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Tytuł pozycji:

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

Tytuł:
Impact of variability of reproductive ageing and rate on childhood infectious disease prevention and control: insights from stage-structured population models.
Autorzy:
Su Q; Laboratory for Industrial and Applied Mathematics (LIAM), Department of Mathematics and Statistics, York University, Toronto, Ontario M3J 1P3, Canada.
Wu J; Laboratory for Industrial and Applied Mathematics (LIAM), Department of Mathematics and Statistics, York University, Toronto, Ontario M3J 1P3, Canada.
Źródło:
Mathematical biosciences and engineering : MBE [Math Biosci Eng] 2020 Nov 04; Vol. 17 (6), pp. 7671-7691.
Typ publikacji:
Journal Article
Język:
English
Imprint Name(s):
Original Publication: Springfield, MO, USA : [S.l.] : American Institute of Mathematical Sciences; Beihang University
MeSH Terms:
Aging*
Communicable Diseases*/epidemiology
Communicable Diseases*/transmission
Reproduction*
Basic Reproduction Number ; Child ; Humans ; Models, Biological
Contributed Indexing:
Keywords: childhood infectious diseases; delay differential equation; nonlinear feedback on reproduction ageing and rate; stability; stage structured dynamical model
Entry Date(s):
Date Created: 20201231 Date Completed: 20210526 Latest Revision: 20210526
Update Code:
20240105
DOI:
10.3934/mbe.2020390
PMID:
33378914
Czasopismo naukowe
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.

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