TY - JOUR
T1 - Gompertz model in COVID-19 spreading simulation
AU - Pelinovsky, E.
AU - Kokoulina, M.
AU - Epifanova, A.
AU - Kurkin, A.
AU - Kurkina, O.
AU - Tang, M.
AU - Macau, E.
AU - Kirillin, M.
N1 - Publisher Copyright:
© 2021 Elsevier Ltd
PY - 2022/1
Y1 - 2022/1
N2 - 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.
AB - 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.
KW - COVID-19
KW - Gompertz model
KW - Logistic equation
KW - Mathematical modeling
UR - https://www.scopus.com/pages/publications/85120923950
U2 - 10.1016/j.chaos.2021.111699
DO - 10.1016/j.chaos.2021.111699
M3 - 文章
AN - SCOPUS:85120923950
SN - 0960-0779
VL - 154
JO - Chaos, Solitons and Fractals
JF - Chaos, Solitons and Fractals
M1 - 111699
ER -