Researchers at the University of Southern California (USC) Marshall School of Business, the University of Pennsylvania’s Wharton School of Business, wealth management advisory firm AgentRisk, and Greece's universities of Athens and Thessaly collaborated on the development of an algorithm that can identify asymptomatic COVID-19 infections in travelers.
The “Eva” algorithm utilizes real-time data to identify high-risk visitors for testing.
The researchers found the algorithm was able to identify nearly twice as many asymptomatic infected travelers to Greece than if the country had depended only on travel restrictions and randomized testing.
Eva was used to weed through data provided by tourists to develop profiles of those likely to be infected and asymptomatic.
From University of Southern California
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