MATHEMATICAL MODELING IN BIOLOGY: APPLICATIONS, CHALLENGES, AND PERSPECTIVES

Authors

  • Braler, L. Young Scientist in the Field of Biological Sciences, actively engaged in research on molecular biology

Keywords:

mathematical modeling, biology, population dynamics, epidemiology, systems biology, applied mathematics

Abstract

Mathematical modeling has become an indispensable tool in modern biology, providing a framework for understanding complex living systems that cannot be fully explained through observation alone. From population dynamics to epidemiology and molecular biology, mathematical models allow researchers to test hypotheses, predict outcomes, and design interventions. This article explores the role of mathematical modeling in biological sciences, focusing on its applications, methodological approaches, and educational significance in preparing future biologists for interdisciplinary research.

References

Murray, J. D. (2002). Mathematical Biology I: An Introduction. Springer.

Edelstein-Keshet, L. (2005). Mathematical Models in Biology. SIAM.

Nowak, M. A. (2006). Evolutionary Dynamics: Exploring the Equations of Life. Harvard University Press.

Alon, U. (2006). An Introduction to Systems Biology: Design Principles of Biological Circuits. Chapman & Hall/CRC.

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Published

2026-04-11

How to Cite

Braler, L. (2026). MATHEMATICAL MODELING IN BIOLOGY: APPLICATIONS, CHALLENGES, AND PERSPECTIVES. Ethiopian International Journal of Multidisciplinary Research, 13(4), 732–733. Retrieved from https://www.eijmr.org/index.php/eijmr/article/view/6044

Issue

Vol. 13 No. 4 (2026): Ethiopian International Journal of Multidisciplinary Research

Section

Articles