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Backcasting COVID-19: A Physics-Informed Estimate for Early Case Incidence

By G. Kevrekidis and others
It is widely accepted that the number of reported cases during the first stages of the COVID-19 pandemic severely underestimates the number of actual cases. We leverage delay embedding theorems of Whitney and Takens and use Gaussian Process regression to estimate the number of cases during the first 2020 wave... Show more
January 31, 2022
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Backcasting COVID-19: A Physics-Informed Estimate for Early Case Incidence
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