The impact of profit-regulated insurance on mitigating contagion risks in networks

Although subsidies can enhance insurance efficiency in mitigating epidemics, dependence on government funding raises concerns about long-term sustainability. This paper proposes a novel profit-regulated PDPI (precaution and dynamic post-indemnity) insurance model (PDPI-PR), designed to improve risk prevention and encourage insurance participation through the dynamic regulation and reallocation of insurer profits. This reallocation is determined by the scale of epidemics and the proportion of free riders. The effectiveness of the PDPI-PR insurance model is assessed through a networked vaccination game built on the susceptible-infected-recovered (SIR) model. Simulations conducted on scale-free networks demonstrate that the PDPI-PR insurance model substantially improves the efficiency of the PDPI insurance in mitigating risk propagation. Furthermore, optimization strategies are proposed to balance risk mitigation, social costs, and insurer profits in scenarios where insurer profits decline or social costs increase. In addition, the effectiveness of the PDPI-PR insurance model on Holme-Kim networks is also investigated. Overall, this study introduces an innovative approach to enhancing insurance effectiveness without requiring external funding, thereby providing valuable insights for future research and practical implementation.

Authors

Publication Details

Journal
International Journal of Modern Physics C
Published
2026-08-14
DOI
https://doi.org/10.1142/s0129183127501385
Primary Topic
COVID-19 epidemiological studies
Type
article
Field-Weighted Citation Impact
0.00
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article

The impact of profit-regulated insurance on mitigating contagion risks in networks

Xing Jin, Chuangchuang Zhang, Zhihua Zhang, Hongyong Yang et al.
International Journal of Modern Physics C
COVID-19 epidemiological studies
article

The impact of profit-regulated insurance on mitigating contagion risks in networks

Xing Jin, Chuangchuang Zhang, Zhihua Zhang, Hongyong Yang, Guanghai Cui, Junli Li
article en

Abstract

Although subsidies can enhance insurance efficiency in mitigating epidemics, dependence on government funding raises concerns about long-term sustainability. This paper proposes a novel profit-regulated PDPI (precaution and dynamic post-indemnity) insurance model (PDPI-PR), designed to improve risk prevention and encourage insurance participation through the dynamic regulation and reallocation of insurer profits. This reallocation is determined by the scale of epidemics and the proportion of free riders. The effectiveness of the PDPI-PR insurance model is assessed through a networked vaccination game built on the susceptible-infected-recovered (SIR) model. Simulations conducted on scale-free networks demonstrate that the PDPI-PR insurance model substantially improves the efficiency of the PDPI insurance in mitigating risk propagation. Furthermore, optimization strategies are proposed to balance risk mitigation, social costs, and insurer profits in scenarios where insurer profits decline or social costs increase. In addition, the effectiveness of the PDPI-PR insurance model on Holme-Kim networks is also investigated. Overall, this study introduces an innovative approach to enhancing insurance effectiveness without requiring external funding, thereby providing valuable insights for future research and practical implementation.

International Journal of Modern Physics C
Openalex Percentile: Top 10%
COVID-19 epidemiological studies
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