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Exploring epidemic voluntary vaccinating behavior based on information-driven decisions and benefit-cost analysis
A complex dynamic interplay exists between epidemic transmission and vaccination, which is significantly influenced by human behavioral responses. We construct a research framework combining both the function modeling of the cumulative global COVID-19 information and limited individuals’ information...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Inc.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9922198/ https://www.ncbi.nlm.nih.gov/pubmed/36818690 http://dx.doi.org/10.1016/j.amc.2023.127905 |
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author | Zuo, Chao Ling, Yuting Zhu, Fenping Ma, Xinyu Xiang, Guochun |
author_facet | Zuo, Chao Ling, Yuting Zhu, Fenping Ma, Xinyu Xiang, Guochun |
author_sort | Zuo, Chao |
collection | PubMed |
description | A complex dynamic interplay exists between epidemic transmission and vaccination, which is significantly influenced by human behavioral responses. We construct a research framework combining both the function modeling of the cumulative global COVID-19 information and limited individuals’ information processing capacity employing the Gompertz model for growing processes. Meanwhile, we built a function representing the decision to get vaccinated following benefit-cost analysis considered the choices made by people in each scenario have an influence from altruism, free-riding and immunity escaping capacity. Through the mean-field calculation analysis and using a fourth-order Runge-Kutta method with constant step size, we obtain plots from numerical simulations. We found that only when the total number of infectious individuals proves sufficient to reach and exceed a certain level will the individuals face a better trade-off in determining whether to get vaccinated against the diseases based on that information. Besides, authoritative media have a higher decisive influence and efforts should be focused on extending the duration of vaccine protection, which is beneficial to inhibit the outbreaks of epidemics. Our work elucidates that reducing the negative payoff brought about by the free-riding behavior for individuals or improving the positive payoff from the altruistic motivation helps to control the disease in cultures that value social benefits, vaccination willingness is generally stronger. We also note that at a high risk of infection, the decision of vaccination is highly correlated with global epidemic information concerning COVID-19 infection, while at times of lower risk, it depends on the game theoretic vaccine strategy. The findings demonstrate that improving health literacy, ensuring open and transparent information on vaccine safety and efficacy as a public health priority can be an effective strategy for mitigating inequalities in health education, as well as alleviating the phenomenon that immunity escaping abilities is more likely to panic by populations with high levels of education. In addition, prosocial nudges are great ways to bridge these immunity gaps that can contribute to implementing government public health control measures, creating a positive feedback loop. |
format | Online Article Text |
id | pubmed-9922198 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-99221982023-02-13 Exploring epidemic voluntary vaccinating behavior based on information-driven decisions and benefit-cost analysis Zuo, Chao Ling, Yuting Zhu, Fenping Ma, Xinyu Xiang, Guochun Appl Math Comput Article A complex dynamic interplay exists between epidemic transmission and vaccination, which is significantly influenced by human behavioral responses. We construct a research framework combining both the function modeling of the cumulative global COVID-19 information and limited individuals’ information processing capacity employing the Gompertz model for growing processes. Meanwhile, we built a function representing the decision to get vaccinated following benefit-cost analysis considered the choices made by people in each scenario have an influence from altruism, free-riding and immunity escaping capacity. Through the mean-field calculation analysis and using a fourth-order Runge-Kutta method with constant step size, we obtain plots from numerical simulations. We found that only when the total number of infectious individuals proves sufficient to reach and exceed a certain level will the individuals face a better trade-off in determining whether to get vaccinated against the diseases based on that information. Besides, authoritative media have a higher decisive influence and efforts should be focused on extending the duration of vaccine protection, which is beneficial to inhibit the outbreaks of epidemics. Our work elucidates that reducing the negative payoff brought about by the free-riding behavior for individuals or improving the positive payoff from the altruistic motivation helps to control the disease in cultures that value social benefits, vaccination willingness is generally stronger. We also note that at a high risk of infection, the decision of vaccination is highly correlated with global epidemic information concerning COVID-19 infection, while at times of lower risk, it depends on the game theoretic vaccine strategy. The findings demonstrate that improving health literacy, ensuring open and transparent information on vaccine safety and efficacy as a public health priority can be an effective strategy for mitigating inequalities in health education, as well as alleviating the phenomenon that immunity escaping abilities is more likely to panic by populations with high levels of education. In addition, prosocial nudges are great ways to bridge these immunity gaps that can contribute to implementing government public health control measures, creating a positive feedback loop. Elsevier Inc. 2023-06-15 2023-02-12 /pmc/articles/PMC9922198/ /pubmed/36818690 http://dx.doi.org/10.1016/j.amc.2023.127905 Text en © 2023 Elsevier Inc. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Zuo, Chao Ling, Yuting Zhu, Fenping Ma, Xinyu Xiang, Guochun Exploring epidemic voluntary vaccinating behavior based on information-driven decisions and benefit-cost analysis |
title | Exploring epidemic voluntary vaccinating behavior based on information-driven decisions and benefit-cost analysis |
title_full | Exploring epidemic voluntary vaccinating behavior based on information-driven decisions and benefit-cost analysis |
title_fullStr | Exploring epidemic voluntary vaccinating behavior based on information-driven decisions and benefit-cost analysis |
title_full_unstemmed | Exploring epidemic voluntary vaccinating behavior based on information-driven decisions and benefit-cost analysis |
title_short | Exploring epidemic voluntary vaccinating behavior based on information-driven decisions and benefit-cost analysis |
title_sort | exploring epidemic voluntary vaccinating behavior based on information-driven decisions and benefit-cost analysis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9922198/ https://www.ncbi.nlm.nih.gov/pubmed/36818690 http://dx.doi.org/10.1016/j.amc.2023.127905 |
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