Current Volume 9
Abstract
Infectious diseases are part of human history, shaping societies, economies, and daily life. From seasonal influenza to global pandemics such as COVID‑19, predicting how diseases spread and how interventions work is critical. Mathematical tools, particularly differential equations, allow us to observe the underlying dynamics of epidemics: the flow of people between susceptible, infected, and recovered states. This paper explores the application of differential equations in epidemic modeling, discusses classical models like SIR and SEIR, examines real-world examples, and highlights how these models guide public health strategies. The paper also addresses challenges and outlines directions for future research, emphasizing the importance of mathematical modeling in understanding and managing epidemics.
Keywords
Epidemic Modeling, Differential Equations, SIR Model, SEIR Model, Disease Dynamics, Public Health, Infectious Disease Prediction, Mathematical Epidemiology
Citations
IRE Journals:
Lavkush Pandey "Understanding Epidemics: How Differential Equations Help Us Fight Disease" Iconic Research And Engineering Journals Volume 9 Issue 11 2026 Page 5166-5170 https://doi.org/10.64388/IREV9I11-1718658
IEEE:
Lavkush Pandey
"Understanding Epidemics: How Differential Equations Help Us Fight Disease" Iconic Research And Engineering Journals, 9(11) https://doi.org/10.64388/IREV9I11-1718658
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