Special Issue: Mechanistic and data-integrated modeling in ecology and health

Guest Editors

Prof. Angela Peace
Department of Mathematics and Statistics, Texas Tech University, USA
Email: A.Peace@ttu.edu


Prof. Rebecca Everett
Department of Mathematics and Statistics, Haverford College, USA
Email: reverett@haverford.edu


Dr. Tin Thien Phan
Theoretical Biology and Biophysics, Los Alamos National Laboratory, USA
Email: ttphan@lanl.gov


Prof. Hao Wang
Department of Mathematical and Statistical Sciences, University of Alberta, Edmonton, Canada
Email: hao8@ualberta.ca

Manuscript Topics


This special issue celebrating the 60th birthday of Prof. Yang Kuang (Arizona State University) highlights advances in mathematical approaches across biological systems. Modern challenges in mathematical biology require innovative approaches for developing biologically relevant models that reflect real-world phenomena. The incorporation of mechanistic and/or data-integrated methods aims to capture complex biological processes with mathematical frameworks. This collection showcases a variety of studies spanning diverse ecological and disease systems that leverage data and focus on understating underlying biological processes and mechanism governing systems.


Instructions for authors
https://www.aimspress.com/mbe/news/solo-detail/instructionsforauthors
Please submit your manuscript to online submission system
https://aimspress.jams.pub/

Paper Submission

All manuscripts will be peer-reviewed before their acceptance for publication. The deadline for manuscript submission is 28 February 2026

Published Papers({{count}})

Special Issue Topical Section Recurring Topics Special Issue
{{author.authorNameEn}}
{{article.year}}, Volume {{article.volume}}, Issue {{article.issue}}: {{article.fpage | processPage:article.lpage:6}}. doi: {{article.doi}}
{{article.articleStateNameEn}}Available online{{article.preferredDate | date:'yyyy-MM-dd'}} doi: {{article.doi}}
Abstract Abstract HTML HTML PDF Cited ({{article.citedByCount}}) Viewed ({{article.visitArticleCount}})