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Displaying results 9 - 11 of 11
  • Content Type: Abstract

    Over the last decade, the application of syndromic surveillance systems has expanded beyond early event detection to include longterm disease trend monitoring. However, statistical methods employed for analyzing syndromic data tend to focus on early… read more
    … event detection. Generalized linear mixed models (GLMMs) may be a useful statistical framework for examining … event detection. Generalized linear mixed models (GLMMs) may be a useful statistical framework for examining …
  • Content Type: Abstract

    Data from the Emergency Departments (EDs) of 49 hospitals in New York City (NYC) is sent to the Department of Health and Mental Hygiene (DOHMH) daily as part of the syndromic surveillance system. Currently, thirty-four of the EDs transmit data as… read more
    … to HL7 Messaging Standard Version 2.5.1. Given there may be differences in data completeness, quality, and … to HL7 Messaging Standard Version 2.5.1. Given there may be differences in data completeness, quality, and …
  • Content Type: Abstract

    Recent efforts to share syndromic surveillance data have focused on developing national systems, namely BioSense 2.01 . The problems with creating and implementing national systems, such as legal issues, difficulties in standardizing syndrome… read more
    … health departments during planned and unplanned events may be informative to national systems. Objective To outline … health departments during planned and unplanned events may be informative to national systems. Objective To outline …