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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
The Royal Society
2021
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| Materias: | |
| 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 |