Functional Differential Equations and Epidemiological Modelling

A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Difference and Differential Equations".

Deadline for manuscript submissions: closed (31 January 2023) | Viewed by 24015

Special Issue Editor


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Guest Editor
Department of Mathematics, Sun Yat-sen University, Guangzhou 510275, China
Interests: functional analysis; functional differential equations; ordinary differential equation; fuzzy logic
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Special Issue Information

Overview:

Functional differential equations play a major role in mathematical modeling. Over the past few years, the world has faced a major challenge from rapidly spreading and deathly infectious diseases. These infectious diseases have infected millions of people and even killed many of them all over the world. It is important to note that statistics (numbers of infected and deaths) provided by nations around the globe cannot offer a true numerical figure, because no one can realize if reported cases are cases unless verified, and there are undoubtedly other unknown infected individuals. Humans, in their part, as they have the goal of managing the world in which they live, have taken drastic steps to strike back to avoid the spread of these epidemics. To date, countless data have been collected in different countries, showing the number of deaths and recoveries in literature. Mathematical models may be useful if they are capable of replicating the observed facts, including the evaluation of the proposed models with experimental or collected data. If mathematical simulations are in strong compliance with experimental results, the future can be predicted. These steps give rise to a lot of research with many objectives.

This Special Issue aims at providing a specific opportunity to review the stability strategies for deadly diseases through modeling with functional applications. It will bring together researchers in relevant areas to discuss the latest progress, new research methodologies, and potential research topics. All original papers related to modeling and their application for optimization and control are welcome. The issue of the subject will be focused on but not limited to:

 Topics

  • Theory and applications of functional differential equations
  • Functional differential equations
  • Differential equations
  • Stochastic differential equations
  • Fractional differential equations
  • Deterministic and stochastic models of infectious diseases
  • Fractional models of infectious diseases
  • Review performance of mathematical models with delay equations with functional application
  • Theoretical, computational, and realistic nature of infectious disease' models
  • Review of effect of new fractal differential and integral operators for modelling infectious diseases/sources
  • Chaos theory for biological problems with functional application

Prof. Dr. Yongjin Li
Guest Editor

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Keywords

  • Theory and applications of functional differential equations
  • Functional differential equations
  • Differential equations
  • Stochastic differential equations
  • Fractional differential equations
  • Deterministic and stochastic models of infectious diseases
  • Fractional models of infectious diseases
  • Review performance of mathematical models with delay equations with functional application
  • Theoretical, computational, and realistic nature of infectious disease' models
  • Review of effect of new fractal differential and integral operators for modelling infectious diseases/sources
  • Chaos theory for biological problems with functional application

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Published Papers (10 papers)

