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  • GraphScan: Detection and Analysis of Free-Form Spatio-Temporal Patterns

    Content Type: Abstract

    By capturing the spatio-temporal organization of the data using a graph, GraphScan avoids the challenges associated with trying to “fit” incoming data into moving windows of predefined shapes and sizes. Whereas the popular space-time permutation… read more
    … every geo- graphical region has a spatial neighbourhood (com- posed of all the regions adjacent to it), it also has a …
  • Learning Specific Detectors of Adverse Events in Multivariate Time Series

    Content Type: Abstract

    This paper describes how powerful detectors of adverse events manifested in multivariate series of bio-surveillance data can be learned using only a few labeled instances of such events.
    … by being able to raise an alert even if none of the com- ponent signals is critical, but if some of them are …
  • Monitoring Dynamic Tempo-Spatial Changes of Influenza-Like Illness During 2005-2007 through Sentinal-Physician Surveillance in Taiwan Using Ring Maps

    Content Type: Abstract

    The global health threat of highly pathogenic avian influenza H5N1 has been increasing rapidly in the world since the crosscountry outbreaks during 2003-04. In South and East Asia, the human influenza A (H3N2) was proved to be seeded… read more
    … Republic of China ( R.O.C.) E-mail: <dachianpig@gmail.com> OBJECTIVE This study describes a visualizing ring maps …
  • Classification of Emergency Department Syndromic Data for Seasonal Influenza Surveillance

    Content Type: Abstract

    We evaluated several classifications of emergency department (ED) syndromic data to ascertain best syndrome classifications for ILI.
    … and excluded one hospital that did not provide ED chief com- plaints. The weekly number of positive viral cultures …
  • Data-Adapted Temporal Alerting Algorithms for Routine Health Monitoring

    Content Type: Abstract

    This paper discusses selection of temporal alerting algorithms for syndromic surveillance to achieve reliable detection performance based on statistical properties and the epidemiological context of the input data. We used quantities calculated from… read more
    … alerting algorithms involve four steps: preconditioning, com- putation of expected values, computation of test sta- …
  • Using NC DETECT Summary Reports to Share Syndromic Information

    Content Type: Abstract

    The North Carolina Disease Event Tracking and Epidemiologic Collection Tool (NC DETECT) provides early event detection and public health situational awareness to hospital-based and public health users statewide. Authorized users are currently able… read more
    … to add comments, select a severity level and view the com- ments of other users in their jurisdiction(s). Several …
  • UPDATE: Bird Flu, the Media and Syndromic Surveillance, 2006-7

    Content Type: Abstract

    While mass media coverage of bird flu often provides specific information that may prevent or contain the disease, it is often less than ideal; the public may become fearful and panic at the news of a potential outbreak of bird… read more
    … Contact, Cynthia F. Racer, MA, MPH Cyndi_genome2000@yahoo.com, Advances in Disease Surveillance 2008;5:55 …
  • Early Aberration Reporting System (EARS) update: present and future

    Content Type: Abstract

    Early Aberration Reporting System (EARS, US Centers for Disease Control and Prevention, EARS Program, MS C-18, Atlanta, GA, USA) is a freeware surveillance tool that can be downloaded from the Center for Disease Control and… read more
    … and K Hayashi.; licensee Emerging Health Threats Journal. www.eht-journal.org 66 Methods EARS is undergoing … to other systems (for example, DiSTRIBuTE, http://www. isdsdistribute.org/). The EARS program plans to also … Threats Journal G Rainisch and K Hayashi. 2011, 4:s144 www.eht-journal.org page 2/2 67 …