Epidemic model on a network: analysis and applications to COVID-19

We analyze an epidemic model on a network consisting of susceptible-infected-recovered equations at the nodes coupled by diffusion using a graph Laplacian. We introduce an epidemic criterion and examine different vaccination/containment strategies: we prove that it is most effective to vaccinate a node of highest degree. The model is also useful to evaluate deconfinement scenarios and prevent a so-called second wave. The model has few parameters enabling fitting to the data and the essential ingredient of importation of infected; these features are particularly important for the current COVID-19 epidemic..

Medienart:

Preprint

Erscheinungsjahr:

2019

Erschienen:

2019

Enthalten in:

arXiv.org - (2019) vom: 18. Juni Zur Gesamtaufnahme - year:2019

Sprache:

Englisch

Beteiligte Personen:

Bustamante-Castaneda, F. [VerfasserIn]
Caputo, J. -G. [VerfasserIn]
Cruz-Pacheco, G. [VerfasserIn]
Knippel, A. [VerfasserIn]
Mouatamide, F. [VerfasserIn]

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PPN (Katalog-ID):

XAR010107002