COVID-19: Mechanistic model calibration subject to active and varying non-pharmaceutical interventions

Mathematical models are useful in epidemiology to understand COVID-19 contagion dynamics. We aim to demonstrate the effectiveness of parameter regression methods to calibrate an established epidemiological model describing infection rates subject to active, varying non-pharmaceutical interventions (...

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Detalles Bibliográficos
Autores principales: Willis, Mark J., Wright, Allen, Bramfitt, Victoria, Díaz, Victor Hugo Grisales
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7689354/
https://www.ncbi.nlm.nih.gov/pubmed/33262543
http://dx.doi.org/10.1016/j.ces.2020.116330

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7689354/
https://www.ncbi.nlm.nih.gov/pubmed/33262543
http://dx.doi.org/10.1016/j.ces.2020.116330

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