Lack of practical identifiability may hamper reliable predictions in COVID-19 epidemic models

Compartmental models are widely adopted to describe and predict the spreading of infectious diseases. The unknown parameters of these models need to be estimated from the data. Furthermore, when some of the model variables are not empirically accessible, as in the case of asymptomatic carriers of co...

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Detalles Bibliográficos
Autores principales: Gallo, Luca, Frasca, Mattia, Latora, Vito, Russo, Giovanni
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for the Advancement of Science 2022
Materias:
Social and Interdisciplinary Sciences
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8769547/
https://www.ncbi.nlm.nih.gov/pubmed/35044820
http://dx.doi.org/10.1126/sciadv.abg5234

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8769547/
https://www.ncbi.nlm.nih.gov/pubmed/35044820
http://dx.doi.org/10.1126/sciadv.abg5234

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