𝗠𝗮𝘁𝗵𝗲𝗺𝗮𝘁𝗶𝗰𝗮𝗹 𝗔𝗽𝗽𝗿𝗼𝗮𝗰𝗵𝗲𝘀 𝗶𝗻 𝗣𝗼𝗽𝘂𝗹𝗮𝘁𝗶𝗼𝗻 𝗗𝘆𝗻𝗮𝗺𝗶𝗰𝘀 𝗮𝗻𝗱 𝗗𝗲𝗺𝗼𝗴𝗿𝗮𝗽𝗵𝗶𝗰 𝗦𝘆𝘀𝘁𝗲𝗺𝘀

𝗖𝗔𝗟𝗟 𝗙𝗢𝗥 𝗣𝗔𝗣𝗘𝗥𝗦

𝗠𝗮𝘁𝗵𝗲𝗺𝗮𝘁𝗶𝗰𝗮𝗹 𝗔𝗽𝗽𝗿𝗼𝗮𝗰𝗵𝗲𝘀 𝗶𝗻 𝗣𝗼𝗽𝘂𝗹𝗮𝘁𝗶𝗼𝗻 𝗗𝘆𝗻𝗮𝗺𝗶𝗰𝘀 𝗮𝗻𝗱 𝗗𝗲𝗺𝗼𝗴𝗿𝗮𝗽𝗵𝗶𝗰 𝗦𝘆𝘀𝘁𝗲𝗺𝘀

𝗝𝗼𝘂𝗿𝗻𝗮𝗹:
Mathematical Population Studies

𝗣𝘂𝗯𝗹𝗶𝘀𝗵𝗲𝗿:
Taylor & Francis Group

𝗠𝗮𝗻𝘂𝘀𝗰𝗿𝗶𝗽𝘁 𝗗𝗲𝗮𝗱𝗹𝗶𝗻𝗲:
30 November 2026

𝗔𝗯𝗼𝘂𝘁 𝘁𝗵𝗲 𝗦𝗽𝗲𝗰𝗶𝗮𝗹 𝗜𝘀𝘀𝘂𝗲

Population systems emerge from complex interactions among fertility, mortality, migration, population growth, and a range of environmental, social, and biological factors. Understanding these interconnected processes requires sophisticated mathematical and statistical methods capable of describing population structures and explaining the mechanisms driving demographic change.

Mathematical population studies employ diverse analytical approaches, including differential equation models, stochastic processes, statistical inference, and numerical methods to investigate population behaviour across time and space. These approaches contribute significantly to understanding demographic transitions, epidemiological processes, ecological systems, and the socio-economic determinants of population change.

This Special Issue seeks contributions that advance the mathematical and statistical study of population systems through theoretical developments, methodological innovations, and empirical applications. Interdisciplinary research spanning mathematics, demography, statistics, economics, sociology, biology, epidemiology, geography, and related disciplines is particularly encouraged.

𝗧𝗼𝗽𝗶𝗰𝘀 𝗼𝗳 𝗜𝗻𝘁𝗲𝗿𝗲𝘀𝘁

Submissions may address, but are not limited to:

• Mathematical models of population growth, fertility, mortality, and migration
• Statistical and mathematical methods in demographic analysis
• Nonlinear, fractional, and delay differential equation models in population dynamics
• Mathematical models of epidemiological and disease transmission systems
• Age-structured and spatial population models
• Stochastic models in population and epidemiological studies
• Mathematical approaches in population forecasting and modelling
• Data-driven and statistical approaches to demographic forecasting
• Mathematical modelling of ecological population systems
• Population models incorporating environmental and socio-economic factors
• Mathematical and statistical analyses of demographic processes
• Interdisciplinary applications of population models in public health, ecology, economics, and social sciences

𝗪𝗵𝘆 𝗧𝗵𝗶𝘀 𝗦𝗽𝗲𝗰𝗶𝗮𝗹 𝗜𝘀𝘀𝘂𝗲 𝗠𝗮𝘁𝘁𝗲𝗿𝘀

As populations continue to evolve under the influence of demographic transitions, public health challenges, environmental change, and socio-economic transformations, there is an increasing need for robust mathematical frameworks that can accurately model and predict population dynamics.

This Special Issue provides an interdisciplinary platform for researchers to present innovative mathematical and statistical methodologies that deepen understanding of population systems and inform evidence-based decision-making in public policy, healthcare, environmental management, and socio-economic planning.

𝗚𝘂𝗲𝘀𝘁 𝗘𝗱𝗶𝘁𝗼𝗿𝘀

Dr. Morufu Oyedunsi Olayiwola
Department of Mathematical Sciences, Faculty of Science, Osun State University, Nigeria
Email: olayiwola.oyedunsi@outlook.com

Dr. Mostafa Tahiri
Department of Mathematics, AMNEA Group, Faculty of Sciences and Technology Errachidia, Moulay Ismaïl University of Meknes, Morocco
Email: m.tahiri@umi.ac.ma

Dr. Akeem Olarewaju Yunus
Department of Mathematical Sciences, Faculty of Basic and Applied Sciences, Osun State University, Osogbo, Nigeria
Email: akeem.yunus@uniosun.edu.ng

𝗦𝘂𝗯𝗺𝗶𝘀𝘀𝗶𝗼𝗻 𝗚𝘂𝗶𝗱𝗲𝗹𝗶𝗻𝗲𝘀

• Interested authors should submit an abstract to the Guest Editors by 30 November 2026.
• Authors of selected abstracts will subsequently be invited to submit full manuscripts.
• Manuscripts should be submitted through ScholarOne by selecting the appropriate Special Issue title during the submission process.
• Submissions should include the following components in order: title page, abstract, keywords, introduction, materials and methods, results, discussion, acknowledgements, declaration of interest statement, references, appendices (if applicable), tables, figures, and figure captions.
• Manuscripts should contain an unstructured abstract of up to 200 words.

𝗔𝗯𝗼𝘂𝘁 𝘁𝗵𝗲 𝗝𝗼𝘂𝗿𝗻𝗮𝗹

Mathematical Population Studies is an international peer-reviewed journal dedicated to advancing research on mathematical and statistical approaches to population processes. The journal publishes theoretical, methodological, and applied studies that contribute to understanding demographic systems, population dynamics, epidemiology, ecology, and interdisciplinary applications of mathematical modelling.

𝗣𝗼𝘀𝘁𝗲𝗱 𝗼𝗻 𝗦𝗲𝗿𝘃𝗶𝗰𝗲𝗦𝗲𝘁𝘂 𝗔𝗰𝗮𝗱𝗲𝗺𝗶𝗰𝘀 — 𝗣𝗿𝗲𝗺𝗶𝗲𝗿 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺 𝗳𝗼𝗿 𝗔𝗰𝗮𝗱𝗲𝗺𝗶𝗰 𝗢𝗽𝗽𝗼𝗿𝘁𝘂𝗻𝗶𝘁𝗶𝗲𝘀 & 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗖𝗼𝗹𝗹𝗮𝗯𝗼𝗿𝗮𝘁𝗶𝗼𝗻

Visit official website of the publisher