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

F. Bustamante-Castañeda, J.-G. Caputo, G. Cruz-Pacheco, A. Knippel and F. Mouatamide

Physica A: Statistical Mechanics and its Applications, 2021, vol. 564, issue C

Abstract: 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 isolation strategies: we prove that it is most effective to isolate 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.

Date: 2021
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Citations: View citations in EconPapers (4)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:564:y:2021:i:c:s0378437120308189

DOI: 10.1016/j.physa.2020.125520

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