Special Issue "Modelling and Analysis in Biomathematics"

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

Deadline for manuscript submissions: closed (31 May 2021).

Special Issue Editors

Prof. Dr. M. Victoria Otero-Espinar
E-Mail Website
Guest Editor
Departamento de Estatística, Análise Matemática e Optimización, Instituto de Matemáticas, Universidade de Santiago de Compostela, 15705 Galicia, Spain
Interests: differential and difference equations; dynamical systems; time scales; nonlinear analysis; biomatemathical models
Prof. Dr. Àngel Calsina
E-Mail Website
Guest Editor
Departament de Matemàtiques, Universitat Autònoma de Barcelona, Spain
Interests: partial differential equations; mathematical biology

Special Issue Information

Dear Colleagues,

There are many current scientific challenges in the field of biosciences. Mathematical models are a powerful tool to advance scientific research in these fields.

The purpose of this Special Issue is to gather the latest contributions with the recent advances in the theory and applications of mathematical models arising in the broad fields of cell and developmental biology, systems biology, ecology, epidemiology, population dynamics, medicine, pharmacy, therapy and vaccination strategies, biotechnology, bioengineering, environmental science, etc.

We invite the authors to submit original research articles and high-quality review articles in biomathematics obtained from development, analysis, and simulation of mathematical models based on ordinary differential equations, difference equations, dynamical systems, partial differential equations, integrodifferential equations, impulsive differential equations, fractional order differential equations, variational methods, optimal control, Markov models, and others.

Prof. Dr. M. Victoria Otero-Espinar
Prof. Dr. Àngel Calsina
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Mathematics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Biomathematics
  • Mathematical models in biosciences
  • Mathematical ecology and epidemiology
  • Differential and difference equations
  • Partial differential equations
  • Integro-differential equations
  • Fractional differential equations
  • Variational methods
  • Dynamical systems
  • Computational and numerical methods

Published Papers (8 papers)

