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Influence of local and global effect on co-evolution of information-vaccination behavior-epidemic spread in multiple network

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  • Huo, Liang an
  • Li, Qing

Abstract

During large-scale epidemic outbreaks, individual preventive behaviors are shaped by both received information and perceived epidemic severity. This study develops a three-level coupled model (UPNU−WV−SIS) to examine the co-evolution of information diffusion, vaccination behavior, and epidemic transmission. Specifically, it investigates the dual influence of positive and negative information, as well as the perceived severity of the epidemic-sourced from both local and global environments on vaccination decisions. Sig-moid functions are employed to characterize influence of these factors on vaccination behavior, and the behavior subsequent effects on epidemic transmission. A Microscopic Markov Chain Approach (MMCA) is used to describe the dynamic process and further derive the epidemic outbreak threshold. The results reveal that local epidemic severity has the greatest influence on the scale of infection; followed by global information, which also significantly affects epidemic transmission; Local information has a comparatively smaller effect, while global epidemic severity has the least influence.

Suggested Citation

  • Huo, Liang an & Li, Qing, 2025. "Influence of local and global effect on co-evolution of information-vaccination behavior-epidemic spread in multiple network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 675(C).
    • Handle: RePEc:eee:phsmap:v:675:y:2025:i:c:s0378437125004923
    DOI: 10.1016/j.physa.2025.130840
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