Literature DB >> 33378914

Impact of variability of reproductive ageing and rate on childhood infectious disease prevention and control: insights from stage-structured population models.

Qiuyi Su1, Jianhong Wu1.   

Abstract

We propose a stage-structured model of childhood infectious disease transmission dynamics, with the population demographics dynamics governed by a certain family and population planning strategy giving rise to nonlinear feedback delayed effects on the reproduction ageing and rate. We first describe the long-term aging-profile of the population by describing the pattern and stability of equilibrium of the demographic model. We also investigate the disease transmission dynamics, using the epidemic model when the population reaches the positive equilibrium (limiting equation). We establish conditions for the existence, uniqueness and global stability of the disease endemic equilibrium. We then prove the global stability of the endemic equilibrium for the original epidemic model with varying population demographics. The global stability of the endemic equilibrium allows us to examine the effects of reproduction ageing and rate, under different family planning strategies, on the childhood infectious disease transmission dynamics. We also examine demographic distribution, diseases reproductive number, infant disease rate and age distribution of disease, and as such, the work can be potentially used to inform targeted age group for optimal vaccine booster programs.

Entities:  

Keywords:  childhood infectious diseases ; delay differential equation ; nonlinear feedback on reproduction ageing and rate ; stability ; stage structured dynamical model

Mesh:

Year:  2020        PMID: 33378914     DOI: 10.3934/mbe.2020390

Source DB:  PubMed          Journal:  Math Biosci Eng        ISSN: 1547-1063            Impact factor:   2.080


  1 in total

1.  Infection Control-Based Construction of a Fever Outpatient Routine Management Model.

Authors:  Jingsong Wang; Zhen Tao; Kai Zhang; Shuai Wang
Journal:  Emerg Med Int       Date:  2022-09-14       Impact factor: 1.621

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.