Health IT Analytics July 21, 2020
Jessica Kent

A predictive analytics model can help researchers better understand how respiratory droplets contribute to the spread of viruses like COVID-19.

A predictive analytics model showed that without masks, six feet of social distance may not be enough to keep one person’s respiratory droplets from reaching someone else, which could contribute to the spread of viruses like COVID-19.

In a study published in the journal Physics of Fluids, a team of international researchers set out to better understand the role that droplet clouds play in the spread of respiratory viruses. Respiratory droplets released when people sneeze, cough, or talk contribute to the spread of COVID-19 and other viruses, the researchers noted.

The team applied existing models for chemical reactions and physics...

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Topics: Analytics, Healthcare System, Patient / Consumer, Provider, Public Health / COVID, Technology
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