PropertyValue
?:abstract
  • In the current model of first approximation, we suggest a nonlinear heuristic approach by appropriate mathematical modelling, with the main aim – estimate the part of humankind which will survive definitely (in optimistic scenario) As a historical example, let us recall the fate of Inca civilization as pessimistic scenario It seems to be natural, by the existing traditions in theoretical biology, to use theory of recurrent sets (chains of recurrent sets) for describing how population evolves over time Such an approach actually determines a non-linear dependence of self-similar rate of evolution process (or dynamics of infected population) in regard to the proper residual capacity of non-infected part of all the humankind to overcome the pandemic of K-virus (Covid-19) The last is assumed to be associated with “potential of the niche for absorbing the infection”, defining a catastrophic acceleration (or optimistic deceleration) for the dynamics of the infected part of population © 2020, Editura Academiei Romane All rights reserved
is ?:annotates of
?:creator
?:journal
  • Romanian_Reports_in_Physics
?:license
  • unk
?:publication_isRelatedTo_Disease
?:source
  • WHO
?:title
  • A nonlinear heuristic model for estimation of covid-19 impact to world population
?:type
?:who_covidence_id
  • #891124
?:year
  • 2020

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