Evaluating Syndromic Data for Surveillance of Non-infectious Disease

Authors

  • Ramona Lall New York City Department of Health and Mental Hygiene
  • Marc Paladini New York City Department of Health and Mental Hygiene

DOI:

https://doi.org/10.5210/ojphi.v5i1.4544

Abstract

Syndromic surveillance (SS) data has predominantly been used for surveillance of infectious disease and for broad symptom types that could be associated with bioterrorism. This work evaluates several non-infectious disease related syndromes, such as asthma, oral health and hypothermia, by comparing daily syndrome counts and annual hospital syndrome counts based on emergency department (ED) SS data vs. New York Statewide Planning and Research Cooperative System (SPARCS) data. SPARCS data are based on clinical diagnoses providing a means for evaluating how well non-infectious disease trends are captured by ED SS chief complaint data.

Author Biography

Ramona Lall, New York City Department of Health and Mental Hygiene

Ramona Lall is the Syndromic Surveillance Analyst Liaison working with groups interested in using syndromic data for public health surveillance, particularly for non-infectious diseases. She has a PhD in Environmental Health Sciences from New York University.

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Published

2013-03-23

How to Cite

Lall, R., & Paladini, M. (2013). Evaluating Syndromic Data for Surveillance of Non-infectious Disease. Online Journal of Public Health Informatics, 5(1). https://doi.org/10.5210/ojphi.v5i1.4544

Issue

Section

Poster Presentations