IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v675y2025ics0378437125004546.html

The effect of economic and environmental pressure factors on individuals' vaccination strategies in multiplex networks

Author

Listed:
  • Huo, Liang’an
  • Zhang, Panpan
  • Gu, Jiafeng

Abstract

Vaccination plays a crucial role in disease control as a preventive measure. Individuals' vaccination strategies are predominantly influenced by two primary factors: economics and environmental pressure. In this paper, we present a three-layer coupled network model focusing on co-evolution of the information-vaccination-disease transmission. Within this model, we investigate how economic and environmental pressure factors affect immunization strategies by employing game theory as the analytical framework. Subsequently, we utilize the Microscopic Markov Chain Approach to delineate the dynamic process and establish the disease prevalence threshold. Our research results indicate that, during behavioral decision-making processes, the consideration of economic factors significantly outweighs the influence of environmental pressure in controlling diseases. In terms of economic, restrictive mechanisms are more effective than subsidy mechanisms in controlling the transmission of diseases at a relatively lower cost. Furthermore, from the environmental pressure perspective, local environmental pressure perception exerts a greater influence on disease control compared to global pressure perception. Our research contributes to comprehensively considering economic and environmental pressure factors, offering robust support for a deeper understanding of the co-evolution of information, behavior, and disease dynamics.

