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Airport Pandemic Influenza Screening System can be Improved by New Computer Model
Project leader Robert Brigantic says that the novel tool may prove useful in estimating false negatives, people with influenza who slip through the screening process, and thereby help assess the risk of infected passengers unknowingly spreading disease across the nation.
When there is a confirmed human outbreak of a pandemic influenza virus overseas, authorities the US calls for screening of passengers scheduled to fly into the country at international airports, en route screening and arrival screening at ports-of-entry.
However, the efficacy of screening procedures is not known.
This is the reason why Brigantic and his colleagues-including experts from the Washington-based Pacific Northwest National Laboratory, Tennessee-based Oak Ridge National Laboratory, California-based Lawrence Berkeley National Laboratory, and New Mexico-based Los Alamos National Laboratory-have built a computer model of US airport entry screening that combines epidemiology with knowledge about evolving disease states and conditions of passengers over time.
The researchers have tested their simulation under different pandemic scenarios and carried out an analysis of the impact of alternative mitigative, diagnostic and quarantine measures that can be used.
Their results may help decision makers plan for the resources needed at the port-of-entry airports, anticipate possible developments during a pandemic, and devise appropriate courses of action to prevent the spread of disease through the US.
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