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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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society
2014
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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. |
format | Online Article Text |
id | pubmed-3973367 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | The Royal Society |
record_format | MEDLINE/PubMed |
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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