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Research

21 pages, 3167 KiB  
Article
A New Mathematical Model of COVID-19 with Quarantine and Vaccination
by Ihtisham Ul Haq, Numan Ullah, Nigar Ali and Kottakkaran Sooppy Nisar
Mathematics 2023, 11(1), 142; https://doi.org/10.3390/math11010142 - 28 Dec 2022
Cited by 16 | Viewed by 4392
Abstract
A mathematical model revealing the transmission mechanism of COVID-19 is produced and theoretically examined, which has helped us address the disease dynamics and treatment measures, such as vaccination for susceptible patients. The mathematical model containing the whole population was partitioned into six different [...] Read more.
A mathematical model revealing the transmission mechanism of COVID-19 is produced and theoretically examined, which has helped us address the disease dynamics and treatment measures, such as vaccination for susceptible patients. The mathematical model containing the whole population was partitioned into six different compartments, represented by the SVEIQR model. Important properties of the model, such as the nonnegativity of solutions and their boundedness, are established. Furthermore, we calculated the basic reproduction number, which is an important parameter in infection models. The disease-free equilibrium solution of the model was determined to be locally and globally asymptotically stable. When the basic reproduction number R0 is less than one, the disease-free equilibrium point is locally asymptotically stable. To discover the approximative solution to the model, a general numerical approach based on the Haar collocation technique was developed. Using some real data, the sensitivity analysis of R0 was shown. We simulated the approximate results for various values of the quarantine and vaccination populations using Matlab to show the transmission dynamics of the Coronavirus-19 disease through graphs. The validation of the results by the Simulink software and numerical methods shows that our model and adopted methodology are appropriate and accurate and could be used for further predictions for COVID-19. Full article
(This article belongs to the Special Issue Functional Differential Equations and Epidemiological Modelling)
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17 pages, 746 KiB  
Article
Is the Increased Transmissibility of SARS-CoV-2 Variants Driven by within or Outside-Host Processes?
by Yehuda Arav, Eyal Fattal and Ziv Klausner
Mathematics 2022, 10(19), 3422; https://doi.org/10.3390/math10193422 - 20 Sep 2022
Cited by 1 | Viewed by 1944
Abstract
Understanding the factors that increase the transmissibility of the recently emerging variants of SARS-CoV-2 can aid in mitigating the COVID-19 pandemic. Enhanced transmissibility could result from genetic variations that improve how the virus operates within the host or its environmental survival. Variants with [...] Read more.
Understanding the factors that increase the transmissibility of the recently emerging variants of SARS-CoV-2 can aid in mitigating the COVID-19 pandemic. Enhanced transmissibility could result from genetic variations that improve how the virus operates within the host or its environmental survival. Variants with enhanced within-host behavior are either more contagious (leading infected individuals to shed more virus copies) or more infective (requiring fewer virus copies to infect). Variants with improved outside-host processes exhibit higher stability on surfaces and in the air. While previous studies focus on a specific attribute, we investigated the contribution of both within-host and outside-host processes to the overall transmission between two individuals. We used a hybrid deterministic-continuous and stochastic-jump mathematical model. The model accounts for two distinct dynamic regimes: fast-discrete actions of the individuals and slow-continuous environmental virus degradation processes. This model produces a detailed description of the transmission mechanisms, in contrast to most-viral transmission models that deal with large populations and are thus compelled to provide an overly simplified description of person-to-person transmission. We based our analysis on the available data of the Alpha, Epsilon, Delta, and Omicron variants on the household secondary attack rate (hSAR). The increased hSAR associated with the recent SARS-CoV-2 variants can only be attributed to within-host processes. Specifically, the Delta variant is more contagious, while the Alpha, Epsilon, and Omicron variants are more infective. The model also predicts that genetic variations have a minimal effect on the serial interval distribution, the distribution of the period between the symptoms’ onset in an infector–infectee pair. Full article
(This article belongs to the Special Issue Functional Differential Equations and Epidemiological Modelling)
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14 pages, 1335 KiB  
Article
A (2+1)-Dimensional Fractional-Order Epidemic Model with Pulse Jumps for Omicron COVID-19 Transmission and Its Numerical Simulation
by Wen-Jing Zhu, Shou-Feng Shen and Wen-Xiu Ma
Mathematics 2022, 10(14), 2517; https://doi.org/10.3390/math10142517 - 20 Jul 2022
Cited by 2 | Viewed by 1497
Abstract
