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U.S. airport entry screening in response to pandemic influenza: Modeling and analysis

sharon sanders

Editor-in-Chief & President
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doi:10.1016/j.tmaid.2009.02.006

Copyright © 2009 Elsevier Ltd All rights reserved


U.S. airport entry screening in response to pandemic influenza: Modeling and analysis



John D. Malone<sup>a</sup><sup>, </sup><sup></sup><sup>, </sup><sup></sup>, Robert Brigantic<sup>b</sup>, George A. Muller<sup>b</sup>, Ashok Gadgil<sup>c</sup>, Woody Delp<sup>c</sup>, Benjamin H. McMahon<sup>d</sup>, Russell Lee<sup>e</sup>, Jim Kulesz<sup>e</sup> and F. Matthew Mihelic<sup>e</sup>
<!-- authorsNoEnt --> <sup>a</sup>Center for Disaster and Humanitarian Assistance Medicine, Uniformed Services University of the Health Sciences, 4301 Jones Bridge Road, Bethesda, MD 20814-4799, USA
<sup>b</sup>Pacific Northwest National Laboratory, 902 Battelle Boulevard, P.O. Box 999, Richland, WA 99352, USA
<sup>c</sup>Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, CA 94720, USA
<sup>d</sup>Los Alamos National Laboratory, 30 Bikini Atoll Road, Los Alamos, NM 87545, USA
<sup>e</sup>Oak Ridge National Laboratory, 1 Bethel Valley Road, Oak Ridge, TN 37831, USA

<!-- authorsNoEnt -->
<!-- articleText -->
Received 5 February 2009;
<!-- articleText -->accepted 9 February 2009.
<!-- articleText -->Available online 14 April 2009.
<!-- articleText -->
<!-- articleText --> Summary

Background

A stochastic discrete event simulation model was developed to assess the effectiveness of passenger screening for Pandemic Influenza (PI) at U.S. airport foreign entry.
Methods

International passengers arriving at 18 U.S. airports from Asia, Europe, South America, and Canada were assigned to one of three states: not infected, infected with PI, infected with other respiratory illness. Passengers passed through layered screening then exited the model. 80% screening effectiveness was assumed for symptomatic passengers; 6% asymptomatic passengers.
Results

In the first 100 days of a global pandemic, U.S. airport screening would evaluate over 17 M passengers with 800 K secondary screenings. 11,570 PI infected passengers (majority asymptomatic) would enter the U.S. undetected from all 18 airports. Foreign airport departure screening significantly decreased the false negative (infected/undetected) passengers.

U.S. attack rates: no screening (26.9%–30.9%); screening (26.4%–30.6%); however airport screening results in 800 K–1.8 M less U.S. PI cases; 16 K–35 K less deaths (2% fatality rate). Antiviral medications for travel contact prophylaxis (10 contacts/PI passenger) were high – 8.8 M. False positives from all 18 airports: 100–200/day.

Conclusions


Foreign shore exit screening greatly reduces numbers of PI infected passengers. U.S. airport screening identifies 50% infected individuals; efficacy is limited by the asymptomatic PI infected. Screening will not significantly delay arrival of PI via international air transport, but will reduce the rate of new US cases and subsequent deaths.

<!-- articleText --> Keywords: Pandemic influenza; Airport screening; Influenza transmission

<!-- articleText --> Article Outline

<dl><dt> Introduction</dt><dt> Materials and methods</dt><dt> Results</dt><dt> Discussion</dt><dt> Conflict of interest</dt><dt>Acknowledgements</dt><dt>References</dt></dl>


http://www.sciencedirect.com/scienc...id=10843&md5=44685b11dd53d74a8ef85a4f03e185f2
 
Re: U.S. airport entry screening in response to pandemic influenza: Modeling and analysis

Re-reading these articles is interesting.

Now we have to apply the procedures in reverse. It will be interesting to see if reality matches models.

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Re: U.S. airport entry screening in response to pandemic influenza: Modeling and analysis

Based on those figures 1 infected person every 1469 gains entry, in spite of screening. If you think that 10,000 travellers are entering New Zealand every week from the Americas that would equate to 6.8 people every week. Ok - I am open to correction here!
 
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