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Modeling Behavioral Response to Vaccination Using Public Goods Game
Epidemics of infectious disease can be traced back to the early days of mankind. Only in the last two centuries vaccination has become a viable strategy to prevent such epidemics. In addition to the clinical efficacy of this strategy, the behavior and public attitudes affect the success of vaccines....
Formato: | Online Artículo Texto |
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Lenguaje: | English |
Publicado: |
IEEE
2019
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7176036/ https://www.ncbi.nlm.nih.gov/pubmed/32391406 http://dx.doi.org/10.1109/TCSS.2019.2896227 |
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collection | PubMed |
description | Epidemics of infectious disease can be traced back to the early days of mankind. Only in the last two centuries vaccination has become a viable strategy to prevent such epidemics. In addition to the clinical efficacy of this strategy, the behavior and public attitudes affect the success of vaccines. This paper describes modeling the efficacy of vaccination considering the cost and benefit of vaccination to individual players. The model is based on the public goods game and is presented as a spatial game on a lattice. Using this model, individuals can contribute to the public health by paying the cost of vaccination or choose to be protected by the public who is vaccinated rather than pay the cost and share the risk of vaccination. Thus, in this model individuals can choose to stay susceptible, can become infected, or choose to vaccinate once in each episode. This paper presents the behavioral changes of the population and the cost to the society as a function of the cost of vaccines, cost of being infected, and the “fear factor” created by the public media. |
format | Online Article Text |
id | pubmed-7176036 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | IEEE |
record_format | MEDLINE/PubMed |
spelling | pubmed-71760362020-05-07 Modeling Behavioral Response to Vaccination Using Public Goods Game IEEE Trans Comput Soc Syst Article Epidemics of infectious disease can be traced back to the early days of mankind. Only in the last two centuries vaccination has become a viable strategy to prevent such epidemics. In addition to the clinical efficacy of this strategy, the behavior and public attitudes affect the success of vaccines. This paper describes modeling the efficacy of vaccination considering the cost and benefit of vaccination to individual players. The model is based on the public goods game and is presented as a spatial game on a lattice. Using this model, individuals can contribute to the public health by paying the cost of vaccination or choose to be protected by the public who is vaccinated rather than pay the cost and share the risk of vaccination. Thus, in this model individuals can choose to stay susceptible, can become infected, or choose to vaccinate once in each episode. This paper presents the behavioral changes of the population and the cost to the society as a function of the cost of vaccines, cost of being infected, and the “fear factor” created by the public media. IEEE 2019-03-07 /pmc/articles/PMC7176036/ /pubmed/32391406 http://dx.doi.org/10.1109/TCSS.2019.2896227 Text en https://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Modeling Behavioral Response to Vaccination Using Public Goods Game |
title | Modeling Behavioral Response to Vaccination Using Public Goods Game |
title_full | Modeling Behavioral Response to Vaccination Using Public Goods Game |
title_fullStr | Modeling Behavioral Response to Vaccination Using Public Goods Game |
title_full_unstemmed | Modeling Behavioral Response to Vaccination Using Public Goods Game |
title_short | Modeling Behavioral Response to Vaccination Using Public Goods Game |
title_sort | modeling behavioral response to vaccination using public goods game |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7176036/ https://www.ncbi.nlm.nih.gov/pubmed/32391406 http://dx.doi.org/10.1109/TCSS.2019.2896227 |
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