An integrated framework for building trustworthy data-driven epidemiological models: Application to the COVID-19 outbreak in New York City

Epidemiological models can provide the dynamic evolution of a pandemic but they are based on many assumptions and parameters that have to be adjusted over the time when the pandemic lasts. However, often the available data are not sufficient to identify the model parameters and hence infer the unobs...

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Bibliographic Details
Main Authors: Karniadakis, G. (Author), Lin, G. (Author), Ponce, J. (Author), Zhang, S. (Author), Zhang, Z. (Author)
Format: Article
Language:English
Published: Public Library of Science 2021
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Online Access:View Fulltext in Publisher