In this paper, an epidemic model with fuzzy parameters for spreading Covid-19 in a population is considered. The sensitivity analysis is used to determine the model robustness to parameter values of model. The basic reproduction number of the epidemic model denoted by $\mathcal{R}_0$ determines the dynamics of the model. Then, in order to examine the relative importance of different parameters in the Covid-19 spread, we derive an analytical expression for the sensitivity of the basic reproduction number $\mathcal{R}_0$, namely sensitivity index, with respect to each parameter involved in the model. Finally, sensitivity analysis results and the numerical simulations of the model are given with different parameter values.
Parsamanesh, M., & Akrami, A. (2023). Sensitivity Analysis of a Mathematical Fuzzy Epidemic Model for COVID-19. Soft Computing Journal, (), -. doi: 10.22052/scj.2023.248364.1100
MLA
Mahmood Parsamanesh; Abbas Akrami. "Sensitivity Analysis of a Mathematical Fuzzy Epidemic Model for COVID-19". Soft Computing Journal, , , 2023, -. doi: 10.22052/scj.2023.248364.1100
HARVARD
Parsamanesh, M., Akrami, A. (2023). 'Sensitivity Analysis of a Mathematical Fuzzy Epidemic Model for COVID-19', Soft Computing Journal, (), pp. -. doi: 10.22052/scj.2023.248364.1100
VANCOUVER
Parsamanesh, M., Akrami, A. Sensitivity Analysis of a Mathematical Fuzzy Epidemic Model for COVID-19. Soft Computing Journal, 2023; (): -. doi: 10.22052/scj.2023.248364.1100
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