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Varicella infection modeling.
Author(s) -
Katherine A. Jones,
Patrick D. Finley,
Thomas A. Moore,
Linda K. Nozick,
Nathaniel G. Martin,
Alisa Bandlow,
Richard Detry,
Leland B. Evans,
Taylor Berger
Publication year - 2013
Publication title -
osti oai (u.s. department of energy office of scientific and technical information)
Language(s) - English
Resource type - Reports
DOI - 10.2172/1096254
Subject(s) - outbreak , psychological intervention , infectious disease (medical specialty) , medicine , notional amount , disease , disease control , intensive care medicine , computer science , medical emergency , environmental health , virology , business , nursing , pathology , finance
Infectious diseases can spread rapidly through healthcare facilities, resulting in widespread illness among vulnerable patients. Computational models of disease spread are useful for evaluating mitigation strategies under different scenarios. This report describes two infectious disease models built for the US Department of Veteran Affairs (VA) motivated by a Varicella outbreak in a VA facility. The first model simulates disease spread within a notional contact network representing staff and patients. Several interventions, along with initial infection counts and intervention delay, were evaluated for effectiveness at preventing disease spread. The second model adds staff categories, location, scheduling, and variable contact rates to improve resolution. This model achieved more accurate infection counts and enabled a more rigorous evaluation of comparative effectiveness of interventions.

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