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 the pandemic lasts. However, often the available data are not sufficient to identify the model parameters and hence infer the unobserved...

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Detalles Bibliográficos
Autores principales: Zhang, Sheng, Ponce, Joan, Zhang, Zhen, Lin, Guang, Karniadakis, George
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8452065/
https://www.ncbi.nlm.nih.gov/pubmed/34495965
http://dx.doi.org/10.1371/journal.pcbi.1009334

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8452065/
https://www.ncbi.nlm.nih.gov/pubmed/34495965
http://dx.doi.org/10.1371/journal.pcbi.1009334

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