About: Abstract Some ideas are presented about a geometric motivation of the apparent capacity of generalized logistic equations to describe the outbreak of quite many epidemics, possibly including that of the COVID-19 infection. This interpretation pivots on the complex, possibly fractal, structure of the locus describing the “contagion event set”, and on what can be learnt from the models of trophic webs with “herd behaviour”. Under the hypothesis that the total number of cases, as a function of time, is fitted by a solution of the Generalized Richards Model, it is argued that the exponents appearing in that differential equation, usually determined empirically, represent the geometric signature of the non-space filling, network-like locus on which contagious contacts take place.   Goto Sponge  NotDistinct  Permalink

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  • Abstract Some ideas are presented about a geometric motivation of the apparent capacity of generalized logistic equations to describe the outbreak of quite many epidemics, possibly including that of the COVID-19 infection. This interpretation pivots on the complex, possibly fractal, structure of the locus describing the “contagion event set”, and on what can be learnt from the models of trophic webs with “herd behaviour”. Under the hypothesis that the total number of cases, as a function of time, is fitted by a solution of the Generalized Richards Model, it is argued that the exponents appearing in that differential equation, usually determined empirically, represent the geometric signature of the non-space filling, network-like locus on which contagious contacts take place.
Subject
  • Zoonoses
  • Epidemics
  • Viral respiratory tract infections
  • Topology
  • COVID-19
  • Herding
  • Behavioral finance
  • Biological hazards
  • Computational fields of study
  • Occupational safety and health
  • Group processes
  • Mathematical structures
  • Ecological connectivity
  • Trophic ecology
  • Fractals
  • Crowd psychology
  • Behavioral ecology
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