In this paper, we would like to propose a (2+1)-dimensional fractional-order epidemic model with pulse jumps to describe the spread of the Omicron variant of COVID-19. The problem of identifying the involved parameters in the proposed model is reduced to a minimization problem [...] Read more.
In this paper, we would like to propose a (2+1)-dimensional fractional-order epidemic model with pulse jumps to describe the spread of the Omicron variant of COVID-19. The problem of identifying the involved parameters in the proposed model is reduced to a minimization problem of a quadratic objective function, based on the reported data. Moreover, we perform numerical simulation to study the effect of the parameters in diverse fractional-order cases. The number of undiscovered cases can be calculated precisely to assess the severity of the outbreak. The results by numerical simulation show that the degree of accuracy is higher than the classical epidemic models. The regular testing protocol is very important to find the undiscovered cases in the beginning of the outbreak. Full article
(This article belongs to the Special Issue Functional Differential Equations and Epidemiological Modelling)
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14 pages, 281 KiB  
Article
The Stability of Functional Equations with a New Direct Method
by Dongwen Zhang, Qi Liu, John Michael Rassias and Yongjin Li
Mathematics 2022, 10(7), 1188; https://doi.org/10.3390/math10071188 - 5 Apr 2022
Cited by 2 | Viewed by 2229
Abstract
We investigate the Hyers–Ulam stability of an equation involving a single variable of the form [...] Read more.
We investigate the Hyers–Ulam stability of an equation involving a single variable of the form f(x)αf(kn(x))βf(kn+1(x))u(x) where f is an unknown operator from a nonempty set X into a Banach space Y, and it preserves the addition operation, besides other certain conditions. The theory is employed and stability theorems are proven for various functional equations involving several variables. By comparing this method with the available techniques, it was noticed that this method does not require any restriction on the parity, on the domain, and on the range of the function. Our findings suggest that it is very much easy and more appropriate to apply the proposed method while investigating the stability of functional equations, in particular for several variables. Full article
(This article belongs to the Special Issue Functional Differential Equations and Epidemiological Modelling)
20 pages, 3862 KiB  
Article
Investigation of the Stochastic Modeling of COVID-19 with Environmental Noise from the Analytical and Numerical Point of View
by Shah Hussain, Elissa Nadia Madi, Hasib Khan, Sina Etemad, Shahram Rezapour, Thanin Sitthiwirattham and Nichaphat Patanarapeelert
Mathematics 2021, 9(23), 3122; https://doi.org/10.3390/math9233122 - 3 Dec 2021
Cited by 27 | Viewed by 2865
Abstract
In this article, we propose a novel mathematical model for the spread of COVID-19 involving environmental white noise. The new stochastic model was studied for the existence and persistence of the disease, as well as the extinction of the disease. We noticed that [...] Read more.
In this article, we propose a novel mathematical model for the spread of COVID-19 involving environmental white noise. The new stochastic model was studied for the existence and persistence of the disease, as well as the extinction of the disease. We noticed that the existence and extinction of the disease are dependent on R0 (the reproduction number). Then, a numerical scheme was developed for the computational analysis of the model; with the existing values of the parameters in the literature, we obtained the related simulations, which gave us more realistic numerical data for the future prediction. The mentioned stochastic model was analyzed for different values of σ1,σ2 and β1,β2, and both the stochastic and the deterministic models were compared for the future prediction of the spread of COVID-19. Full article
(This article belongs to the Special Issue Functional Differential Equations and Epidemiological Modelling)
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13 pages, 378 KiB  
Article
Existence and Uniqueness of Nontrivial Periodic Solutions to a Discrete Switching Model
by Lijie Chang, Yantao Shi and Bo Zheng
Mathematics 2021, 9(19), 2377; https://doi.org/10.3390/math9192377 - 25 Sep 2021
Cited by 1 | Viewed by 1554
Abstract
To control the spread of mosquito-borne diseases, one goal of the World Mosquito Program’s Wolbachia release method is to replace wild vector mosquitoes with Wolbachia-infected ones, whose capability of transmitting diseases has been greatly reduced owing to the Wolbachia infection. In this [...] Read more.
To control the spread of mosquito-borne diseases, one goal of the World Mosquito Program’s Wolbachia release method is to replace wild vector mosquitoes with Wolbachia-infected ones, whose capability of transmitting diseases has been greatly reduced owing to the Wolbachia infection. In this paper, we propose a discrete switching model which characterizes a release strategy including an impulsive and periodic release, where Wolbachia-infected males are released with the release ratio α1 during the first N generations, and the release ratio is α2 from the (N+1)-th generation to the T-th generation. Sufficient conditions on the release ratios α1 and α2 are obtained to guarantee the existence and uniqueness of nontrivial periodic solutions to the discrete switching model. We aim to provide new methods to count the exact numbers of periodic solutions to discrete switching models. Full article
