We use cookies to improve your website experience. To learn about our use of cookies and how you can manage your cookie settings, please see our Cookie Policy. By closing this message, you are consenting to our use of cookies.

Submit a Manuscript to the Journal
Arab Journal of Basic and Applied Sciences

For a Special Issue on
Mathematical Analysis and Modelling for Infectious Diseases

Manuscript deadline
13 February 2023

Cover image - Arab Journal of Basic and Applied Sciences

Special Issue Editor(s)

Dr. Sunil Kumar, Department of Mathematics, National Institute of Technology, Jamshedpur-831014 Jharkhand India
[email protected]

Prof. Dumitru Baleanu, Department of Mathematics and Computer Sciences, Faculty of Arts and Sciences, Cankaya University, Ankara, 06530, Turkey
du[email protected]

Prof. Juan J. Nieto, CITMAga, University of Santiago de Compostela, 15782 Spain
[email protected]

Submit an ArticleVisit JournalArticles

Mathematical Analysis and Modelling for Infectious Diseases

The study of infectious and deadly diseases from an epidemiological perspective is a very popular and growing research area nowadays. It includes the study of host/parasite interactions at both the population and community levels, as well as human and wildlife diseases. An eco-epidemiology is a relatively new and very hot branch of applied mathematics that combines the study of ecology and epidemiology. Ecological, epidemiological and eco-epidemiological mathematical modeling is an expanding research area of applied analysis. The study of epidemiology examines the development, progression and treatment of illnesses as well as other factors affecting health. Ecological epidemiology describes some complex phenomena in the real ecosystem by combining species interactions with epidemiology. It is important to note that mathematical ecology and mathematical epidemiology are separate fields of study within biology. Eco-epidemiology analyzes the effects of transmissible diseases. Ecology also deals with the complex interaction between predators and prey. A further level of complexity is added by their prevalence of various infectious diseases. The study of ecology and epidemiology is one of the most important subfields of epidemiology. For developing avoidance and adjustment plan of action for turndown the negative health issues of changing ecosystems, we need new conceptual and analytical tools in the context of global change. Disease outbreaks and infection mechanisms can be predicted using epidemic modeling. Throughout the world, the threat of infectious diseases is growing, increasing the need for models depicting their transmission. Epidemiological models are largely composed by first-order ordinary differential equations, and a variety of qualitative and quantitative techniques have been developed to study their dynamic behaviour. Recent studies have shown that mathematical modeling is very useful in analyzing, understanding, and controlling infectious diseases. Cancer is one of the leading causes of mortality. Therefore, understanding the mechanism of cancer progression is necessary for its diagnosis and treatment.  New epidemics will appear and models and strategies to fight them will be necessary.

This special issue is largely concentrated to address an extensive range of the theory and applications of non- integer-order derivatives and integrals in various directions of mathematical modelling on infectious diseases epidemiology. We invite authors to contribute original research articles for the special issue "Mathematical Analysis and Modelling for Infectious Diseases" in the following potential topics that include, but are not limited to:

  • Classical compartmental models
  • Theoretical, computational, and experimental results on diseases models
  • Dynamical and chaos study for Epidemiology
  • Wavelet methods for modelling on Infectious Diseases
  • Diffusion models
  • Optimal control of disease dynamics
  • Advanced analytical and numerical methods for epidemiological modelling
  • Optimal Control of HIV/AIDS infection
  • Tumor and Cancer Modelling
  • COVID-19
  • New and emerging epidemics
  • Fractional calculus and its application to Epidemiology
  • Artificial Intelligence and Machine Learning methods in Epidemiology
  • Tumor and Cancer Modelling
  • Digital Twins in epidemic processes

Submission Instructions

We invite authors to contribute original research articles for the special issue "Mathematical Analysis and Modelling for Infectious Diseases"

Instructions for AuthorsSubmit an Article

We use cookies to improve your website experience. To learn about our use of cookies and how you can manage your cookie settings, please see our Cookie Policy. By closing this message, you are consenting to our use of cookies.