Modeling the control of infectious diseases: Effects of TV and social media advertisements

Public health information through media plays an important role to curb the spread of various infectious diseases as most of the populations rely on what media projects to them. Social media and TV advertisements are important mediums to communicate people regarding the spread of any infectious dise...

Full description

Saved in:
Bibliographic Details
Main Authors: Arvind Kumar Misra, Rajanish Kumar Rai, Yasuhiro Takeuchi
Format: Article
Language:English
Published: AIMS Press 2018-11-01
Series:Mathematical Biosciences and Engineering
Subjects:
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2018061
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1832590065897832448
author Arvind Kumar Misra
Rajanish Kumar Rai
Yasuhiro Takeuchi
author_facet Arvind Kumar Misra
Rajanish Kumar Rai
Yasuhiro Takeuchi
author_sort Arvind Kumar Misra
collection DOAJ
description Public health information through media plays an important role to curb the spread of various infectious diseases as most of the populations rely on what media projects to them. Social media and TV advertisements are important mediums to communicate people regarding the spread of any infectious disease and methods to prevent its spread. Therefore, in this paper, we propose a mathematical model to see how TV and social media advertisements impact the dynamics of an infectious disease. The susceptible population is assumed vulnerable to infection as well as information (through TV and social media ads). It is also assumed that the growth rate of TV and social media ads is proportional to the number of infected individuals with decreasing function of aware individuals. The feasibility of possible equilibria and their stability properties are discussed. It is shown that the increment in growth rate of TV and social media ads destabilizes the system and periodic oscillations arise through Hopf-bifurcation. It is also found that the increase in dissemination rate of awareness among susceptible population also gives rise interesting dynamics about the stability of endemic equilibrium and causes stability switch. It is observed that TV and social media advertisements regarding the spread of infectious diseases have the potential to bring behavioral changes among the people and control the spread of diseases. Numerical simulations also support analytical findings.
format Article
id doaj-art-8f449a386fe44aab8680642db3a81fd1
institution Kabale University
issn 1551-0018
language English
publishDate 2018-11-01
publisher AIMS Press
record_format Article
series Mathematical Biosciences and Engineering
spelling doaj-art-8f449a386fe44aab8680642db3a81fd12025-01-24T02:41:08ZengAIMS PressMathematical Biosciences and Engineering1551-00182018-11-011561315134310.3934/mbe.2018061Modeling the control of infectious diseases: Effects of TV and social media advertisementsArvind Kumar Misra0Rajanish Kumar Rai1Yasuhiro Takeuchi2Department of Mathematics, Institute of Science, Banaras Hindu University, Varanasi - 221005, IndiaDepartment of Mathematics, Institute of Science, Banaras Hindu University, Varanasi - 221005, IndiaCollege of Science and Engineering, Department of Physics and Mathematics, Aoyama Gakuin University, Kanagawa 252-5258, JapanPublic health information through media plays an important role to curb the spread of various infectious diseases as most of the populations rely on what media projects to them. Social media and TV advertisements are important mediums to communicate people regarding the spread of any infectious disease and methods to prevent its spread. Therefore, in this paper, we propose a mathematical model to see how TV and social media advertisements impact the dynamics of an infectious disease. The susceptible population is assumed vulnerable to infection as well as information (through TV and social media ads). It is also assumed that the growth rate of TV and social media ads is proportional to the number of infected individuals with decreasing function of aware individuals. The feasibility of possible equilibria and their stability properties are discussed. It is shown that the increment in growth rate of TV and social media ads destabilizes the system and periodic oscillations arise through Hopf-bifurcation. It is also found that the increase in dissemination rate of awareness among susceptible population also gives rise interesting dynamics about the stability of endemic equilibrium and causes stability switch. It is observed that TV and social media advertisements regarding the spread of infectious diseases have the potential to bring behavioral changes among the people and control the spread of diseases. Numerical simulations also support analytical findings.https://www.aimspress.com/article/doi/10.3934/mbe.2018061tv advertisementssocial mediaawarenessstabilityhopf-bifurcationstability switch
spellingShingle Arvind Kumar Misra
Rajanish Kumar Rai
Yasuhiro Takeuchi
Modeling the control of infectious diseases: Effects of TV and social media advertisements
Mathematical Biosciences and Engineering
tv advertisements
social media
awareness
stability
hopf-bifurcation
stability switch
title Modeling the control of infectious diseases: Effects of TV and social media advertisements
title_full Modeling the control of infectious diseases: Effects of TV and social media advertisements
title_fullStr Modeling the control of infectious diseases: Effects of TV and social media advertisements
title_full_unstemmed Modeling the control of infectious diseases: Effects of TV and social media advertisements
title_short Modeling the control of infectious diseases: Effects of TV and social media advertisements
title_sort modeling the control of infectious diseases effects of tv and social media advertisements
topic tv advertisements
social media
awareness
stability
hopf-bifurcation
stability switch
url https://www.aimspress.com/article/doi/10.3934/mbe.2018061
work_keys_str_mv AT arvindkumarmisra modelingthecontrolofinfectiousdiseaseseffectsoftvandsocialmediaadvertisements
AT rajanishkumarrai modelingthecontrolofinfectiousdiseaseseffectsoftvandsocialmediaadvertisements
AT yasuhirotakeuchi modelingthecontrolofinfectiousdiseaseseffectsoftvandsocialmediaadvertisements