Early Detection of Possible Outbreaks from Electronic Laboratory Reports

Authors

  • Hwa-Gan Chang New York State Department of Health, Albany, NY, United States
  • Candace Noonan-Toly New York State Department of Health, Albany, NY, United States
  • Jian-Hua Chen New York State Department of Health, Albany, NY, United States
  • Bryon Backenson New York State Department of Health, Albany, NY, United States

DOI:

https://doi.org/10.5210/ojphi.v6i1.5077

Abstract

Positive laboratory test results are required to confirm over 80% of communicable diseases and they are often the first indication of  a disease. The space-time permutation scan statistic only requires disease counts, event date and disease location, which are available from an electronic laboratory reporting system for early detection of potential disease outbreaks. The timeliness in identifying clusters from data submitted by clinical laboratories to the NY statewide electronic laboratory reporting system was earlier than using the traditional method for selected communicable diseases.

Author Biography

Hwa-Gan Chang, New York State Department of Health, Albany, NY, United States

Dr. Chang oversees the design, development, implementation, training, and quality assurance of Electronic Clinical Laboratory Reporting System, Communicable Disease Electronic Surveillance System, and Electronic Syndromic Surveillance System. She conducted various research projects related to infectious disease epidemiology and syndromic surveillance, published over 30 manuscripts in peer review journals, and presented in numerous national conferences.

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Published

2014-03-09

How to Cite

Chang, H.-G., Noonan-Toly, C., Chen, J.-H., & Backenson, B. (2014). Early Detection of Possible Outbreaks from Electronic Laboratory Reports. Online Journal of Public Health Informatics, 6(1). https://doi.org/10.5210/ojphi.v6i1.5077

Issue

Vol. 6 No. 1 (2014)

Section

Oral Presentations

License

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