Dynamics of a diffusive vaccination model with therapeutic impact and non-linear incidence in epidemiology

In this paper, we study a more general diffusive spatially dependent vaccination model for infectious disease. In our diffusive vaccination model, we consider both therapeutic impact and nonlinear incidence rate. Also, in this model, the number of compartments of susceptible, vaccinated and infectio...

Full description

Bibliographic Details
Main Authors: Md. Kamrujjaman, Md. Shahriar Mahmud, Md. Shafiqul Islam
Format: Article
Language:English
Published: Taylor & Francis Group 2021-05-01
Series:Journal of Biological Dynamics
Subjects:
Online Access:http://dx.doi.org/10.1080/17513758.2020.1849831
id doaj-ae9e4cb6c5cf41bc9f91c6df58986b81
record_format Article
spelling doaj-ae9e4cb6c5cf41bc9f91c6df58986b812021-06-02T08:43:37ZengTaylor & Francis GroupJournal of Biological Dynamics1751-37581751-37662021-05-0115S1S105S13310.1080/17513758.2020.18498311849831Dynamics of a diffusive vaccination model with therapeutic impact and non-linear incidence in epidemiologyMd. Kamrujjaman0Md. Shahriar Mahmud1Md. Shafiqul Islam2University of DhakaUniversity of DhakaUniversity of Prince Edward IslandIn this paper, we study a more general diffusive spatially dependent vaccination model for infectious disease. In our diffusive vaccination model, we consider both therapeutic impact and nonlinear incidence rate. Also, in this model, the number of compartments of susceptible, vaccinated and infectious individuals are considered to be functions of both time and location, where the set of locations (equivalently, spatial habitats) is a subset of $ \mathbb {R}^n $ with a smooth boundary. Both local and global stability of the model are studied. Our study shows that if the threshold level $ \mathcal {R}_0 \le 1, $ the disease-free equilibrium $ E_0 $ is globally asymptotically stable. On the other hand, if $ \mathcal {R}_0> 1 $ then there exists a unique stable disease equilibrium $ E^* $ . The existence of solutions of the model and uniform persistence results are studied. Finally, using finite difference scheme, we present a number of numerical examples to verify our analytical results. Our results indicate that the global dynamics of the model are completely determined by the threshold value $ \mathcal {R}_0 $ .http://dx.doi.org/10.1080/17513758.2020.1849831spatial vaccination modelnonlinear incidencethreshold valuelocal stabilityglobal stabilityuniform persistence
collection DOAJ
language English
format Article
sources DOAJ
author Md. Kamrujjaman
Md. Shahriar Mahmud
Md. Shafiqul Islam
spellingShingle Md. Kamrujjaman
Md. Shahriar Mahmud
Md. Shafiqul Islam
Dynamics of a diffusive vaccination model with therapeutic impact and non-linear incidence in epidemiology
Journal of Biological Dynamics
spatial vaccination model
nonlinear incidence
threshold value
local stability
global stability
uniform persistence
author_facet Md. Kamrujjaman
Md. Shahriar Mahmud
Md. Shafiqul Islam
author_sort Md. Kamrujjaman
title Dynamics of a diffusive vaccination model with therapeutic impact and non-linear incidence in epidemiology
title_short Dynamics of a diffusive vaccination model with therapeutic impact and non-linear incidence in epidemiology
title_full Dynamics of a diffusive vaccination model with therapeutic impact and non-linear incidence in epidemiology
title_fullStr Dynamics of a diffusive vaccination model with therapeutic impact and non-linear incidence in epidemiology
title_full_unstemmed Dynamics of a diffusive vaccination model with therapeutic impact and non-linear incidence in epidemiology
title_sort dynamics of a diffusive vaccination model with therapeutic impact and non-linear incidence in epidemiology
publisher Taylor & Francis Group
series Journal of Biological Dynamics
issn 1751-3758
1751-3766
publishDate 2021-05-01
description In this paper, we study a more general diffusive spatially dependent vaccination model for infectious disease. In our diffusive vaccination model, we consider both therapeutic impact and nonlinear incidence rate. Also, in this model, the number of compartments of susceptible, vaccinated and infectious individuals are considered to be functions of both time and location, where the set of locations (equivalently, spatial habitats) is a subset of $ \mathbb {R}^n $ with a smooth boundary. Both local and global stability of the model are studied. Our study shows that if the threshold level $ \mathcal {R}_0 \le 1, $ the disease-free equilibrium $ E_0 $ is globally asymptotically stable. On the other hand, if $ \mathcal {R}_0> 1 $ then there exists a unique stable disease equilibrium $ E^* $ . The existence of solutions of the model and uniform persistence results are studied. Finally, using finite difference scheme, we present a number of numerical examples to verify our analytical results. Our results indicate that the global dynamics of the model are completely determined by the threshold value $ \mathcal {R}_0 $ .
topic spatial vaccination model
nonlinear incidence
threshold value
local stability
global stability
uniform persistence
url http://dx.doi.org/10.1080/17513758.2020.1849831
work_keys_str_mv AT mdkamrujjaman dynamicsofadiffusivevaccinationmodelwiththerapeuticimpactandnonlinearincidenceinepidemiology
AT mdshahriarmahmud dynamicsofadiffusivevaccinationmodelwiththerapeuticimpactandnonlinearincidenceinepidemiology
AT mdshafiqulislam dynamicsofadiffusivevaccinationmodelwiththerapeuticimpactandnonlinearincidenceinepidemiology
_version_ 1721406383231860736