(This article belongs to the Special Issue Functional Differential Equations and Epidemiological Modelling)
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20 pages, 323 KiB  
Article
Traveling Waves Solutions for Delayed Temporally Discrete Non-Local Reaction-Diffusion Equation
by Hongpeng Guo and Zhiming Guo
Mathematics 2021, 9(16), 1999; https://doi.org/10.3390/math9161999 - 20 Aug 2021
Cited by 2 | Viewed by 1749
Abstract
This paper deals with the existence of traveling wave solutions to a delayed temporally discrete non-local reaction diffusion equation model, which has been derived recently for a single species with age structure. When the birth function satisfies monotonic condition, we obtained the traveling [...] Read more.
This paper deals with the existence of traveling wave solutions to a delayed temporally discrete non-local reaction diffusion equation model, which has been derived recently for a single species with age structure. When the birth function satisfies monotonic condition, we obtained the traveling wavefront by using upper and lower solution methods together with monotonic iteration techniques. Otherwise, without the monotonicity assumption for birth function, we constructed two auxiliary equations. By means of the traveling wavefronts of the auxiliary equations, using the Schauder’ fixed point theorem, we proved the existence of a traveling wave solution to the equation under consideration with speed c>c*, where c*>0 is some constant. We found that the delayed temporally discrete non-local reaction diffusion equation possesses the dynamical consistency with its time continuous counterpart at least in the sense of the existence of traveling wave solutions. Full article
(This article belongs to the Special Issue Functional Differential Equations and Epidemiological Modelling)
20 pages, 372 KiB  
Article
Existence Results for p1(x,·) and p2(x,·) Fractional Choquard–Kirchhoff Type Equations with Variable s(x,·)-Order
by Weichun Bu, Tianqing An, Guoju Ye and Chengwen Jiao
Mathematics 2021, 9(16), 1973; https://doi.org/10.3390/math9161973 - 18 Aug 2021
Cited by 2 | Viewed by 1731
Abstract
In this article, we study a class of Choquard–Kirchhoff type equations driven by the variable s(x,·)-order fractional p1(x,·) and p2(x,·)-Laplacian. Assuming some reasonable conditions [...] Read more.
In this article, we study a class of Choquard–Kirchhoff type equations driven by the variable s(x,·)-order fractional p1(x,·) and p2(x,·)-Laplacian. Assuming some reasonable conditions and with the help of variational methods, we reach a positive energy solution and a negative energy solution in an appropriate space of functions. The main difficulties and innovations are the Choquard nonlinearities and Kirchhoff functions with the presence of double Laplace operators involving two variable parameters. Full article
(This article belongs to the Special Issue Functional Differential Equations and Epidemiological Modelling)
20 pages, 2215 KiB  
Article
Three Solutions for a Partial Discrete Dirichlet Problem Involving the Mean Curvature Operator
by Shaohong Wang and Zhan Zhou
Mathematics 2021, 9(14), 1691; https://doi.org/10.3390/math9141691 - 19 Jul 2021
Cited by 2 | Viewed by 1865
Abstract
Partial difference equations have received more and more attention in recent years due to their extensive applications in diverse areas. In this paper, we consider a Dirichlet boundary value problem of the partial difference equation involving the mean curvature operator. By applying critical [...] Read more.
Partial difference equations have received more and more attention in recent years due to their extensive applications in diverse areas. In this paper, we consider a Dirichlet boundary value problem of the partial difference equation involving the mean curvature operator. By applying critical point theory, the existence of at least three solutions is obtained. Furthermore, under some appropriate assumptions on the nonlinearity, we respectively show that this problem admits at least two or three positive solutions by means of a strong maximum principle. Finally, we present two concrete examples and combine with images to illustrate our main results. Full article
(This article belongs to the Special Issue Functional Differential Equations and Epidemiological Modelling)
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19 pages, 324 KiB  
Article
Solving a System of Nonlinear Integral Equations via Common Fixed Point Theorems on Bicomplex Partial Metric Space
by Zhaohui Gu, Gunaseelan Mani, Arul Joseph Gnanaprakasam and Yongjin Li
Mathematics 2021, 9(14), 1584; https://doi.org/10.3390/math9141584 - 6 Jul 2021
Cited by 11 | Viewed by 1640
Abstract
In this paper, we introduce the notion of bicomplex partial metric space and prove some common fixed point theorems. The presented results generalize and expand some of the literature’s well-known results. An example and application on bicomplex partial metric space is given. Full article
(This article belongs to the Special Issue Functional Differential Equations and Epidemiological Modelling)
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