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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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| Publicado no: | R Soc Open Sci |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
The Royal Society
2021
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| Assuntos: | |
| Acesso em linha: | 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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