Application of the first exit time stochastic model with self-repair mechanism to human mortality rates

The purpose of this study is to construct a mortality model that reasonably explains survival curves and mortality rates in terms of the decline in biological function, which is the phenomenon of ageing. In this model, an individual organism is regarded as a collection of subsystems, and for each subsystem, the model defines human mortality by introducing positive self-repair mechanisms and stochastically generated negative external shocks. The probability density function of the time of death is derived explicitly, and the model parameters are estimated using life tables from Japan and the UK, which demonstrate the existence of multiple parameter sets that fit well with the observed data.

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Publication Details

Journal
Journal of Mathematical Biology
Published
2024-11-06
DOI
https://doi.org/10.1007/s00285-024-02150-4
Citations
2
Primary Topic
Insurance, Mortality, Demography, Risk Management
Type
article
Field-Weighted Citation Impact
3.42
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article

Application of the first exit time stochastic model with self-repair mechanism to human mortality rates

Masayasu Hosonuma, N. Shimoyama
2 citations
Journal of Mathematical Biology
Insurance, Mortality, Demography, Risk Management
3.42
article

Application of the first exit time stochastic model with self-repair mechanism to human mortality rates

Masayasu Hosonuma, N. Shimoyama
article en
2 citations

Abstract

The purpose of this study is to construct a mortality model that reasonably explains survival curves and mortality rates in terms of the decline in biological function, which is the phenomenon of ageing. In this model, an individual organism is regarded as a collection of subsystems, and for each subsystem, the model defines human mortality by introducing positive self-repair mechanisms and stochastically generated negative external shocks. The probability density function of the time of death is derived explicitly, and the model parameters are estimated using life tables from Japan and the UK, which demonstrate the existence of multiple parameter sets that fit well with the observed data.

Journal of Mathematical BiologyVol. 89(6)
Northwestern Mutual Life Insurance (United States) (US)
Good health and well-being
Openalex Percentile: Top 6%
Insurance, Mortality, Demography, Risk Management
3.42
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