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| Impact of Bidirectional Immunization on Epidemic Spreading in Complex Networks |
| HAN Shixiang1,2,3, YAN Guanghui1,2, PEI Huayan1,2
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1. School of Electronics and Information Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China;
2. Key Laboratory of Media Convergence Technology and Communication, Lanzhou 730030, China;
3. School of Computer Science and Technology, Beijing Jiaotong University, Beijing 100044, China |
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Abstract In epidemic prevention and control efforts, the rational allocation of medical resources has consistently been a focal point of attention for professionals in the field. In order to investigate the practical effectiveness of various immune measures in epidemic prevention during the process of pandemic spread, this study introduces an infectious disease model within complex networks that considers bidirectional immune interventions. Through theoretical analysis and numerical simulations of the model, we delve into a detailed discussion on the impact of immune measures targeted at different population groups on the transmission of the virus. In the theoretical analysis, the stability of the disease-free equilibrium point in the model is examined through the incorporation of the basic reproduction number analysis. In numerical simulations, the impact of bidirectional immunization and population mobility on the spread of infectious diseases is scrutinized through Monte Carlo simulations within the context of complex networks. Simulation results indicate that, compared to enhancing the recovery rate of infected individuals, increasing the immunization rate among susceptible individuals can more effectively reduce the scale of infectious diseases.
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Received: 14 November 2023
Published: 10 December 2025
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