Mathematical modeling of COVID-19 transmission dynamics with a case study of Wuhan
- PMID: 32341628
- PMCID: PMC7184012
- DOI: 10.1016/j.chaos.2020.109846
Mathematical modeling of COVID-19 transmission dynamics with a case study of Wuhan
Erratum in
-
Corrigendum to "Mathematical modeling of COVID-19 transmission dynamics with a case study of Wuhan" [Chaos Solitons Fractals 135 (2020), 109846].Chaos Solitons Fractals. 2020 Dec;141:110311. doi: 10.1016/j.chaos.2020.110311. Epub 2020 Sep 24. Chaos Solitons Fractals. 2020. PMID: 32994672 Free PMC article.
Abstract
We propose a compartmental mathematical model for the spread of the COVID-19 disease with special focus on the transmissibility of super-spreaders individuals. We compute the basic reproduction number threshold, we study the local stability of the disease free equilibrium in terms of the basic reproduction number, and we investigate the sensitivity of the model with respect to the variation of each one of its parameters. Numerical simulations show the suitability of the proposed COVID-19 model for the outbreak that occurred in Wuhan, China.
Keywords: 34D05; 92D30; Basic reproduction number; Mathematical modeling of COVID-19 pandemic; Numerical simulations; Sensitivity analysis; Stability; Wuhan case study.
© 2020 Elsevier Ltd. All rights reserved.
Conflict of interest statement
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Figures



References
-
- Djordjevic J., Silva C.J., Torres D.F.M. A stochastic SICA epidemic model for HIV transmission. Appl Math Lett. 2018;84:168–175. doi: 10.1016/j.aml.2018.05.005. - DOI
-
- Ndaïrou F., Area I., Nieto J.J., Silva C.J., Torres D.F.M. Mathematical modeling of Zika disease in pregnant women and newborns with microcephaly in Brazil. Math Methods Appl Sci. 2018;41:8929–8941. doi: 10.1002/mma.4702. - DOI
-
- Rachah A., Torres D.F.M. Dynamics and optimal control of Ebola transmission. Math Comput Sci. 2016;10:331–342. doi: 10.1007/s11786-016-0268-y. - DOI
-
- Brauer F., Castillo-Chavez C., Feng Z. Springer-Verlag; New York: 2019. Mathematical models in epidemiology.
-
- COVID-19 Coronavirus Pandemic. 2020. https://www.worldometers.info/coronavirus/repro, Accessed March 26.
LinkOut - more resources
Full Text Sources