Early Detection of Possible Outbreaks from Electronic Laboratory Reports

Description: 

New York State has implemented a statewide Electronic Clinical Laboratory Reporting System (ECLRS) to which laboratories can electronically submit test results for reportable conditions. The Communicable Disease Electronic Surveillance System (CDESS) was used by 57 Local Health Departments (LHDs) to transfer ECLRS information and initiate investigations. Currently over 98% of licensed clinical labs are reporting via ECLRS. Positive laboratory test results are required to confirm over 80% of communicable diseases and they are often the first indication of a disease. Early detection of disease outbreaks is important for timely implementation of disease prevention and control measures. The space-time permutation scan statistic only requires disease counts, event date and disease location, which are collected from ECLRS and can be used to detect potential disease outbreaks by identifying spatial-temporal lab report clusters.

Objective

This abstract explains how the space-time permutation scan statistic only requires disease counts, event date and disease location, which are collected from ECLRS and can be used to detect potential disease outbreaks by identifying spatial-temporal lab report clusters.

Primary Topic Areas: 
Original Publication Year: 
2013
Event/Publication Date: 
December, 2013

August 22, 2018

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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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