Cost and social distancing dynamics in a mathematical model of COVID-19 with application to Ontario, Canada

A mathematical model of COVID-19 is presented where the decision to increase or decrease social distancing is modelled dynamically as a function of the measured active and total cases as well as the perceived cost of isolating. Along with the cost of isolation, we define an overburden healthcare cos...

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Detalles Bibliográficos
Autores principales: Moyles, I. R., Heffernan, J. M., Kong, J. D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2021
Materias:
Mathematics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8074800/
https://www.ncbi.nlm.nih.gov/pubmed/33972865
http://dx.doi.org/10.1098/rsos.201770

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8074800/
https://www.ncbi.nlm.nih.gov/pubmed/33972865
http://dx.doi.org/10.1098/rsos.201770

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