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A belief-based model for characterizing the spread of awareness and its impacts on individuals' vaccination decisions

During an epidemic, individuals' decisions on whether or not to take vaccine may affect the dynamics of disease spread and, therefore, the effectiveness of disease control. Empirical studies have shown that such decisions can be subjected to individuals' awareness about disease and vaccine...

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Detalles Bibliográficos
Autores principales: Xia, Shang, Liu, Jiming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3973367/
https://www.ncbi.nlm.nih.gov/pubmed/24598205
http://dx.doi.org/10.1098/rsif.2014.0013
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author Xia, Shang
Liu, Jiming
author_facet Xia, Shang
Liu, Jiming
author_sort Xia, Shang
collection PubMed
description During an epidemic, individuals' decisions on whether or not to take vaccine may affect the dynamics of disease spread and, therefore, the effectiveness of disease control. Empirical studies have shown that such decisions can be subjected to individuals' awareness about disease and vaccine, such as their perceived disease severity and vaccine safety. The aim of this paper is to gain a better understanding of individuals' vaccination behaviour by modelling the spread of awareness in a group of socially connected individuals and examining the associated impacts on their vaccination decision-making. In our model, we examine whether or not individuals will get vaccinated as well as when they would. In doing so, we consider three possible decisions from an individual, i.e. to accept, to reject, and yet to decide, and further associate them with a set of belief values. Next, we extend the Dempster–Shafer theory to characterize individuals' belief value updates and their decision-making, having incorporated the awareness obtained from their connected neighbours. Furthermore, we examine two factors that will affect individuals' vaccination decisions: (i) reporting rates of disease- and vaccine-related events, and (ii) fading coefficient of awareness spread. By doing so, we can assess the impacts of awareness spread by evaluating the vaccination dynamics in terms of the number of vaccinated individuals. The results have demonstrated that the former influences the ratio of vaccinated individuals, whereas the latter affects the time when individuals decide to take vaccine.
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spelling pubmed-39733672014-05-06 A belief-based model for characterizing the spread of awareness and its impacts on individuals' vaccination decisions Xia, Shang Liu, Jiming J R Soc Interface Research Articles During an epidemic, individuals' decisions on whether or not to take vaccine may affect the dynamics of disease spread and, therefore, the effectiveness of disease control. Empirical studies have shown that such decisions can be subjected to individuals' awareness about disease and vaccine, such as their perceived disease severity and vaccine safety. The aim of this paper is to gain a better understanding of individuals' vaccination behaviour by modelling the spread of awareness in a group of socially connected individuals and examining the associated impacts on their vaccination decision-making. In our model, we examine whether or not individuals will get vaccinated as well as when they would. In doing so, we consider three possible decisions from an individual, i.e. to accept, to reject, and yet to decide, and further associate them with a set of belief values. Next, we extend the Dempster–Shafer theory to characterize individuals' belief value updates and their decision-making, having incorporated the awareness obtained from their connected neighbours. Furthermore, we examine two factors that will affect individuals' vaccination decisions: (i) reporting rates of disease- and vaccine-related events, and (ii) fading coefficient of awareness spread. By doing so, we can assess the impacts of awareness spread by evaluating the vaccination dynamics in terms of the number of vaccinated individuals. The results have demonstrated that the former influences the ratio of vaccinated individuals, whereas the latter affects the time when individuals decide to take vaccine. The Royal Society 2014-05-06 /pmc/articles/PMC3973367/ /pubmed/24598205 http://dx.doi.org/10.1098/rsif.2014.0013 Text en http://creativecommons.org/licenses/by/3.0/ © 2014 The Authors. Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/3.0/, which permits unrestricted use, provided the original author and source are credited.
spellingShingle Research Articles
Xia, Shang
Liu, Jiming
A belief-based model for characterizing the spread of awareness and its impacts on individuals' vaccination decisions
title A belief-based model for characterizing the spread of awareness and its impacts on individuals' vaccination decisions
title_full A belief-based model for characterizing the spread of awareness and its impacts on individuals' vaccination decisions
title_fullStr A belief-based model for characterizing the spread of awareness and its impacts on individuals' vaccination decisions
title_full_unstemmed A belief-based model for characterizing the spread of awareness and its impacts on individuals' vaccination decisions
title_short A belief-based model for characterizing the spread of awareness and its impacts on individuals' vaccination decisions
title_sort belief-based model for characterizing the spread of awareness and its impacts on individuals' vaccination decisions
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3973367/
https://www.ncbi.nlm.nih.gov/pubmed/24598205
http://dx.doi.org/10.1098/rsif.2014.0013
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