Dynamics and Differential Equations in Mathematical Biology

A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Mathematical Biology".

Deadline for manuscript submissions: 31 January 2025 | Viewed by 1616

Special Issue Editor


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Departamento de Matemáticas, Facultad de Ciencias, Universidad de Chile, Casilla 653, Las Palmeras 3425, Nuñoa, Santiago, Chile
Interests: nonautonomous ODE; dichotomies; chemostat equations

Special Issue Information

Dear Colleagues,

The first half of the 20th century can be seen as a golden age for the use of differential equations in the modeling of phenomena arising from the life sciences. This period gathers significant milestones: the rediscovering of the Verhulst logistic equation by Pearl, the predator–prey equations introduced by Lotka and Volterra, the Mosquito’s theorem of Ross, the SIR-SIS epidemiological models introduced by Kermack and McKendrick, the chemostat equations proposed by Slizard and Novick,  the Nicholson’s Blowflies equation, the action potential in neurons described by the FitzHugh–Nagumo and Hodgkin–Huxley models, etc. These models describe a long and well-known history of achievements.

At the same time, the research on the qualitative properties of the solutions of differential equations biologically oriented has stimulated the development of new mathematical concepts and theories, e.g, the notion of uniform persistence and the theory of monotone dynamical systems (population dynamics) or the theory of indirect effects in trophic chains (ecology). Some ideas in chaos theory were suggested using models inspired in biology. In addition, several conjectures (solved and unsolved) of mathematical interest arise from equations describing a biological phenomenon, such as the Wright conjecture, for example.

This Special Issue focuses on the virtuous and endless encounters among modeling of natural phenomena, the theoretical questions arising from these models and the development of new concepts and theories.

Contributions are invited from those working in the mathematical modeling of biological phenomena using differential equations (partial, ordinary, delay or impulsive) and those who are interested in the development of the qualitative theory inspired by biologically oriented models.

We look forward to receiving your submissions.

Dr. Gonzalo Robledo
Guest Editor

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Keywords

  • population dynamics
  • mathematical epidemiology
  • uniform persistence
  • bioprocesses
  • optimal control applied to life sciences

Published Papers (1 paper)

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Research

26 pages, 2070 KiB  
Article
Modeling Typhoid Fever Dynamics: Stability Analysis and Periodic Solutions in Epidemic Model with Partial Susceptibility
by Fawaz K. Alalhareth, Mohammed H. Alharbi and Mahmoud A. Ibrahim
Mathematics 2023, 11(17), 3713; https://doi.org/10.3390/math11173713 - 29 Aug 2023
Cited by 1 | Viewed by 1280
Abstract
Mathematical models play a crucial role in predicting disease dynamics and estimating key quantities. Non-autonomous models offer the advantage of capturing temporal variations and changes in the system. In this study, we analyzed the transmission of typhoid fever in a population using a [...] Read more.
Mathematical models play a crucial role in predicting disease dynamics and estimating key quantities. Non-autonomous models offer the advantage of capturing temporal variations and changes in the system. In this study, we analyzed the transmission of typhoid fever in a population using a compartmental model that accounted for dynamic changes occurring periodically in the environment. First, we determined the basic reproduction number, R0, for the periodic model and derived the time-average reproduction rate, [R0], for the non-autonomous model as well as the basic reproduction number, R0A, for the autonomous model. We conducted an analysis to examine the global stability of the disease-free solution and endemic periodic solutions. Our findings demonstrated that when R0<1, the disease-free solution was globally asymptotically stable, indicating the extinction of typhoid fever. Conversely, when R0>1, the disease became endemic in the population, confirming the existence of positive periodic solutions. We also presented numerical simulations that supported these theoretical results. Furthermore, we conducted a sensitivity analysis of R0A, [R0] and the infected compartments, aiming to assess the impact of model parameters on these quantities. Our results showed that the human-to-human infection rate has a significant impact on the reproduction number, while the environment-to-human infection rate and the bacteria excretion rate affect long-cycle infections. Moreover, we examined the effects of parameter modifications and how they impact the implementing of efficient control strategies to combat TyF. Although our model is limited by the lack of precise parameter values, the qualitative results remain consistent even with alternative parameter settings. Full article
(This article belongs to the Special Issue Dynamics and Differential Equations in Mathematical Biology)
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