2020
DOI: 10.1155/2020/3452402
|View full text |Cite
|
Sign up to set email alerts
|

Mathematical Model for Coronavirus Disease 2019 (COVID-19) Containing Isolation Class

Abstract: The deadly coronavirus continues to spread across the globe, and mathematical models can be used to show suspected, recovered, and deceased coronavirus patients, as well as how many people have been tested. Researchers still do not know definitively whether surviving a COVID-19 infection means you gain long-lasting immunity and, if so, for how long? In order to understand, we think that this study may lead to better guessing the spread of this pandemic in future. We develop a mathematical model to present the … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3

Citation Types

1
137
1
2

Year Published

2020
2020
2022
2022

Publication Types

Select...
6
2
1

Relationship

2
7

Authors

Journals

citations
Cited by 180 publications
(141 citation statements)
references
References 9 publications
1
137
1
2
Order By: Relevance
“…For the estimation of the final size of the coronavirus epidemic, Batista [3] presented the logistic growth regression model. Many researchers discussed this COVID-19 in different models in integer and in fractional order, see [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17], because of many applications of fractional calculus, stochastic modeling and bifurcation analysis [18][19][20][21][22][23][24][25][26]. For the more realistic models, several authors studied the stochastic models by introducing white noise [27][28][29][30][31].…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…For the estimation of the final size of the coronavirus epidemic, Batista [3] presented the logistic growth regression model. Many researchers discussed this COVID-19 in different models in integer and in fractional order, see [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17], because of many applications of fractional calculus, stochastic modeling and bifurcation analysis [18][19][20][21][22][23][24][25][26]. For the more realistic models, several authors studied the stochastic models by introducing white noise [27][28][29][30][31].…”
Section: Introductionmentioning
confidence: 99%
“…lim t→∞ log I(t) t ≤ -(γ + μ) + β 2ρ 2 < 0 is a.s.According to(15) and(16) lim t→∞ I(t) = 0. (23)Now, from third equation of system(1), it follows thatR(t) = e -(μ+δ)t R(0) + t 0 δI(r)e (μ+δ)r dr .…”
mentioning
confidence: 99%
“…The research recommended that the total cases can be reduced by 90% if proper countermeasures are carried out. The dynamic behaviour of the disease is studied in [21] by developing a mathematical model by including isolation class. As per the research findings, the main cause of the disease spread is the contact between people.…”
Section: Introductionmentioning
confidence: 99%
“…The rate at which the disease spreads shows that it could remain endemic for a longer pe riod [15]. The main method of reducing the spread of the virus across the globe is isolation or quarantine [16].…”
Section: Introductionmentioning
confidence: 99%