Mathematical modelling is the construction of formal quantitative representations of real-world systems, using equations, statistical relationships or simulations to describe, explain and predict their behaviour. In infectious-disease epidemiology, models translate assumptions about transmission, recovery and interv…
Mathematical modelling is the construction of formal quantitative representations of real-world systems, using equations, statistical relationships or simulations to describe, explain and predict their behaviour. In infectious-disease epidemiology, models translate assumptions about transmission, recovery and intervention into projections of how an outbreak will evolve, allowing the comparison of control strategies before they are implemented. Compartmental and related frameworks have been applied extensively to COVID-19 to predict epidemic spread and to evaluate the significance of prevention and control measures, and similar dynamic models address other communicable diseases such as typhoid fever, including the impact of interventions over time. Modelling also extends to genetic and population processes, for example genetic-mathematical treatments of mutational dynamics and of interacting populations, demonstrating the breadth of the approach beyond a single disease. The methodology depends on parameter estimation from data, sensitivity analysis and validation against observed outcomes, and it can incorporate stochastic effects and spatial structure. Across applications, mathematical modelling provides a disciplined way to reason about complex systems, quantify uncertainty and support decision-making, whether characterising the transmission dynamics of an epidemic wave or estimating processes in physical and environmental systems.
12 peer-reviewed articles, ranked by relevance. Each links to its DOI.
The 12 articles above have been cited 115 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 Modeling, linking to each citing work.