https://doi.org/10.1140/epjb/s10051-024-00816-y
Regular Article – Statistical and Nonlinear Physics
Effects of self-protection awareness behavior on epidemic spreading in complex networks
School of Electronic and Information Engineering, Lanzhou Jiaotong University, 88 Anning West Road, 730070, Lanzhou, Gansu, China
Received:
5
September
2024
Accepted:
25
October
2024
Published online:
11
December
2024
This study introduces an extension of the classical Susceptible-Infectious-Recovered (SIR) model by incorporating individual self-protection awareness to more accurately reflect its impact on epidemic spread. We derive outbreak thresholds for both homogeneous and heterogeneous networks and validate the model through theoretical analysis. Key findings from numerical simulations on Erdős-Rényi (ER) and Barabási-Albert (BA) networks show that self-protective behaviors significantly reduce the epidemic spread. Notably, while heterogeneous networks demonstrate a more pronounced reduction in the peak of infected individuals, they still exhibit a larger final infection scale and a lower outbreak threshold. These results highlight the dual impact of network structure and self-protection awareness on epidemic dynamics, offering new insights for infectious disease control strategies.
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© The Author(s), under exclusive licence to EDP Sciences, SIF and Springer-Verlag GmbH Germany, part of Springer Nature 2024
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
