Research Topic · Peer-Reviewed

Mathematical Modelling

Mathematical modelling is the practice of representing a real-world system through mathematical structures, such as equations, dynamical systems, and stochastic processes, in order to analyze its behavior, test hypotheses, and predict outcomes under varying conditions. A model abstracts the essential variables and r…

Curated from this journal's research 📚 5 peer-reviewed articles cited Cited 108× across the literature 🗓 Reviewed August 2026

Overview

Mathematical modelling is the practice of representing a real-world system through mathematical structures, such as equations, dynamical systems, and stochastic processes, in order to analyze its behavior, test hypotheses, and predict outcomes under varying conditions. A model abstracts the essential variables and relationships of a phenomenon, is calibrated against observed data, and is then used to explore scenarios that would be difficult or impossible to study directly. In the biological and health sciences, compartmental models are widely used to describe how populations move between states over time. Epidemiological modelling of infectious diseases such as typhoid fever formalizes transmission dynamics and the timing of cases, then quantifies how interventions alter the trajectory of an outbreak. In population genetics, mathematical models capture mutational processes and the interactions between subpopulations, linking allele frequencies and selection to long-term evolutionary change. Related quantitative approaches support clinical and laboratory work, from interpreting variants of uncertain significance to designing measurement techniques such as non-invasive blood glucose sensing. Common to all applications is a disciplined cycle of formulation, parameter estimation, simulation, and validation, with sensitivity analysis used to judge which assumptions most influence conclusions and how reliably the model can guide decisions.

Research published in this journal

5 peer-reviewed articles, ranked by relevance. Each links to its DOI.

How this research is being cited

The 5 articles above have been cited 108 times in the scholarly literature. Citation data via OpenAlex and Crossref, updated Jun 2026.

A sample of recent works citing this journal's research on Mathematical Modelling, linking to each citing work.

Editorial oversight

Curated from peer-reviewed research published in International Journal of Hydrocarbons.

This page summarises published research for orientation; it is not medical or professional advice.