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Nature Computational Science

Machine Learning and Covid-19

New study exhibits how machine learning could improve COVID-19 predictive models. How efficiently the virus jumps from person to person along with how often people come into close contact with each other can't be observed directly, so models must infer their values from available data. The study found that a major downfall of COVID-19 models was that they treated key parameter values as being fixed over time, regardless of the face that these factors shifted dramatically in the real world.
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