A.I. models suggest masking policy more cost-effective than lockdown

To wear a mask or not to wear a mask has been a debate in many countries since the COVID-19 outbreak.

A research team published a study in April and used AI behavior models to validate the significance of universal masking in preventing coronavirus spread. They discovered that if over 80 percent of the population started to wear masks on day 50 of the outbreak, it could still curb the coronavirus.

This new pre-print study was published on Arvix.org. in April. Researchers from the University of Cambridge, University College London, Ecole de Guerre Economique, the University of Science and Technology in Hong Kong and the Family Federation of Finland proposed two AI models to predict the impact of mask-wearing on the coronavirus spread

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