Welcome to the Surveillance Knowledge Repository

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Objective: To investigate seasonal patterns of gastrointestinal (GI) illness among children and adults.

Content type: Abstract

Bordetella Pertussis outbreaks cause morbidity in all age groups, but the infection is most dangerous for young infants. Pertussis is difficult to diagnose, especially in its early stages, and definitive test results are not available for several days. Because of temporal and geographic... Read more

Content type: Abstract

This paper uses geometric random graph concepts to develop early detection algorithms for the real-time detection and localization of outbreaks.

Content type: Abstract

Of critical importance to the success of syndromic surveillance systems is the ability to collect data in a timely manner and thus ensure rapid detection of disease outbreaks. Most emergency department-based syndromic surveillance systems use information rou-tinely collected in patient care... Read more

Content type: Abstract

We have previously shown that timeliness of detection is influenced both by the data source (e.g., ambulatory vs. emergency department) and demographic characteristics of patient populations (e.g., age). Because epidemic waves are thought to move outward from large cities, patient distance from... Read more

Content type: Abstract

Respiratory viruses cause substantial morbidity and costly resource utilization among young children, especially during the winter months. Accurate estimates of the impact of these viruses are important in guiding prevention efforts and measuring the impact of public health interventions. ... Read more

Content type: Abstract

Health care information is a fundamental source of data for biosurveillance, yet configuring EHRs to report relevant data to health departments is technically challenging, labor intensive, and often requires custom solutions for each installation. Public health agencies wishing to deliver alerts... Read more

Content type: Abstract

The use of spatially-based methods and algorithms in epidemiology and surveillance presents privacy challenges for researchers and public health agencies. We describe a novel method for anonymizing individuals in public health datasets, by transposing their spatial locations through a process... Read more

Content type: Abstract

Methods for locating spatial clusters of diseases are typically variations of the circular scan statistic method. They restrict the number of potential clusters by considering all circular, rectangular, or elliptical regions, and then apply a likelihood ratio test to evaluate the statistical... Read more

Content type: Abstract

This paper describes a modular approach to surveillance system design, ensuring flexibility, scalability and fault tolerance.

Content type: Abstract

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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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