A computational approach to characterizing the impact of social influence on individuals' vaccination decision making.

In modeling individuals vaccination decision making, existing studies have typically used the payoff-based (e.g., game-theoretical) approaches that evaluate the risks and benefits of vaccination. In reality, whether an individual takes vaccine or not is also influenced by the decisions of others, i....

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Autores principales:	Shang Xia, Jiming Liu
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2013
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/e751865788484fb4893705bf8a84f467
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spelling	oai:doaj.org-article:e751865788484fb4893705bf8a84f4672021-11-18T07:50:07ZA computational approach to characterizing the impact of social influence on individuals' vaccination decision making.1932-620310.1371/journal.pone.0060373https://doaj.org/article/e751865788484fb4893705bf8a84f4672013-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23585835/?tool=EBIhttps://doaj.org/toc/1932-6203In modeling individuals vaccination decision making, existing studies have typically used the payoff-based (e.g., game-theoretical) approaches that evaluate the risks and benefits of vaccination. In reality, whether an individual takes vaccine or not is also influenced by the decisions of others, i.e., due to the impact of social influence. In this regard, we present a dual-perspective view on individuals decision making that incorporates both the cost analysis of vaccination and the impact of social influence. In doing so, we consider a group of individuals making their vaccination decisions by both minimizing the associated costs and evaluating the decisions of others. We apply social impact theory (SIT) to characterize the impact of social influence with respect to individuals interaction relationships. By doing so, we propose a novel modeling framework that integrates an extended SIT-based characterization of social influence with a game-theoretical analysis of cost minimization. We consider the scenario of voluntary vaccination against an influenza-like disease through a series of simulations. We investigate the steady state of individuals' decision making, and thus, assess the impact of social influence by evaluating the coverage of vaccination for infectious diseases control. Our simulation results suggest that individuals high conformity to social influence will increase the vaccination coverage if the cost of vaccination is low, and conversely, will decrease it if the cost is high. Interestingly, if individuals are social followers, the resulting vaccination coverage would converge to a certain level, depending on individuals' initial level of vaccination willingness rather than the associated costs. We conclude that social influence will have an impact on the control of an infectious disease as they can affect the vaccination coverage. In this respect, our work can provide a means for modeling the impact of social influence as well as for estimating the effectiveness of a voluntary vaccination program.Shang XiaJiming LiuPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 8, Iss 4, p e60373 (2013)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Shang Xia Jiming Liu A computational approach to characterizing the impact of social influence on individuals' vaccination decision making.
description	In modeling individuals vaccination decision making, existing studies have typically used the payoff-based (e.g., game-theoretical) approaches that evaluate the risks and benefits of vaccination. In reality, whether an individual takes vaccine or not is also influenced by the decisions of others, i.e., due to the impact of social influence. In this regard, we present a dual-perspective view on individuals decision making that incorporates both the cost analysis of vaccination and the impact of social influence. In doing so, we consider a group of individuals making their vaccination decisions by both minimizing the associated costs and evaluating the decisions of others. We apply social impact theory (SIT) to characterize the impact of social influence with respect to individuals interaction relationships. By doing so, we propose a novel modeling framework that integrates an extended SIT-based characterization of social influence with a game-theoretical analysis of cost minimization. We consider the scenario of voluntary vaccination against an influenza-like disease through a series of simulations. We investigate the steady state of individuals' decision making, and thus, assess the impact of social influence by evaluating the coverage of vaccination for infectious diseases control. Our simulation results suggest that individuals high conformity to social influence will increase the vaccination coverage if the cost of vaccination is low, and conversely, will decrease it if the cost is high. Interestingly, if individuals are social followers, the resulting vaccination coverage would converge to a certain level, depending on individuals' initial level of vaccination willingness rather than the associated costs. We conclude that social influence will have an impact on the control of an infectious disease as they can affect the vaccination coverage. In this respect, our work can provide a means for modeling the impact of social influence as well as for estimating the effectiveness of a voluntary vaccination program.
format	article
author	Shang Xia Jiming Liu
author_facet	Shang Xia Jiming Liu
author_sort	Shang Xia
title	A computational approach to characterizing the impact of social influence on individuals' vaccination decision making.
title_short	A computational approach to characterizing the impact of social influence on individuals' vaccination decision making.
title_full	A computational approach to characterizing the impact of social influence on individuals' vaccination decision making.
title_fullStr	A computational approach to characterizing the impact of social influence on individuals' vaccination decision making.
title_full_unstemmed	A computational approach to characterizing the impact of social influence on individuals' vaccination decision making.
title_sort	computational approach to characterizing the impact of social influence on individuals' vaccination decision making.
publisher	Public Library of Science (PLoS)
publishDate	2013
url	https://doaj.org/article/e751865788484fb4893705bf8a84f467
work_keys_str_mv	AT shangxia acomputationalapproachtocharacterizingtheimpactofsocialinfluenceonindividualsvaccinationdecisionmaking AT jimingliu acomputationalapproachtocharacterizingtheimpactofsocialinfluenceonindividualsvaccinationdecisionmaking AT shangxia computationalapproachtocharacterizingtheimpactofsocialinfluenceonindividualsvaccinationdecisionmaking AT jimingliu computationalapproachtocharacterizingtheimpactofsocialinfluenceonindividualsvaccinationdecisionmaking
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A computational approach to characterizing the impact of social influence on individuals' vaccination decision making.

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