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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...
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| Publicat a: | R Soc Open Sci |
|---|---|
| Autors principals: | , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
The Royal Society
2021
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8074800/ https://ncbi.nlm.nih.gov/pubmed/33972865 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1098/rsos.201770 |
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