Skip to main content

Biomathematical Modelling and Stochastic Analysis

Edited by:
Weiming Wang, PhD, Huaiyin Normal University, PR China
Zhihang Peng, PhD, Chinese Center for Disease Control and Prevention, PR China
Kai Wang, PhD, Xinjiang Medical University, PR China

Raluca Eftimie, PhD, University of Franche-Comté, France

Prof Pierre Magal was initially invited to Co-Edit this Special Issue. Unfortunately this is not possible anymore, as the academic world has lost a great researcher expert in this field and a  good friend. Thus, we decided to dedicate this Special Issue to Prof. Pierre Magal, to celebrate his long-lasting impact on this field. 

Submission Status: Open   |   Submission Deadline: 31 December 2024

Advances in Continuous and Discrete Models is calling for submissions to our Collection on Biomathematical Modelling and Stochastic Analysis. This collection focuses on biomathematical modeling and its associated analysis for interacting populations and significant epidemic diseases.

About the Collection

Modern biomathematics increasingly relies on mathematical models and theories to unravel patterns stemming from the intricate interactions occurring across various spatial, temporal, and hierarchical scales within biological systems. This necessity arises as a means to comprehend the complexities associated with the operation of biological systems and the spread of diseases. Diverse modeling approaches are employed to construct appropriate models. Examples of modeling approaches such as ordinary differential equation models, partial differential equation models, delay differential equation models, stochastic differential equation models, difference equation models, and non-autonomous models prove valuable. These approaches have the capability to offer practical strategies for the coexistence and conservation of endangered species, prevention of over-exploitation of natural resources, control of disease outbreaks, formulation of optimal dosing policies for drug administration, and more.

This thematic series focuses on biomathematical modeling and its associated analysis for interacting populations and significant epidemic diseases. We aim to provide a platform for the discussion of the major research challenges, appropriate methodologies, and recent achievements in the said directions. Appropriate mathematical models that offer fresh perspectives, meaningful model analyses, and validation through numerical simulations are highly appreciated. Potential topics include, but are not limited to:

  • Nonlinear dynamic models of species interactions
  • Nonlinear epidemic models and control of infectious diseases
  • Spatio-temporal pattern formation in biomathematical models
  • Stochastic biomathematical models
  • Delay biomathematical models
  • Non-autonomous biomathematical models
  • Difference biomathematical models
  • Numerical methods in biomathematical models and stochastic computing
  1. Industrial development has made air pollution increasingly severe, and many respiratory diseases are closely related to air quality in terms of infection and transmission. In this work, we used the classic sto...

    Authors: Sha He, Yiping Tan and Weiming Wang
    Citation: Advances in Continuous and Discrete Models 2024 2024:16

Submission Guidelines

Back to top

This Collection welcomes submission of Research articles and Reviews. Should you wish to submit a different article type, please read our submission guidelines to confirm that type is accepted by the journal. 

Articles for this Collection should be submitted via our submission system, Editorial Manager. Please select the appropriate Collection title “Biomathematical Modelling and Stochastic Analysis" from the dropdown menu.

Articles will undergo the journal’s standard peer-review process and are subject to all the journal’s standard policies. Articles will be added to the Collection as they are published.

The Editors have no competing interests with the submissions which they handle through the peer-review process. The peer-review of any submissions for which the Editors have competing interests is handled by another Editorial Board Member who has no competing interests.