Effects of social distancing and isolation on epidemic spreading modeled via dynamical density functional theory

For preventing the spread of epidemics such as the coronavirus disease COVID-19, social distancing and the isolation of infected persons are crucial. However, existing reaction-diffusion equations for epidemic spreading are incapable of describing these effects. In this work, we present an extended...

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Detalles Bibliográficos
Autores principales: te Vrugt, Michael, Bickmann, Jens, Wittkowski, Raphael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7643184/
https://www.ncbi.nlm.nih.gov/pubmed/33149128
http://dx.doi.org/10.1038/s41467-020-19024-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7643184/
https://www.ncbi.nlm.nih.gov/pubmed/33149128
http://dx.doi.org/10.1038/s41467-020-19024-0

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