Time-Inhomogeneous Finite Birth Processes with Applications in Epidemic Models

被引:2
|
作者
Giorno, Virginia [1 ]
Nobile, Amelia G. [1 ]
机构
[1] Univ Salerno, Dipartimento Informat, Via Giovanni Paolo II 132, I-84084 Fisciano, Salerno, Italy
关键词
population growth models; probability distribution of the number of infections; duration of the epidemic; first-passage time density; asymptotic behaviors; SIMPLE STOCHASTIC EPIDEMIC;
D O I
10.3390/math11214521
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
We consider the evolution of a finite population constituted by susceptible and infectious individuals and compare several time-inhomogeneous deterministic models with their stochastic counterpart based on finite birth processes. For these processes, we determine the explicit expressions of the transition probabilities and of the first-passage time densities. For time-homogeneous finite birth processes, the behavior of the mean and the variance of the first-passage time density is also analyzed. Moreover, the approximate duration until the entire population is infected is obtained for a large population size.
引用
收藏
页数:31
相关论文
共 50 条
  • [41] Time-inhomogeneous stochastic processes on the p-adic number field
    Kaneko, H
    TOHOKU MATHEMATICAL JOURNAL, 2003, 55 (01) : 65 - 87
  • [42] A simple approach to time-inhomogeneous dynamics and applications to (fast) simulated annealing
    Gielis, G
    Maes, C
    JOURNAL OF PHYSICS A-MATHEMATICAL AND GENERAL, 1999, 32 (29): : 5389 - 5407
  • [43] On-the-fly Uniformization of Time-Inhomogeneous Infinite Markov Population Models
    Andreychenko, Aleksandr
    Crouzen, Pepijn
    Mikeev, Linar
    Wolf, Verena
    ELECTRONIC PROCEEDINGS IN THEORETICAL COMPUTER SCIENCE, 2011, (57): : 1 - 15
  • [44] Some time-inhomogeneous diffusion models for population growth in random environments
    Giorno, Virginia
    Nobile, Amelia G.
    COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION, 2025, 142
  • [45] Stability Estimates for Finite-Dimensional Distributions of Time-Inhomogeneous Markov Chains
    Golomoziy, Vitaliy
    Mishura, Yuliya
    MATHEMATICS, 2020, 8 (02)
  • [46] Time-inhomogeneous Population Models of a Cycle-Stealing Distributed System
    Bradley, Jeremy T.
    Forshaw, Matthew
    Stefanek, Anton
    Thomas, Nigel
    ELECTRONIC NOTES IN THEORETICAL COMPUTER SCIENCE, 2015, 318 : 5 - 17
  • [47] Time-inhomogeneous random Markov chains
    Innocentini, G. C. P.
    Novaes, M.
    JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT, 2018,
  • [48] On geometric recurrence for time-inhomogeneous autoregression
    Golomoziy, Vitaliy
    MODERN STOCHASTICS-THEORY AND APPLICATIONS, 2023, 10 (03): : 313 - 341
  • [49] TIME-INHOMOGENEOUS AND NONLINEAR QUANTUM EVOLUTIONS
    FRIGERIO, A
    LECTURE NOTES IN MATHEMATICS, 1990, 1442 : 162 - 176
  • [50] Wiener-Hopf factorization technique for time-inhomogeneous finite Markov chains
    Bielecki, Tomasz R.
    Cheng, Ziteng
    Cialenco, Igor
    Gong, Ruoting
    STOCHASTICS-AN INTERNATIONAL JOURNAL OF PROBABILITY AND STOCHASTIC PROCESSES, 2021, 93 (01) : 130 - 166