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Research

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Article
Dynamical Strategy to Control the Accuracy of the Nonlinear Bio-Mathematical Model of Malaria Infection
Mathematics 2021, 9(9), 1031; https://doi.org/10.3390/math9091031 - 02 May 2021
Viewed by 290
Abstract
This study focuses on solving the nonlinear bio-mathematical model of malaria infection. For this aim, the HATM is applied since it performs better than other methods. The convergence theorem is proven to show the capabilities of this method. Instead of applying the FPA, [...] Read more.
This study focuses on solving the nonlinear bio-mathematical model of malaria infection. For this aim, the HATM is applied since it performs better than other methods. The convergence theorem is proven to show the capabilities of this method. Instead of applying the FPA, the CESTAC method and the CADNA library are used, which are based on the DSA. Applying this method, we will be able to control the accuracy of the results obtained from the HATM. Also the optimal results and the numerical instabilities of the HATM can be obtained. In the CESTAC method, instead of applying the traditional absolute error to show the accuracy, we use a novel condition and the CESTAC main theorem allows us to do that. Plotting several -curves the regions of convergence are demonstrated. The numerical approximations are obtained based on both arithmetics. Full article
(This article belongs to the Special Issue Modelling and Analysis in Biomathematics)
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Article
Dynamics of a Two Prey and One Predator System with Indirect Effect
Mathematics 2021, 9(4), 436; https://doi.org/10.3390/math9040436 - 22 Feb 2021
Viewed by 492
Abstract
We study a population model with two preys and one predator, considering a Holling type II functional response for the interaction between first prey and predator and taking into account indirect effect of predation. We perform the stability analysis of equilibria and study [...] Read more.
We study a population model with two preys and one predator, considering a Holling type II functional response for the interaction between first prey and predator and taking into account indirect effect of predation. We perform the stability analysis of equilibria and study the possibility of Hopf bifurcation. We also include a detailed discussion on the problem of persistence. Several numerical simulations are provided in order to illustrate the theoretical results of the paper. Full article
(This article belongs to the Special Issue Modelling and Analysis in Biomathematics)
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Article
Modeling the Dependence of Immunodominance on T Cell Dynamics in Prime-Boost Vaccines
Mathematics 2021, 9(1), 28; https://doi.org/10.3390/math9010028 - 24 Dec 2020
Viewed by 610
Abstract
The protection induced by vaccines against infectious diseases such as malaria, dengue or hepatitis relies on a the creation of immune memory by T cells, key components of the human immune system. The induction of a strong T cell response leading to long [...] Read more.
The protection induced by vaccines against infectious diseases such as malaria, dengue or hepatitis relies on a the creation of immune memory by T cells, key components of the human immune system. The induction of a strong T cell response leading to long lasting memory can be improved by using prime-boost (PB) vaccines, which consist in successive inoculations of appropriate vectors carrying target antigens that can be recognized by specific T cell clones. A problem faced by PB vaccines is the fact that T cell response is often biased towards a few clones that can identify only a small set of antigens, out of the many that could be displayed by the pathogen. This phenomenon, known as immunodominance, can significantly compromise the effectiveness of vaccination. In this work we will use mathematical modeling to better understand the role of T cell population dynamics in the onset of immunodominance in PB vaccines. In particular, we will use mathematical analysis and simulations to compare single-dose vaccines with PB ones, both for homologous (where the same antigen is used in every shot) and heterologous protocols (in which different antigens are used at each step). Full article
(This article belongs to the Special Issue Modelling and Analysis in Biomathematics)
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Article
Estimation of Synaptic Activity during Neuronal Oscillations
Mathematics 2020, 8(12), 2153; https://doi.org/10.3390/math8122153 - 03 Dec 2020
Viewed by 498
Abstract
In the study of brain connectivity, an accessible and convenient way to unveil local functional structures is to infer the time trace of synaptic conductances received by a neuron by using exclusively information about its membrane potential (or voltage). Mathematically speaking, it constitutes [...] Read more.
In the study of brain connectivity, an accessible and convenient way to unveil local functional structures is to infer the time trace of synaptic conductances received by a neuron by using exclusively information about its membrane potential (or voltage). Mathematically speaking, it constitutes a challenging inverse problem: it consists in inferring time-dependent parameters (synaptic conductances) departing from the solutions of a dynamical system that models the neuron’s membrane voltage. Several solutions have been proposed to perform these estimations when the neuron fluctuates mildly within the subthreshold regime, but very few methods exist for the spiking regime as large amplitude oscillations (revealing the activation of complex nonlinear dynamics) hinder the adaptability of subthreshold-based computational strategies (mostly linear). In a previous work, we presented a mathematical proof-of-concept that exploits the analytical knowledge of the period function of the model. Inspired by the relevance of the period function, in this paper we generalize it by providing a computational strategy that can potentially adapt to a variety of models as well as to experimental data. We base our proposal on the frequency versus synaptic conductance curve (fgsyn), derived from an analytical study of a base model, to infer the actual synaptic conductance from the interspike intervals of the recorded voltage trace. Our results show that, when the conductances do not change abruptly on a time-scale smaller than the mean interspike interval, the time course of the synaptic conductances is well estimated. When no base model can be cast to the data, our strategy can be applied provided that a suitable fgsyn table can be experimentally constructed. Altogether, this work opens new avenues to unveil local brain connectivity in spiking (nonlinear) regimes. Full article
(This article belongs to the Special Issue Modelling and Analysis in Biomathematics)
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Article
Mathematical Modeling of Japanese Encephalitis under Aquatic Environmental Effects
Mathematics 2020, 8(11), 1880; https://doi.org/10.3390/math8111880 - 30 Oct 2020
Viewed by 693
Abstract
We propose a mathematical model for the spread of Japanese encephalitis with emphasis on the environmental effects on the aquatic phase of mosquitoes. The model is shown to be biologically well-posed and to have a biologically and ecologically meaningful disease-free equilibrium point. Local [...] Read more.
We propose a mathematical model for the spread of Japanese encephalitis with emphasis on the environmental effects on the aquatic phase of mosquitoes. The model is shown to be biologically well-posed and to have a biologically and ecologically meaningful disease-free equilibrium point. Local stability is analyzed in terms of the basic reproduction number and numerical simulations presented and discussed. Full article
(This article belongs to the Special Issue Modelling and Analysis in Biomathematics)
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Article
Analytical Estimation of Temperature in Living Tissues Using the TPL Bioheat Model with Experimental Verification
Mathematics 2020, 8(7), 1188; https://doi.org/10.3390/math8071188 - 19 Jul 2020
Cited by 1 | Viewed by 607
Abstract
The aim of this study is to propose the analytical method associated with Laplace transforms and experimental verification to estimate thermal damages and temperature due to laser irradiation by utilizing measurement information of skin surface. The thermal damages to the tissues are totally [...] Read more.
The aim of this study is to propose the analytical method associated with Laplace transforms and experimental verification to estimate thermal damages and temperature due to laser irradiation by utilizing measurement information of skin surface. The thermal damages to the tissues are totally estimated by denatured protein ranges using the formulations of Arrhenius. By using Laplace transformations, the exact solution of all physical variables is obtained. Numerical results for the temperature and thermal damage are presented graphically. Furthermore, the comparisons between the numerical calculations with experimental verification show that the three-phase lag bioheat mathematical model is an efficient tool for estimating the bioheat transfer in skin tissue. Full article
(This article belongs to the Special Issue Modelling and Analysis in Biomathematics)
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Article
On the Zero-Hopf Bifurcation of the Lotka–Volterra Systems in R 3
Mathematics 2020, 8(7), 1137; https://doi.org/10.3390/math8071137 - 12 Jul 2020
Cited by 1 | Viewed by 557
Abstract
Here we study 3-dimensional Lotka–Volterra systems. It is known that some of these differential systems can have at least four periodic orbits bifurcating from one of their equilibrium points. Here we prove that there are some of these differential systems exhibiting at least [...] Read more.
Here we study 3-dimensional Lotka–Volterra systems. It is known that some of these differential systems can have at least four periodic orbits bifurcating from one of their equilibrium points. Here we prove that there are some of these differential systems exhibiting at least six periodic orbits bifurcating from one of their equilibrium points. We remark that these systems with such six periodic orbits are non-competitive Lotka–Volterra systems. The proof is done using the algorithm that we provide for computing the periodic solutions that bifurcate from a zero-Hopf equilibrium based in the averaging theory of third order. This algorithm can be applied to any differential system having a zero-Hopf equilibrium. Full article
(This article belongs to the Special Issue Modelling and Analysis in Biomathematics)

