Prediction of the human life expectancy
A. Laszkiewicz, Sz. Szymczak, S. Cebrat
Abstract
We have simulated demographic changes in the human population using the Penna microscopic model, based on the simple Monte Carlo method. The results of simulations have shown that during a few generations changes in the genetic pool of a population are negligible, while improving the methods of compensation of genetic defects or genetically determined proneness to many disorders drastically affects the average life span of organisms. Age distribution and mortality of the simulated populations correspond very well to real demographic data available from different countries. Basing on the comparison of structures of real human populations and the results of simulations it is possible to predict changes in the age structure of populations in the future.
Create a lesson
Related papers
Partial Localization and Multifractality in Heterogeneous Population Growth with Resetting
Maximilien Bernard, Giuseppe Del Vecchio Del Vecchio, Jean-Philippe Bouchaud et al.
Sluggish random walks with resetting: nonequilibrium aspects
Theophilus Dwamena Frimpong, Léa Bresque, Edgar Roldán
Spin-1/2 Heisenberg diamond-like decorated honeycomb lattice in a magnetic field from the perspective of localized magnons and exact diagonalization
Katarina Karlova, Malo Rouxel, Jozef Strecka et al.
Twist-controlled thermodynamic anomalies in bilayer q-state clock models
Ze-Heng Yu, Liang He
Diffusion-Induced Stabilization of Nonreciprocal Wealth Dynamics
Pierre Bousseyroux, Gilles Zérah, Michael Benzaquen
Synchronization induced by stochastic subsystem resetting in complex networks
Kevin Paramero-Arias, Alejandro P. Riascos