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Gompertz model in COVID-19 spreading simulation

  • E. Pelinovsky
  • , M. Kokoulina
  • , A. Epifanova
  • , A. Kurkin*
  • , O. Kurkina
  • , M. Tang
  • , E. Macau
  • , M. Kirillin
  • *Corresponding author for this work
  • Higher School of Economics
  • Institute of Applied Physics of the Russian Academy of Sciences
  • R.Y. Alekseev Nizhny Novgorod State Technical University
  • Universidade Federal de São Paulo

Research output: Contribution to journalArticlepeer-review

Abstract

The paper reports on application of the Gompertz model to describe the growth dynamics of COVID-19 cases during the first wave of the pandemic in different countries. Modeling has been performed for 23 countries: Australia, Austria, Belgium, Brazil, Great Britain, Germany, Denmark, Ireland, Spain, Italy, Canada, China, the Netherlands, Norway, Serbia, Turkey, France, Czech Republic, Switzerland, South Korea, USA, Mexico, and Japan. The model parameters are determined by regression analysis based on official World Health Organization data available for these countries. The comparison of the predictions given by the Gompertz model and the simple logistic model (i.e., Verhulst model) is performed allowing to conclude on the higher accuracy of the Gompertz model.

Original languageEnglish
Article number111699
JournalChaos, Solitons and Fractals
Volume154
DOIs
StatePublished - Jan 2022

Keywords

  • COVID-19
  • Gompertz model
  • Logistic equation
  • Mathematical modeling

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