A compartmental epidemic model with age stratification for insurance premium calculation
Kadyrov S. Kayumova G. Yallaboyev A. Sagidolla B.
2025American Institute of Mathematical Sciences
Mathematical Biosciences and Engineering
2025#22Issue 123088 - 3106 pp.
This paper develops a mathematical framework for life and health insurance premium calculation under epidemic conditions, incorporating age-structured population dynamics and disease compartments. We proposed a compartmental epidemic model with three age groups and four states (susceptible, infectious, recovered, deceased) to reflect heterogeneity in disease progression and risk exposure. The model captures differential mortality and morbidity risks across age groups and infection states, enabling dynamic adjustment of insurance premiums. By integrating actuarial principles with epidemic-driven transition probabilities, we derived explicit premium formulas and validated them through numerical simulations. Our results demonstrate that age stratification and detailed infection stages significantly impact premium pricing, particularly for older populations with higher mortality risks. Sensitivity analysis reveals that recovery and mortality rates are key drivers of premium variability. The framework provides insurers with a robust tool for pandemic risk assessment, ensuring solvency while maintaining affordability.
actuarial principles , age stratification , disease dynamics , epidemic modeling , genetic algorithm , health insurance , hospitalization costs , parameter estimation , premium calculation , sensitivity analysis , SIRD model
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New Uzbekistan University, Tashkent, 100000, Uzbekistan
SDU University, Kaskelen, 040900, Kazakhstan
New Uzbekistan University
SDU University
10 лет помогаем публиковать статьи Международный издатель
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