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  • 标题:Evaluating Syndromic Data for Surveillance of Non-infectious Disease
  • 本地全文:下载
  • 作者:Ramona Lall ; Marc Paladini
  • 期刊名称:Online Journal of Public Health Informatics
  • 电子版ISSN:1947-2579
  • 出版年度:2013
  • 卷号:5
  • 期号:1
  • 语种:English
  • 出版社:University of Illinois at Chicago
  • 摘要: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.
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