Utilizing Godunov's Method and Panel Data Analysis to Study Inflammation Dynamics
Autour(s)
- Li Ye
Abstract
Inflammation is a critical physiological response to injury or infection, yet chronic inflammation can lead to various diseases, including arthritis, cardiovascular diseases, and cancer. Understanding the dynamics of inflammation is essential for developing effective treatments. This article explores the application of Godunov's method, a high-resolution scheme for solving hyperbolic partial differential equations, to model the complex dynamics of inflammation. Additionally, panel data analysis is employed to investigate the impact of various factors on inflammation across different populations over time. A comprehensive literature review, detailed research methodology, results from the application of these models, and concluding insights are presented.