Welcome to the Surveillance Knowledge Repository

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Hospital emergency departments in Cook and surrounding counties currently send data to the Cook County Department of Public Health (CCDPH) instance of ESSENCE on CCDPH servers. The cloud instance of ESSENCE has been enhanced to receive and export all meaningful use data elements in the... Read more

Content type: Abstract

A pandemic caused by influenza A/H5N1 or another novel strain could kill millions of people and devastate economies worldwide. Recent computer simulations suggest that an emerging influenza pandemic might be contained in Southeast Asia through rapid detection, antiviral distribution, and other... Read more

Content type: Abstract

Florida has implemented various surveillance methods to augment existing sources of surveillance data and enhance decision making with timely evidence based assessments to guide response efforts post-hurricanes. Historically, data collected from deployed federal assets have been an integral part... Read more

Content type: Abstract

Although rare in the US, the CDC reports 13-14 drinking-water-related disease outbreaks per year, affecting an average of about 1000 people. The US EPA has determined that the distribution system is the most vulnerable component of a drinking water system. Recognizing this vulnerability, water... Read more

Content type: Abstract

This paper describes a simple technique for utilizing linked health information in syndromic surveillance. Using knowledge of which patient encounters resulted in laboratory test requests and prescriptions may improve sensitivity and specificity of detection algorithms.

Content type: Abstract

A number of syndromic surveillance systems include tools that quickly identify potentially large disease outbreak events. However, the high falsepositive rate continues to be a problem in all of these systems. Our earlier work has showed that multi-source information fusion can improve ... Read more

Content type: Abstract

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

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National Health IT Initiatives are helping to advance the state of automated disease surveillance through incentives to health care facilities to implement electronic medical records and provide data to health departments and use collaborative systems to enhance quality of care and patient... Read more

Content type: Abstract

We evaluated several classifications of emergency department (ED) syndromic data to ascertain best syndrome classifications for ILI.

Content type: Abstract

In development for over fourteen years, ESSENCE is a disease surveillance system utilized by public health stakeholders at city, county, state, regional, national, and global levels. The system was developed by a team from the Johns Hopkins University Applied Physics Laboratory (JHU/APL) with... Read more

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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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