A stochastic mathematical model of two different infectious epidemic under vertical transmission.

Itô's formula stochastic permanence stochastic ultimate boundedness vertical transmission

Journal

Mathematical biosciences and engineering : MBE
ISSN: 1551-0018
Titre abrégé: Math Biosci Eng
Pays: United States
ID NLM: 101197794

Informations de publication

Date de publication:
01 2022
Historique:
entrez: 4 3 2022
pubmed: 5 3 2022
medline: 15 3 2022
Statut: ppublish

Résumé

In this study, considering the effect of environment perturbation which is usually embodied by the alteration of contact infection rate, we formulate a stochastic epidemic mathematical model in which two different kinds of infectious diseases that spread simultaneously through both horizontal and vertical transmission are described. To indicate our model is well-posed and of biological significance, we prove the existence and uniqueness of positive solution at the beginning. By constructing suitable Lyapunov functions (which can be used to prove the stability of a certain fixed point in a dynamical system or autonomous differential equation) and applying Itô's formula as well as Chebyshev's inequality, we also establish the sufficient conditions for stochastic ultimate boundedness. Furthermore, when some main parameters and all the stochastically perturbed intensities satisfy a certain relationship, we finally prove the stochastic permanence. Our results show that the perturbed intensities should be no greater than a certain positive number which is up-bounded by some parameters in the system, otherwise, the system will be surely extinct. The reliability of theoretical results are further illustrated by numerical simulations. Finally, in the discussion section, we put forward two important and interesting questions left for further investigation.

Identifiants

pubmed: 35240780
doi: 10.3934/mbe.2022101
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

2179-2192

Auteurs

Xunyang Wang (X)

Department of Applied Mathematics, Lanzhou University of Technology, Lanzhou 730050, China.
State Grid Gansu Electric Power Research Institute, Lanzhou 730070, China.

Canyun Huang (C)

Department of Applied Mathematics, Lanzhou University of Technology, Lanzhou 730050, China.

Yixin Hao (Y)

Department of Applied Mathematics, Lanzhou University of Technology, Lanzhou 730050, China.

Qihong Shi (Q)

Department of Applied Mathematics, Lanzhou University of Technology, Lanzhou 730050, China.

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Classifications MeSH