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UCLA study finds that if physical distancing measures are relaxed too soon, efforts may have been all for naught

Andrea Bertozzi, distinguished professor of mathematics, joined a team of other mathematicians and scientists to compare the results of three mathematical models of disease transmission that they used to analyze data from local and national governments. The models all highlight the dangers of relaxing public health measures too soon. The study, published in the journal […]

Andrea Bertozzi, distinguished professor of mathematics, joined a team of other mathematicians and scientists to compare the results of three mathematical models of disease transmission that they used to analyze data from local and national governments. The models all highlight the dangers of relaxing public health measures too soon.

The study, published in the journal Proceedings of the National Academy of Sciences, showed that if physical distancing measures in the United States are relaxed while there is still no COVID-19 vaccine or treatment, the number of resulting infections could be about the same as if distancing had never been implemented.

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