Literature DB >> 34038897

Epidemic spreading in an expanded parameter space: the supercritical scaling laws and subcritical metastable phases.

Gaetano Campi1,2, Antonio Valletta3, Andrea Perali2,4, Augusto Marcelli2,5, Antonio Bianconi1,2,6.   

Abstract

While the mathematical laws of uncontrolled epidemic spreading are well known, the statistical physics of coronavirus epidemics with containment measures is currently lacking. The modelling of available data of the first wave of the Covid-19 pandemic in 2020 over 230 days, in different countries representative of different containment policies is relevant to quantify the efficiency of these policies to face the containment of any successive wave. At this aim we have built a 3D phase diagram tracking the simultaneous evolution and the interplay of the doubling time,Td, and the reproductive number,Rtmeasured using the methodological definition used by the Robert Koch Institute. In this expanded parameter space three different main phases,supercritical,criticalandsubcriticalare identified. Moreover, we have found that in thesupercriticalregime withRt> 1 the doubling time is smaller than 40 days. In this phase we have established the power law relation betweenTdand (Rt- 1)-νwith the exponentνdepending on the definition of reproductive number. In thesubcriticalregime whereRt< 1 andTd> 100 days, we have identified arrested metastable phases whereTdis nearly constant.
© 2021 IOP Publishing Ltd.

Entities:  

Keywords:  coronavirus epidemics with containment measures (CEwCM); physical laws of epidemics evolution; power law relation between doubling-time and reproductive number

Year:  2021        PMID: 34038897     DOI: 10.1088/1478-3975/ac059d

Source DB:  PubMed          Journal:  Phys Biol        ISSN: 1478-3967            Impact factor:   2.583


  1 in total

1.  Metastable states in plateaus and multi-wave epidemic dynamics of Covid-19 spreading in Italy.

Authors:  Gaetano Campi; Maria Vittoria Mazziotti; Antonio Valletta; Giampietro Ravagnan; Augusto Marcelli; Andrea Perali; Antonio Bianconi
Journal:  Sci Rep       Date:  2021-06-14       Impact factor: 4.379

  1 in total

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