Role of fluctuations in epidemic resurgence after a lockdown.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
19 03 2021
Historique:
received: 25 06 2020
accepted: 03 03 2021
entrez: 20 3 2021
pubmed: 21 3 2021
medline: 7 4 2021
Statut: epublish

Résumé

Most popular statistical models in epidemic evolution focus on the dynamics of average relevant quantities and overlooks the role of small fluctuations on the model parameters. Models for Covid-19 are no exception. In this paper we show that the role of time-correlated fluctuations, far from being negligible, can in fact determine the spreading of an epidemic and, most importantly, the resurgence of the exponential diffusion in the presence of time-limited episodes in promiscuity behaviours. The results found in this work are not only relevant and specific for the Covid-19 epidemic but are more general and can be applied to other epidemics.

Identifiants

pubmed: 33742018
doi: 10.1038/s41598-021-85808-z
pii: 10.1038/s41598-021-85808-z
pmc: PMC7979713
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

6452

Références

J Appl Stat. 2019;46(6):1043-1065
pubmed: 31537954
Biometrics. 2006 Dec;62(4):1170-7
pubmed: 17156292
Science. 2020 Apr 24;368(6489):395-400
pubmed: 32144116
Nature. 2005 Sep 8;437(7056):209-14
pubmed: 16079797
Math Biosci Eng. 2020 Mar 16;17(4):2792-2804
pubmed: 32987496

Auteurs

I Neri (I)

NiPS Lab, Dipartimento di Fisica e Geologia, Università degli studi di Perugia, 06010, Perugia, Italy.

L Gammaitoni (L)

NiPS Lab, Dipartimento di Fisica e Geologia, Università degli studi di Perugia, 06010, Perugia, Italy. luca.gammaitoni@nipslab.org.

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Classifications MeSH