2019
DOI: 10.1007/s40314-019-0857-x
|View full text |Cite
|
Sign up to set email alerts
|

Dynamics analysis and numerical simulations of a delayed stochastic epidemic model subject to a general response function

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
13
0

Year Published

2019
2019
2023
2023

Publication Types

Select...
8

Relationship

1
7

Authors

Journals

citations
Cited by 37 publications
(15 citation statements)
references
References 35 publications
0
13
0
Order By: Relevance
“…In order to make this model more reasonable, we can also investigate delay stochastic differential equation models, control stochastic differential equation models, and impulsive stochastic differential equation models of system (2) for further work. The approaches are shown in [27][28][29][30][31][32][33][34][35][36][37][38][39][40][41].…”
Section: Discussionmentioning
confidence: 99%
“…In order to make this model more reasonable, we can also investigate delay stochastic differential equation models, control stochastic differential equation models, and impulsive stochastic differential equation models of system (2) for further work. The approaches are shown in [27][28][29][30][31][32][33][34][35][36][37][38][39][40][41].…”
Section: Discussionmentioning
confidence: 99%
“…Theorem 1. For any given initial condition (6), model (5) has a unique global positive solution (x 1 (t), x 2 (t), u(t)), and the solution will remain in R 3 + with probability one.…”
Section: Existence and Uniqueness Of Globalmentioning
confidence: 99%
“…Theorem 3. For any given initial condition (6), if assumptions (A 1 ) and (A 2 ) hold at the same time, the solution (x 1 (t), x 2 (t), u(t)) of system (5) is persistent that…”
Section: Persistencementioning
confidence: 99%
See 1 more Smart Citation
“…Indeed, stochastic models could be more appropriate way of modeling in comparison with their deterministic counterparts, since they can provide some additional degree of realism. By introducing (stochastic) environmental noise, many investigators have studied stochastic epidemic models [14][15][16][17][18][19][20][21][22][23] and stochastic population models [24][25][26][27][28][29][30][31][32][33][34][35][36][37][38][39][40][41][42]. ey focus on the e ect of environmental uctuations on the dynamic behavior of these models.…”
Section: Introductionmentioning
confidence: 99%