQT).

Submitted by elamb on
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