Dynamic parameterization of a modified SEIRD model to analyze and forecast the dynamics of COVID-19 outbreaks in the United States

The rapid spread of the numerous outbreaks of the coronavirus disease 2019 (COVID-19) pandemic has fueled interest in mathematical models designed to understand and predict infectious disease spread, with the ultimate goal of contributing to the decision making of public health authorities. Here, we...

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Detalles Bibliográficos
Autores principales: Davarci, Orhun O., Yang, Emily Y., Viguerie, Alexander, Yankeelov, Thomas E., Lorenzo, Guillermo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer London 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10129322/
https://www.ncbi.nlm.nih.gov/pubmed/37362241
http://dx.doi.org/10.1007/s00366-023-01816-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10129322/
https://www.ncbi.nlm.nih.gov/pubmed/37362241
http://dx.doi.org/10.1007/s00366-023-01816-9

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