Bringing COVID-19 data into focus
Using an approach based on computer vision technology, researchers can work back from COVID-19 mortality data to see how infection rates changed on the day a lockdown or similar measure was introduced. The approach could be generally useful in future epidemics and pandemics. The work is published July 14 in Science Advances.
Coauthors Leonor Saiz, professor of biomedical engineering at the University of California, Davis, and Jose Vilar, University of the Basque Country, Spain, wanted to see the effects of non-pharmaceutical interventions such as social distancing, lockdowns and masking in the first year of the pandemic. They looked at daily death reports from European ...










