Mathematical analysis of COVID-19 via new mathematical model

被引:40
|
作者
Abdullah [1 ]
Ahmad, Saeed [1 ]
Owyed, Saud [2 ]
Abdel-Aty, Abdel-Haleem [3 ,4 ]
Mahmoud, Emad E. [5 ,6 ]
Shah, Kamal [1 ]
Alrabaiah, Hussam [7 ,8 ]
机构
[1] Univ Malakand, Dept Math, Khyber Pakhtunkhwa, Pakistan
[2] Univ Bisha, Coll Sci, Dept Math, POB 344, Bisha 61922, Saudi Arabia
[3] Univ Bisha, Coll Sci, Dept Phys, POB 344, Bisha 61922, Saudi Arabia
[4] Al Azhar Univ, Fac Sci, Phys Dept, Assiut 71524, Egypt
[5] Taif Univ, Coll Sci, Dept Math & Stat, POB 11099, At Taif 21944, Saudi Arabia
[6] Sohag Univ, Fac Sci, Dept Math, Sohag 82524, Egypt
[7] Al Ain Univ, Coll Engn, Al Ain, U Arab Emirates
[8] Tafila Tech Univ, Dept Math, Tafila, Jordan
关键词
Mathematical model; COVID; 19; Basic reproduction number; Linearization theory; Lyapunov function; Stability analysis; Numerical simulations; DISEASE-MODEL; TRANSMISSION; CORONAVIRUS;
D O I
10.1016/j.chaos.2020.110585
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
We develop a new mathematical model by including the resistive class together with quarantine class and use it to investigate the transmission dynamics of the novel corona virus disease (COVID-19). Our developed model consists of four compartments, namely the susceptible class, S(t), the healthy (resistive) class, H(t), the infected class, I(t) and the quarantine class, Q(t). We derive basic properties like, boundedness and positivity, of our proposed model in a biologically feasible region. To discuss the local as well as the global behaviour of the possible equilibria of the model, we compute the threshold quantity. The linearization and Lyapunov function theory are used to derive conditions for the stability analysis of the possible equilibrium states. We present numerical simulations to support our investigations. The simulations are compared with the available real data for Wuhan city in China, where the infection was initially originated. (C) 2020 Elsevier Ltd. All rights reserved.
引用
收藏
页数:9
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