Using Sydromic Surveillance to Track E-cigarette Related Emergency Department Visits

The North Dakota Department of Health (NDDoH) investigated the feasibility of using syndromic surveillance (SyS) data to identify health care visits due to electronic cigarette (e-cigarette) use. E-cigarettes have been associated with injuries and fatalities in all age groups, including young children attracted to the colorful liquid nicotine carriage packaging [1]. Previously, poison control data was the only resource available to the NDDoH for e-cigarette adverse outcomes surveillance.

Objective

August 26, 2017

BioSense Platform Data Flow - Part 3 - Legacy Data Conversion and Transition Plan

The National Syndromic Surveillance Program (NSSP) is conducting a three-part webinar series to describe how data will flow to the BioSense Platform. This comprehensive series explores how data are ingested into the BioSense Platform and ESSENCE application and how BioSense 2.0 data are being migrated.

February 28, 2017

BioSense Platform Data Flow - Part 2 - Introduction to ESSENCE Configuration for BioSense Platform

The National Syndromic Surveillance Program (NSSP) is conducting a three-part webinar series to describe how data will flow to the BioSense Platform. This comprehensive series explores how data are ingested into the BioSense Platform and ESSENCE application and how BioSense 2.0 data are being migrated.

February 28, 2017

BioSense Platform Data Flow - Part 1- Data Ingestion into the BioSense Platform

The National Syndromic Surveillance Program (NSSP) is conducting a three-part webinar series to describe how data will flow to the BioSense Platform. This comprehensive series explores how data are ingested into the BioSense Platform and ESSENCE application and how BioSense 2.0 data are being migrated.

Part 1: Data Ingestion into the BioSense Platform will describe the overall data flow and data structures for the BioSense Platform. The webinar will present the rationale behind the proposed data elements and processing requirements for the new data archive.  

February 28, 2017

Functional Priorities Activity Report

The purpose of this document is to correlate BioSense activities (inclusive of CDC, BGG, User Community) with community defined functional priorities.

October 13, 2017

Law, Policy, and Syndromic Disease Surveillance: A Multi-Site Case Study

SyS systems have great potential to prevent morbidity, injury, and mortality by monitoring population health and providing realtime data to inform public health department decisions. Electronic health information technology and federal, state and local incentives and investments have helped to facilitate their rapid and widespread implementation. As a result, SyS systems operate in the context of laws and regulations that determine their success. An understanding of the effects of this legal environment is crucial to insuring that SyS systems fulfill their potential.

October 13, 2017

Enhancing the BioSense Platform: Findings from an ESSENCE and SAS Pilot Project

BioSense was launched in 2003 by CDC with its primary aim to establish an integrated system of nationwide public health surveillance for the early detection and prompt assessment of potential bioterrorism-related syndromes or other public health emergencies. With the release of CDC’s Surveillance Strategy, BioSense evolved into the National Syndromic Surveillance Program (NSSP).

August 29, 2017

Evaluating the BioSense Syndrome for Heat-Related Illness in Maricopa County, Arizona

Monitoring heat-related illness (HRI) is a public health priority in Maricopa County, Arizona. Since 2006, Maricopa County Department of Public Health has utilized data from hospital discharges, medical examiner preliminary reports, and death certificates to quantify heat-related morbidity and mortality, but these surveillance methods take time. Identifying HRI more quickly would improve situational awareness and allow public health officials to launch a more immediate response to extreme heat events.

August 31, 2017

Sensitivity and Specificity of the Fever Syndromes in BioSense and ESSENCE

Syndromic surveillance refers to the monitoring of disease related events, sets of clinical features (i.e. syndromes), or other indicators in a population. Tennessee obtains emergency department data for syndromic surveillance in standardized HL7 format following the field and value set standards published by the Public Health Information Network. Messages contain information previously unavailable to syndromic surveillance systems, including quantitative values such as recorded temperature.

September 08, 2017

Towards Self Validation: Progress and Roadmap for Automating the Validation of BioSense Partner Facilities

One of the greatest hurdles for BioSense Onboarding is the process of validating data received to ensure it contains Data Elements of Interest (DEOI) needed for syndromic surveillance. Efforts to automate this process are critical to meet existing and future demands for facility onboarding requests as well as provide a foundation for data quality assurance efforts. By automating the validation process, BioSense hopes to:

1. Reduce costs associated with the iterative validation process.

2. Improve BioSense response times for assistance with onboarding.

September 19, 2017

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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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