Entry screening for infectious diseases in humans

Selvey, L.A., Antao, C. and Hall, R. (2015) Entry screening for infectious diseases in humans. Emerging Infectious Diseases, 21 2: 197-201. doi:10.3201/eid2102.131610

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Author Selvey, L.A.
Antao, C.
Hall, R.
Title Entry screening for infectious diseases in humans
Journal name Emerging Infectious Diseases   Check publisher's open access policy
ISSN 1080-6059
Publication date 2015-02-01
Year available 2015
Sub-type Article (original research)
DOI 10.3201/eid2102.131610
Open Access Status DOI
Volume 21
Issue 2
Start page 197
End page 201
Total pages 476
Place of publication Atlanta, GA, United States
Publisher U.S. Department of Health and Human Services * Centers for Disease Control and Prevention
Language eng
Formatted abstract
In response to the severe acute respiratory syndrome (SARS) pandemic of 2003 and the influenza pandemic of 2009, many countries instituted border measures as a means of stopping or slowing the spread of disease. The measures, usually consisting of a combination of border entry/exit screening, quarantine, isolation, and communications, were resource intensive, and modeling and observational studies indicate that border screening is not effective at detecting infectious persons. Moreover, border screening has high opportunity costs, financially and in terms of the use of scarce public health staff resources during a time of high need. We discuss the border-screening experiences with SARS and influenza and propose an approach to decision-making for future pandemics. We conclude that outbreak-associated communications for travelers at border entry points, together with effective communication with clinicians and more effective disease control measures in the community, may be a more effective approach to the international control of communicable diseases.
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Non-UQ

Document type: Journal Article
Sub-type: Article (original research)
Collection: School of Public Health Publications
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Citation counts: TR Web of Science Citation Count  Cited 9 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 8 times in Scopus Article | Citations
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