Welcome to the Surveillance Knowledge Repository

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Prior work demonstrates the extent to which sampling strategies reduce the power to detect clusters.1 Additionally, the power to detect clusters can vary across space.2 A third, unexplored, effect is how much the sample size impacts the power of spatial cluster detection methods. This research... Read more

Content type: Abstract

Prediction markets are a type of futures market in which users trade shares that pay off if the event to which they are connected occurs. They are used to aggregate knowledge on a large scale, as the prices of the various contracts can be interpreted as probabilities of their events. Since 2006... Read more

Content type: Abstract

Emerging and re-emerging infectious diseases are a serious threat to global public health. The World Health Organization (WHO) has identified more than 1100 epidemic events worldwide in the last 5 years alone. Recently, the emergence of the novel 2009 influenza A (H1N1) virus and the SARS... Read more

Content type: Abstract

Timeliness of information has a key role in disease reporting, and may be easily impaired by several factors affecting data entry and utilization.1 Regarding data entry, previous studies have shown that monitoring strategies, such as telephone reminders and supervision visits ensure reporting... Read more

Content type: Abstract

Standard vocabulary facilitates the routing and filtering of laboratory data to various public health programs. In 2008, Council of State and Territorial Epidemiologists (CSTE) developed 67 Technical Implementation Guides (TIGs) that accompany each condition and contain standard codes for NNC... Read more

Content type: Abstract

The resources available in most public health departments are limited. Access to trained technical personnel and stateof-the-art computing resources are also lacking. Customizable off-the-shelf systems contribute only to creation of information silos, are expensive, and not affordable by the... Read more

Content type: Abstract

Construction of data-sharing network for public health is one of the national scientific data-sharing projects, based on the data resource that distributed at China Center for Disease Control and Prevention (China CDC), universities, research institutes, and scientists, as well as the data from... Read more

Content type: Abstract

The primary goal of the Electronic Syndromic Surveillance system (ESSS) is to monitor trends in non-specific symptoms of illness at the community level in real time. The ESSS includes emergency department chief complaint data that are categorized into eight syndromes: respiratory,... Read more

Content type: Abstract

The HEDSS system was implemented in 2004 to monitor disease activity.1 In all, 18 of 32 emergency departments (ED) and urgent care clinic provide data. Chief complaints are routinely categorized into eight syndromes. The fever/flu syndrome is used for early detection and monitoring of influenza... Read more

Content type: Abstract

Unfortunately, confirmation and notification of all A/H1N1 (2009) patients in Japan was ceased on 24 July when the cumulative number of patients was about 5000. After that, as all suspected patients are not necessarily confirmed or reported, the only official surveillance was the sentinel... Read more

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National Syndromic
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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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