Suggested Citation

  • Huo, Liang’an & Zhang, Panpan & Gu, Jiafeng, 2025. "The effect of economic and environmental pressure factors on individuals' vaccination strategies in multiplex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 675(C).
    • Handle: RePEc:eee:phsmap:v:675:y:2025:i:c:s0378437125004546
    DOI: 10.1016/j.physa.2025.130802
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378437125004546
    Download Restriction: Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000
    File URL: https://libkey.io/10.1016/j.physa.2025.130802?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Huo, Liang’an & Yu, Yue, 2023. "The impact of the self-recognition ability and physical quality on coupled negative information-behavior-epidemic dynamics in multiplex networks," Chaos, Solitons & Fractals, Elsevier, vol. 169(C).
    2. Zhang, Zehui & Zhu, Kangci & Wang, Fang, 2025. "Indirect information propagation model with time-delay effect on multiplex networks," Chaos, Solitons & Fractals, Elsevier, vol. 192(C).
    3. Huang, He & Pan, Jialin & Chen, Yahong, 2024. "The competitive diffusion of knowledge and rumor in a multiplex network: A mathematical model," Applied Mathematics and Computation, Elsevier, vol. 475(C).
    4. Chris T Bauch & Samit Bhattacharyya, 2012. "Evolutionary Game Theory and Social Learning Can Determine How Vaccine Scares Unfold," PLOS Computational Biology, Public Library of Science, vol. 8(4), pages 1-12, April.
    5. Tang, Guo-Mei & Cai, Chao-Ran & Wu, Zhi-Xi, 2017. "Evolutionary vaccination dynamics with internal support mechanisms," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 473(C), pages 135-143.
    6. Iacopo Iacopini & Giovanni Petri & Alain Barrat & Vito Latora, 2019. "Simplicial models of social contagion," Nature Communications, Nature, vol. 10(1), pages 1-9, December.
    7. Wang, Huan & Ma, Chuang & Chen, Han-Shuang & Zhang, Hai-Feng, 2021. "Effects of asymptomatic infection and self-initiated awareness on the coupled disease-awareness dynamics in multiplex networks," Applied Mathematics and Computation, Elsevier, vol. 400(C).
    8. Barbara Morsello & Paolo Giardullo, 2025. "Navigating Non‐Invitation: Pro‐Vaccine Choice Communities Amidst Exclusion and Public Participation," Social Inclusion, Cogitatio Press, vol. 13.
    9. Wang, Jingrui & Zhang, Huizhen & Jin, Xing & Ma, Leyu & Chen, Yueren & Wang, Chao & Zhao, Jian & An, Tianbo, 2023. "Subsidy policy with punishment mechanism can promote voluntary vaccination behaviors in structured populations," Chaos, Solitons & Fractals, Elsevier, vol. 174(C).
    10. Wang, Xinyu & Jia, Danyang & Gao, Shupeng & Xia, Chengyi & Li, Xuelong & Wang, Zhen, 2020. "Vaccination behavior by coupling the epidemic spreading with the human decision under the game theory," Applied Mathematics and Computation, Elsevier, vol. 380(C).
    11. Lu, Yikang & de Miguel-Arribas, Alfonso & Shi, Lei, 2025. "Influence of social peers on vaccine hesitancy under imperfect vaccination," Applied Mathematics and Computation, Elsevier, vol. 491(C).
    12. Xiuling Wang & Jie Wu & Gang Shu & Ya Li, 2014. "Punishment Based on Public Benefit Fund Significantly Promotes Cooperation," PLOS ONE, Public Library of Science, vol. 9(8), pages 1-8, August.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. He, Jialu & Lan, Xue & Zheng, Yupeng & Zhang, Han & Liu, Chunhe, 2025. "The impact of preference selection based on influence in spatial evolutionary vaccination game," Chaos, Solitons & Fractals, Elsevier, vol. 199(P3).
    2. Meng, Xueyu & Lin, Jianhong & Fan, Yufei & Gao, Fujuan & Fenoaltea, Enrico Maria & Cai, Zhiqiang & Si, Shubin, 2023. "Coupled disease-vaccination behavior dynamic analysis and its application in COVID-19 pandemic," Chaos, Solitons & Fractals, Elsevier, vol. 169(C).
    3. Ni, Chengzhang & Wang, Bin & Song, Lin & Sun, Yi & Pang, Zezhao, 2026. "Modeling the interactive diffusion of information in multilayer networks with simplicial complexes," Chaos, Solitons & Fractals, Elsevier, vol. 202(P2).
    4. Wu, Bingjie & Huo, Liang'an, 2024. "The influence of different government policies on the co-evolution of information dissemination, vaccination behavior and disease transmission in multilayer networks," Chaos, Solitons & Fractals, Elsevier, vol. 180(C).
    5. You, Xuemei & Fan, Xiaonan & Ma, Yinghong & Liu, Zhiyuan, 2025. "Information-disease coupling dynamics with message fatigue and behavioral responses in higher-order weighted networks," Chaos, Solitons & Fractals, Elsevier, vol. 199(P3).
    6. Wang, Jingrui & Li, Juan & Wang, Zhen, 2025. "Impact of infectious sources on the vaccination dilemma in networked population," Chaos, Solitons & Fractals, Elsevier, vol. 200(P1).
    7. Zhang, Rongping & Liu, Maoxing & Xie, Boli, 2022. "The analysis of discrete-time epidemic model on networks with protective measures on game theory," Chaos, Solitons & Fractals, Elsevier, vol. 158(C).
    8. Ding, Hong & Xu, Jia-Hao & Wang, Zhen & Ren, Yi-Zhi & Cui, Guang-Hai, 2018. "Subsidy strategy based on history information can stimulate voluntary vaccination behaviors on seasonal diseases," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 503(C), pages 390-399.
    9. Wang, Jingrui & Zhang, Huizhen & Jin, Xing & Ma, Leyu & Chen, Yueren & Wang, Chao & Zhao, Jian & An, Tianbo, 2023. "Subsidy policy with punishment mechanism can promote voluntary vaccination behaviors in structured populations," Chaos, Solitons & Fractals, Elsevier, vol. 174(C).
    10. Huang, He & Pan, Jialin & Chen, Yahong, 2024. "The competitive diffusion of knowledge and rumor in a multiplex network: A mathematical model," Applied Mathematics and Computation, Elsevier, vol. 475(C).
    11. Wu, Bingjie & Huo, Liang’an, 2025. "Studying the impact of individual emotional states on the co-evolution of information, behavior and disease in multiplex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 665(C).
    12. Kabir, K.M. Ariful & Tanimoto, Jun, 2019. "Dynamical behaviors for vaccination can suppress infectious disease – A game theoretical approach," Chaos, Solitons & Fractals, Elsevier, vol. 123(C), pages 229-239.
    13. Kimberly M. Thompson, 2016. "Evolution and Use of Dynamic Transmission Models for Measles and Rubella Risk and Policy Analysis," Risk Analysis, John Wiley & Sons, vol. 36(7), pages 1383-1403, July.
    14. Huan Wang & Chuang Ma & Han-Shuang Chen & Ying-Cheng Lai & Hai-Feng Zhang, 2022. "Full reconstruction of simplicial complexes from binary contagion and Ising data," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
    15. Federico Malizia & Santiago Lamata-Otín & Mattia Frasca & Vito Latora & Jesús Gómez-Gardeñes, 2025. "Hyperedge overlap drives explosive transitions in systems with higher-order interactions," Nature Communications, Nature, vol. 16(1), pages 1-10, December.
    16. Wang, Haiqing & Huang, He & Liu, Haiyan, 2026. "Competition or cooperation? Multiple information diffusion against epidemic spreading in a multiplex network," Chaos, Solitons & Fractals, Elsevier, vol. 203(C).
    17. Kulsum, Umma & Alam, Muntasir & Kamrujjaman, Md., 2024. "Modeling and investigating the dilemma of early and delayed vaccination driven by the dynamics of imitation and aspiration," Chaos, Solitons & Fractals, Elsevier, vol. 178(C).
    18. Xie, Xiaoxiao & Huo, Liang'an, 2024. "Co-evolution dynamics between information and epidemic with asymmetric activity levels and community structure in time-varying multiplex networks," Chaos, Solitons & Fractals, Elsevier, vol. 181(C).
    19. Singh, Arpit & Verma, Umesh Kumar & Sharma, Amit & Mishra, Ajay & Varshney, Vaibhav, 2026. "Chimera death in limit-cycle oscillators with higher-order multilayer networks," Chaos, Solitons & Fractals, Elsevier, vol. 202(P1).
    20. Liu, Yihan & Tang, Ming & Zhou, Yinzuo, 2026. "The impact of high-order multi-source information verification mechanisms on propagation dynamics in multilayer high-order networks," Chaos, Solitons & Fractals, Elsevier, vol. 203(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:phsmap:v:675:y:2025:i:c:s0378437125004546. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/physica-a-statistical-mechpplications/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.