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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The spread of infectious diseases is facilitated by human travel. Infectious diseases are often introduced into a population by travelers and then spread among susceptible individuals. Likewise uninfected susceptible travelers can move into populations sustaining the spread of an infectious... Read more

Content type: Abstract

Public health officials and epidemiologists have been attempting to eradicate syphilis for decades, but national incidence rates are again on the rise. It has been suggested that the syphilis epidemic in the US is a "rare example of unforced, endogenous oscillations in disease incidence, with an... Read more

Content type: Abstract

Time series data involving counts are frequently encountered in many biomedical and public health applications. For example, in disease surveillance, the occurrence of rare infections over time is often monitored by public health officials, and the time series data collected can be used for the... Read more

Content type: Abstract

The time series of syphilis cases has been studied at the country and state level at the yearly basis, and it has been found that syphilis has a periodicity of approximately 10 years. However, to inform prevention efforts, it is important to understand the short term dynamics of disease activity... Read more

Content type: Abstract

Emerging event detection is the process of automatically identifying novel and emerging ideas from text with minimal human intervention. With the rise of social networks like Twitter, topic detection has begun leveraging measures of user influence to identify emerging events. Twitter's highly... Read more

Content type: Abstract

Predictionmarkets have been successfully used to forecast future events in other fields. We adapted this method to provide estimates of the likelihood of H5N1 influenza related events.



The purpose of this study is to compare the results of an H5N1 influenza... Read more

Content type: Abstract

Historically, patients with TB have often been diagnosed late or after death. This delay in diagnosis often occurs because TB is misdiagnosed as an alternative respiratory illness (RI), such as pneumonia . TB infected patients that are not correctly diagnosed when initial symptoms occur may... Read more

Content type: Abstract

Influenza-like illness (ILI) data is collected by an Influenza Sentinel Provider Surveillance Network at the state (Iowa, USA) level. Historically, the Iowa Department of Public Health has maintained 19 different influenza sentinel surveillance sites. Because participation is voluntary,... Read more

Content type: Abstract

The Infectious Disease Society of America’s Emerging Infections Network (EIN) is a sentinel network of over 1,200 practicing infectious disease physicians, supported by the Centers for Disease Control and Prevention (CDC). In January 2012, the EIN listserv fielded a member inquiry about... Read more

Content type: Abstract

Dengue is a mosquito-borne viral disease, and there is considerable evidence that case numbers are rising and geographical distribution of the disease is widening within the United States, and around the world. 

The accuracy and reporting frequency of dengue morbidity and mortality... Read more

Content type: Abstract


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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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