Review

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Review
A Review on a Class of Second Order Nonlinear Singular BVPs
Mathematics 2020, 8(7), 1045; https://doi.org/10.3390/math8071045 - 28 Jun 2020
Cited by 6 | Viewed by 815
Abstract
Several real-life problems are modeled by nonlinear singular differential equations. In this article, we study a class of nonlinear singular differential equations, explore its various aspects, and provide a detailed literature survey. Nonlinear singular differential equations are not easy to solve and their [...] Read more.
Several real-life problems are modeled by nonlinear singular differential equations. In this article, we study a class of nonlinear singular differential equations, explore its various aspects, and provide a detailed literature survey. Nonlinear singular differential equations are not easy to solve and their exact solution does not exist in most cases. Since the exact solution does not exist, it is natural to look for the existence of the analytical solution and numerical solution. In this survey, we focus on both aspects of nonlinear singular boundary value problems (SBVPs) and cover different analytical and numerical techniques which are developed to deal with a class of nonlinear singular differential equations ( p ( x ) y ( x ) ) = q ( x ) f ( x , y , p y ) for x ( 0 , b ) , subject to suitable initial and boundary conditions. The monotone iterative technique has also been briefed as it gained a lot of attention during the last two decades and it has been merged with most of the other existing techniques. A list of SBVPs is also provided which will be of great help to researchers working in this area. Full article
(This article belongs to the Special Issue Modelling and Analysis in Biomathematics)
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