A Fractional Ordered COVID-19 Model Incorporating Comorbidity and Vaccination

被引：9

作者：

Das, Meghadri ^{[1
]}

Samanta, Guruprasad ^{[1
]}

De la Sen, Manuel ^{[2
]}

机构：

[1] Indian Inst Engn Sci & Technol, Dept Math, Sibpur 711103, Howrah, India

[2] Univ Basque Country, Inst Res & Dev Proc, Leioa 48940, Spain

来源：

MATHEMATICS | 2021年 / 9卷 / 21期

关键词：

Caputo fractional differential equation; COVID-19; stability; sensitivity index; control; DIFFERENTIAL-EQUATIONS; LINEAR-MODELS; DISSIPATION;

D O I：

10.3390/math9212806

中图分类号：

O1 [数学];

学科分类号：

0701 ; 070101 ;

摘要：

The primary goal of this research is to investigate COVID-19 transmission patterns in West Bengal, India in 2021; the first Coronavirus illness (COVID-19) in West Bengal was revealed on 17 March 2020. We employed the modified Susceptible-Asymptomatic-Vaccinated-Comorbidity-Infectious-Recovered (SAVICR) compartmental model as part of fractional orders because of the uncertainty created by the limited Coronavirus (COVID-19) information. In this article, two sub-compartments (Normal Infected and Infected with Co-morbidity) has been considered with vaccinated class, which is relevant in the present situation. We have studied the dynamical analysis of the system and also studied sensitivity of the parameters for est Bengal framework. We have also considered an optimal control problem taking social distancing (non-pharmaceutical treatments) as a control parameter along with vaccination.

引用

页数：27

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