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Author (up) Hojman, S.A.; Asenjo, F.A. doi  openurl
  Title Phenomenological dynamics of COVID-19 pandemic: Meta-analysis for adjustment parameters Type
  Year 2020 Publication Chaos Abbreviated Journal Chaos  
  Volume 30 Issue 10 Pages 12 pp  
  Abstract We present a phenomenological procedure of dealing with the COVID-19 (coronavirus disease 2019) data provided by government health agencies of 11 different countries. Usually, the exact or approximate solutions of susceptible-infected-recovered (or other) model(s) are obtained fitting the data by adjusting the time-independent parameters that are included in those models. Instead of that, in this work, we introduce dynamical parameters whose time-dependence may be phenomenologically obtained by adequately extrapolating a chosen subset of the daily provided data. This phenomenological approach works extremely well to properly adjust the number of infected (and removed) individuals in time for the countries we consider. Besides, it can handle the sub-epidemic events that some countries may experience. In this way, we obtain the evolution of the pandemic without using any a priori model based on differential equations.  
  Address [Hojman, Sergio A.] Univ Adolfo Ibanez, Fac Artes Lib, Dept Ciencias, Santiago 7491169, Chile, Email:;  
  Corporate Author Thesis  
  Publisher Amer Inst Physics Place of Publication Editor  
  Language English Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 1054-1500 ISBN Medium  
  Area Expedition Conference  
  Notes WOS:000585761000001 Approved  
  Call Number UAI @ alexi.delcanto @ Serial 1257  
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