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AI Predicts Asymptomatic Carriers of Covid-19


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Faces (some masked) in a crowd.

Researchers have developed a machine learning algorithm that can identify people in a moving crowd who are most likely asymptomatic carriers of the virus that causes COVID-19.

Credit: Gao Han/VCG/Getty Images

Researchers at technology company Synergies Intelligent Systems and Germany's Universität Hamburg have developed a machine learning algorithm that can identify which people in a moving crowd are most likely asymptomatic carriers of Covid-19.

The continuous learning and inference of individual probability (CLIIP) algorithm bases its predictions on global positioning system (GPS)-tracked movement of people in a city, and known cases of infection.

CLIIP's accuracy relies on people using a GPS-based smartphone application that tracks their location to within a meter (3.2 feet), and logging their positive viral test results.

Synergies' Michael Chang said, "With this type of technology, we can quarantine a very small fraction of people—just 3% to 5%—and pretty effectively reduce the effect of the disease."

From IEEE Spectrum
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