Aims & Scope

The Journal of Mathematical Epidemiology (JOME) is an international journal that features scientific, innovative original research and reviews on topics at the intersection of mathematics and biology. JOME focuses on the mathematical modeling and analysis of various biological processes, especially epidemic diseases. It also includes studies related to ordinary differential equations, partial differential equations and difference equations that can potentially contribute to the field of mathematical biology. By covering both theoretical and applied studies, JOME aims to address real-world problems and make predictions about their future course. JOME provides a valuable resource for researchers and academics working in this field, helping them understand epidemiological processes mathematically and transform this knowledge into practical outcomes.

JOME aims to provide a rich platform for scientific knowledge sharing by bringing together researchers from mathematics, biology, engineering, medicine, and other related disciplines. By integrating perspectives from different fields, it allows for the in-depth examination and expansion of mathematical and biological research. JOME offers a comprehensive and interdisciplinary source of knowledge for scientists and practitioners aiming to understand the dynamics of biological processes better, develop new methodologies, and contribute to public health policies.

The scope of JOME covers a wide range of biological topics, including cell and development biology, physiology, neurobiology, genetics and population genetics, genomics, ecology, behavioral biology, evolution, epidemiology, immunology, molecular and structural biology, biofluids, oncology, biostatistics, bioinformatics, bioengineering, epidemic diseases, renewable biological resources, systems biology, microbiome, biomechanics, and medicine. Mathematical topics include dynamical systems, linear and nonlinear differential equations, linear and nonlinear difference equations, deterministic and stochastic modeling, optimization theory, control theory, and stability theory.

All submissions are considered by the editorial board, and all published papers are peer-reviewed.

Proposals for special issues are welcome; please contact the Editor-in-Chief directly.