Running wave analysis of pandemic dynamics: a mathematical model.

This paper examines pandemic dynamics using running-wave-based tools and mathematical models. By extending the classic SIR (Susceptible-Infected-Removed) model to include spatial dependence, we explore how disease waves spread across a population. Through mathematical analysis and inference, we derive equations for the wave velocity and assess the severity of epidemics. Our findings emphasise the crucial role of reducing the contact factor in slowing the spread of a disease and minimising its consequences. The study highlights the power of mathematical modelling in understanding and responding to pandemics, suggesting insights into effective intervention strategies.