MIT machine learning model predicts COVID-19 spike with eased quarantines

Machine learning model - disease spread - man wearing mask

The calculation is based on publicly available data combined with outbreak epidemiological equations. MIT has developed a new machine learning model mean to predict the rate and pattern of spread of the COVID-19 novel coronavirus. It predicts that if quarantine regulations are lightened, the disease will spread much faster. The machine learning model was based on established epidemiological equations about outbreaks combined with publicly available data as well as neural network-based inference. When it was applied to the coronavirus spread data from late January to early March, its predictions proved…

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