2022
DOI: 10.1080/09720502.2021.2001139
|View full text |Cite
|
Sign up to set email alerts
|

The dynamics of Coronavirus pandemic disease model in the existence of a curfew strategy

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
3
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
5

Relationship

2
3

Authors

Journals

citations
Cited by 5 publications
(5 citation statements)
references
References 15 publications
0
3
0
Order By: Relevance
“…Hence, due to Condition (22), it can be obtained that µ(Ξ) < 0 on the interior of the compact absorbing set Γ. Therefore, the endemic equilibrium point of System (2) is globally asymptotically stable under Condition (22), and the proof is complete.…”
Section: Global Stabilitymentioning
confidence: 81%
See 2 more Smart Citations
“…Hence, due to Condition (22), it can be obtained that µ(Ξ) < 0 on the interior of the compact absorbing set Γ. Therefore, the endemic equilibrium point of System (2) is globally asymptotically stable under Condition (22), and the proof is complete.…”
Section: Global Stabilitymentioning
confidence: 81%
“…It has been determined that the COVID-19 pandemic can be controlled by decreasing contact between susceptible and infected compartments or by increasing the recovery rates of symptomatic and asymptomatic people. A recent study by Mohsen et al [22] found that social isolation and the use of curfews are efficient ways to stop the spread of the disease. The authors used conventional methods to investigate the local and global stability analyses of the endemic and disease-free equilibrium points.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Mathematical modeling of infectious diseases, over the last century, has tackled this topic with various approaches and assumptions. Among other models, epidemics have been modelled via a system of ordinary differential equations (ODEs) [1,2,3,4,5,6,7], partial differential equations (PDEs) [8,9,10,11], delay differential equations (DDEs) [12,13,14], stochastic differential equations (SDEs) [15,16,17,18] and networks [19,20,21,22,23].…”
Section: Introductionmentioning
confidence: 99%
“…Sun et al, for instance, employed the SEQIR model [12] to obtain optimal control when battling epidemic diseases. Many other recent studies are available for those interested, which deal with various infectious disease models in addition to those indicated as approved sources in these studies, for example, [13][14][15][16][17][18][19][20][21]. To produce a more accurate depiction of system dynamics, there are also important studies aimed at adding the idea of time delay to epidemiological models.…”
Section: Introductionmentioning
confidence: 99%