Welcome to the Surveillance Knowledge Repository

Click on a topic under the Key Topic Areas section in the left column, then select a resource  from the list of resources that appear for that topic. You may also search for specific topics by entering one or more keywords in the Search bar. You can filter the search results by Content Type, Year, or Author Name.

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Illnesses related to synthetic marijuana use have been reported in many states, including Florida. Because these visits can present with a variety of symptoms, as well as be attributed to numerous diagnosis codes, it can be difficult to identify and quantify these visits. The Electronic... Read more

Content type: Abstract

Syndromic surveillance has historically been used to track infectious disease, but in recent years, many jurisdictions have utilized the systems to conduct all hazards surveillance and provide situational awareness with respect to previously identified issues. Flakka is a synthetic drug (class:... Read more

Content type: Abstract

Oregon’s statewide syndromic surveillance system (Oregon ESSENCE) has been operational since 2012. Non-federal emergency department data (and several of their associated urgent care centers) are the primary source for the system, although other data sources have been added, including de-... Read more

Content type: Abstract

This presentation will focus on how to build ad-hoc queries in ESSENCE.  In addition to teaching the basic mechanics of building queries, the presentation will explore advanced techniques for building complex queries to find specific case definitions in the data.

Presenter

Wayne... Read more

Content type: Webinar

Automated disease surveillance systems that analyze data by syndrome categories have been used to look for outbreaks of disease for about 10 years. Most of these systems notify users of increases in the prevalence of reports in syndrome categories and allow users to view patient level data... Read more

Content type: Abstract

This presentation will focus on how to use queries in ESSENCE.  In addition to teaching the basic mechanics of the application, the presentation will explore advanced techniques for utilizing queries in features like myESSENCE, advanced graphing, and data downloads.

Presenter

Wayne... Read more

Content type: Webinar

The Indiana Public Health Emergency Surveillance System (PHESS) currently receives approximately 5,000 near real-time chief complaint messages from 55 hospital emergency departments daily.  The ISDH partners with the Regenstrief Institute to process, batch, and transmit data every three hours. ... Read more

Content type: Abstract

This presentation will focus on how to share queries in ESSENCE.  In addition to teaching the basic mechanics of the application, the presentation will explore advanced techniques for sharing queries in features like myESSENCE, report manager, and query manager.

Presenter

Wayne... Read more

Content type: Webinar

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... Read more

Content type: Training

In October 2015, the Centers for Disease Control and Prevention (CDC) released health advisory #384 to inform people about increases in fentanyl fatalities. Florida’s statewide syndromic surveillance system, Electronic Surveillance System for the Early Notification of Community-based Epidemics (... Read more

Content type: Abstract

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National Syndromic
Surveillance Program

Email:nssp@cdc.gov

The National Syndromic Surveillance Program (NSSP) is a collaboration among states and public health jurisdictions that contribute data to the BioSense Platform, public health practitioners who use local syndromic surveillance systems, Center for Disease Control and Prevention programs, other federal agencies, partner organizations, hospitals, healthcare professionals, and academic institutions.

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