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Deadline for Submissions: 15 January 2024 |
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Special Issue Editors |
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Guest Editor |
Prof. Dr. Yongjin Li |
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Affiliation |
School of Mathematics, Sun Yat-Sen University, Guangzhou, China |
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Interests |
functional analysis; functional differential equations; ordinary differential equation; fuzzy logic |
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co-Guest Editor |
Dr. Anwarud Din |
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Affiliation |
School of Mathematics, Sun Yat-Sen University, Guangzhou, China |
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Interests |
dynamical systems; mathematical biology; deterministic and stochastic modeling; fractional differential equation |
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Special Issue Information |
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For public health, mathematical modelling of infectious diseases and the mitigating effects of human-implemented policies is critical. Many existing and newly emerging diseases continue to have an impact on the community, causing infections and fatalities. Mathematical and statistical models are excellent tools for studying and predicting the complicated behavior of infectious illnesses. Furthermore, potential controls can be measured in accordance with biological or clinical recommendations, allowing for the identification of the most cost-effective controls to utilize in the fight against these diseases. Infectious diseases are the major causes of death in humans, and they are caused by organisms such as fungi, bacteria, viruses, or parasites. Researchers and health officials are always attempting to slow the development of sickness and prevent it from spreading throughout the community, but there are still many diseases that require further research to slow their spread. Models in the form of mathematical equations or statistical models are commonly employed to explore infectious diseases from a mathematical standpoint. Researchers have discovered unique ways for creating infectious disease models using differential or difference equations in recent decades. Ordinary differential equations, partial differential equations (age-structured models, etc.), stochastic differential equations, and/or delay differential equations are commonly used by researchers to explore and assess disease models. In addition, fractional derivatives, fractal–fractional operators, and other techniques have been used to investigate infectious illness models.
The major goal of this Special Issue is to model and assess a variety of complicated infectious disease models in order to make effective recommendations for controlling and, hopefully, eliminating them. It will also include articles aimed at developing new algorithms or strategies for solving differential equation models. We would like to welcome writers to submit innovative and novel research papers on the modelling and simulation of infectious diseases to this Special Issue.
We invite the submission of high-quality papers related to one or more of the following topics: 1-Modeling and Analysis of Epidemic Problems using Ordinary and Partial Differential Equations 2-Modeling with Deterministic and Stochastic Differential Equations 3-The Application of Optimal Control Theory 4-Review Performance of Mathematical Models with Delay Equations and Functional Application 5-Theoretical, Computational, and Realistic Nature of Infectious Disease's Models 6-Review of Effect of New Fractal Differential and Integral Operators for Modelling Infectious Diseases 7-Chaos theory for Biological Problems with Functional Application 8-Modeling with Fractal Derivatives 9-Modeling the disease with Fuzzy Differential Equations.
Manuscripts could be submitted via our online system: https://ojs.wiserpub.com/index.php/CM/about/submissions. Please indicate that your manuscript is submitted to the special issue "Differential Equations: Theories, Methods and Modern Applications" in the coverletter.
For any queries, please feel free to contact the CM Editorial Office (cm@wiserpub.com).
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Published Papers |
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This special issue is now open for submission. |
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