The National Syndromic Surveillance Program

Join Michael Coletta, CDC Program Manager, for a presentation on the CDC National Syndromic Surveillance Program (NSSP - formerly known as BioSense).  Following a thorough review of the BioSense Program in 2013, CDC initiated the BioSense Enhancement Initiative (BEI) which builds on the past successes, while addressing areas that need improvement, allowing for a national view of syndromic surveillance that will provide many additional public health benefits.

March 14, 2017

An Ecological Analysis of the Impact of Temperature Inversion on Emergency Department Visits for Respiratory Syndromes and Subsyndromes using BioSense 2.0 Frontend Data

During the winter months, Utah experiences a temperature inversion which traps pollutants, such as fine particle pollution (PM 2.5), in the Salt Lake Valley. A previous study determined the impact of inversion on ED visits for asthma, however similar phenomena have yet to be examined using the BioSense 2.0 syndromic surveillance system. While similar studies utilize a time-stratified case-crossover design, the absence of individually identifiable information on the dashboard precludes the utilization of this methodology.

October 24, 2017

An Evaluation of the Biosense 2.0 "Poisoning by Medicines" Syndrome Using Chief-Complaint Data in Utah

BioSense 2.0 uses predetermined syndromes based upon ICD-9 codes and chief complaint data to allow users to view and analyze data from emergency department (ED) visits, yet further validations of these syndromes are needed. Previous studies have validated syndromic surveillance syndromes by comparing chief complaint data to discharge diagnosis; however, these efforts are not possible for jurisdictions in which facilities do not submit ICD-9 code data. Currently in Utah, the syndromic surveillance data submitted includes only chief complaint information.

September 25, 2017

Assessing the Potential Impact of the BioSense 24-hour Rule Using NC DETECT ED Data

Per a frequently asked questions document on the ISDS website, approximately two thirds of HL7 records received in BioSense do not provide a Visit ID. As a result, BioSense data processing rules use the patient ID, facility ID and earliest date in the record to identify a unique visit. If the earliest dates in records with the same patient ID and facility ID occur within the same 24-hour time frame, those two visits are combined into one visit and the earliest date will be stored.

September 28, 2017

Overcoming Operational Differences to Attain a National Picture for Novel Threats

The May arrival of two cases of Middle East Respiratory Syndrome (MERS) in the US offered CDC’s BioSense SyS Program an opportunity to give CDC’s Emergency Operations Center (EOC) and state-and-local jurisdictions an enhanced national picture of MERS surveillance. BioSense jurisdictions can directly query raw data stored in what is known as “the locker.” However, CDC cannot access these data and critical functions, like creating ad-hoc syndrome definitions within the application are currently not possible. These were obstacles to providing the EOC with MERS information.

November 24, 2017

Comparison of Three Critical Syndrome Classifications: Louisiana vs. BioSense

The Louisiana Office of Public Health (OPH) Infectious Disease Epidemiology Section (IDEpi) conducts emergency department (ED) syndromic surveillance using the Louisiana Early Event Detection System (LEEDS). IDEpi has the capability to define and change syndrome definitions in LEEDS based on surveillance needs and quality assurance activities. IDEpi submits all of the ED data to BioSense, which uses different syndrome definitions than LEEDS. Both BioSense and LEEDS use text and ICD code searches in any available chief complaint, admit reason and diagnosis data.

October 02, 2017

Onboarding - Oregon Experience

From the BioSense 2.0 Onboarding Workgroup meeting, November 5, 2014

Presenter

Laurel Boyd
Acute and Communicable Disease Prevention
Public Health Division
Oregon Health Authority

March 05, 2017

BioSense 2.0 Webinar: Data Flow

Presenters Mike Alletto and Nabarun Dasgupta will describe the process of how data are received, processed and brought forward to the front-end application in BioSense v2.0. Their presentation will include a technical overview of all of the steps that a set of data goes through from the receipt of raw data, deduplication, the binning process, and arrival in the application itself.

Presenters

Mike Alletto, BioSense Redesign Team 
Nabarun Dasgupta, BioSense Redesign Team

Learning Objectives

July 24, 2017

Enterovirus D68 Outbreak SyS Discussion

ISDS Conference Call to discuss surveillance for severe respiratory illness / Enterovirus D68. This call will be an opportunity for syndromic surveillance practitioners to share their experiences conducting their contribution to surveillance for Enterovirus D68.

July 24, 2017

Using Emergency Department Data for Detection of a Synthetic Marijuana Outbreak

Timely access to Emergency Department (ED) Chief Complaint (CC) data, before the definitive diagnosis is established, allows for early outbreak detection and prompt response by public health officials.BioSense 2.0 is a cloud-based application that securely collects, tracks, and shares ED data from participating hospitals around the country. Denver Health (DH) is one of several Colorado hospitals contributing ED Chief Complaint data to BioSense 2.0. In August 2013, ED clinicians reported an increase in patients presenting with excited delirium, possibly related to synthetic marijuana (SM).

December 20, 2017

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INTERNATIONAL SOCIETY FOR
DISEASE SURVEILLANCE

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Braintree, MA 02184
(617) 779 0880
Email:syndromic@syndromic.org

This Knowledge Repository is made possible through the activities of the Centers for Disease Control and Prevention Cooperative Agreement/Grant #1 NU500E000098-01, National Surveillance Program Community of Practice (NSSP-CoP): Strengthening Health Surveillance Capabilities Nationwide, which is in the interest of public health.

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