Document Detail

Reasons patients present to the emergency department might change during epidemics and be a valuable component of a disease surveillance system.
MedLine Citation:
PMID:  16750306     Owner:  NLM     Status:  MEDLINE    
We hypothesize that the frequency of reasons patients present to the emergency department will change during epidemics and might be a valuable component of a disease surveillance system. We found support for this hypothesis over a two-year period with high frequency days of fever clustering during two periods of increased hospital influenza activity, but not during any other period during the two-years. This methodology appears to be superior to the previous use of triage nurses defining patients with symptom complexes. Such a system could result in online monitoring, be independent of the medical personnel (use of admission secretary), and might be able to identify various epidemics including increased hospital disease activity due to bio-terror attacks, influenza, and food poisoning. This would have important implications for limiting the spread of disease and for the acute planning of distribution of medical resources. Studies are warranted in various settings to determine whether or not changes in the daily frequencies of reasons patients present to the ED will allow identification of epidemics.
Z Shimoni; A Gershon; N Kama; N Dusseldorp; P Froom
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Publication Detail:
Type:  Journal Article     Date:  2006-06-05
Journal Detail:
Title:  Medical hypotheses     Volume:  67     ISSN:  0306-9877     ISO Abbreviation:  Med. Hypotheses     Publication Date:  2006  
Date Detail:
Created Date:  2006-07-21     Completed Date:  2006-10-05     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  7505668     Medline TA:  Med Hypotheses     Country:  Scotland    
Other Details:
Languages:  eng     Pagination:  709-12     Citation Subset:  IM    
Internal Medicine B, Laniado Hospital, Natanyia, Israel.
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MeSH Terms
Disease Outbreaks*
Emergency Service, Hospital / utilization*
Influenza, Human / diagnosis,  epidemiology*
Models, Biological
Population Surveillance*
Public Health Informatics
Retrospective Studies
Sentinel Surveillance*

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

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