The evolution of COVID-19: A discontinuous approach

https://doi.org/10.1016/j.physa.2021.125752Get rights and content
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Highlights

  • The evolution of COVID-19 pandemic disease in several countries is studied in terms of daily infected and death people.

  • The time evolution of these parameters shows several sharp discontinuities.

  • This behaviour is described in terms of topological phase transitions or logistic functions separated by sharp discontinuities.

Abstract

The evolution of the COVID-19 disease is monitored on the basis of the daily number of infected patients and the daily number of deaths provided from national health agencies. The variation of such parameters with time parallels that described for the growth/decay of historic transportation systems revealing the appearance of discontinuities. The evolution of the pandemic disease is represented in terms of two nominally equivalent formulations: a logistic model with sharp changes in its rate parameters, and in topological terms resulting in 2nd order phase transitions in the infected patients/time space.

Keywords

COVID-19
Logistic
Topological phase transitions
Discontinuities

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