Early Detection of Possible Outbreaks from Electronic Laboratory Reports | Zendy

Hwa-Gan Chang | Zendy; Candace M. Noonan-Toly | Zendy; Jianhua Chen | Zendy; Bryon Backenson | Zendy

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Early Detection of Possible Outbreaks from Electronic Laboratory Reports

Author(s) -

Hwa-Gan Chang,

Candace M. Noonan-Toly,

Jianhua Chen,

Bryon Backenson

Publication year - 2014

Publication title -

online journal of public health informatics

Language(s) - English

Resource type - Journals

ISSN - 1947-2579

DOI - 10.5210/ojphi.v6i1.5077

Subject(s) - scan statistic , outbreak , communicable disease , disease surveillance , medicine , disease , electronic surveillance , computer science , medical emergency , data mining , virology , statistics , pathology , computer security , public health , mathematics

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.

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