On a Novel Dynamics of a SIVR Model Using a Laplace Adomian Decomposition Based on a Vaccination Strategy

被引:6
|
作者
Dhandapani, Prasantha Bharathi [1 ]
Leiva, Victor [2 ]
Martin-Barreiro, Carlos [3 ,4 ]
Rangasamy, Maheswari [1 ]
机构
[1] Sri Eshwar Coll Engn, Dept Math, Coimbatore 641202, Tamil Nadu, India
[2] Pontificia Univ Catolica Valparaiso, Sch Ind Engn, Valparaiso 2362807, Chile
[3] Escuela Super Politecn Litoral ESPOL, Fac Nat Sci & Math, Guayaquil 090902, Ecuador
[4] Univ Espiritu Santo, Fac Engn, Samborondon 0901952, Ecuador
关键词
ABC derivatives; basic reproduction number; equilibrium points; fractional derivatives; Laplace transform; numerical methods; SARS-CoV-2; sensitivity and stability analyses; FRACTIONAL DIFFERENTIAL-EQUATIONS; TRANSMISSION; INFECTION; COVID-19; DELAY;
D O I
10.3390/fractalfract7050407
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
In this paper, we introduce a SIVR model using the Laplace Adomian decomposition. This model focuses on a new trend in mathematical epidemiology dedicated to studying the characteristics of vaccination of infected communities. We analyze the epidemiological parameters using equilibrium stability and numerical analysis techniques. New mathematical strategies are also applied to establish our epidemic model, which is a pandemic model as well. In addition, we mathematically establish the chance for the next wave of any pandemic disease and show that a consistent vaccination strategy could control it. Our proposal is the first model introducing a vaccination strategy to actively infected cases. We are sure this work will serve as the basis for future research on COVID-19 and pandemic diseases since our study also considers the vaccinated population.
引用
收藏
页数:25
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