Leveraging Mathematical Modeling of Dengue Fever Odyssey R with Data Science

Dengue fever is a major global drain on healthcare resources; it continues to be an uncontrolled threat that kills countless people and costs enormous sums of money. In order to provide a more comprehensive mathematical model for dengue, this study proposes a hybrid framework that combines seasonal, environmental, and awareness elements into a compartmentalized model. To clarify complex interactions, network connections are added to the model. This novel model’s progressive development is described in great detail, with thorough answers provided at every turn. Thorough investigations prove the existence and uniqueness of the model, and bifurcation analyses reveal dynamic changes in states with different parameters. Sensitivity analysis is used to identify critical factors and highlight their significant impact. The work concludes with a brief synopsis, findings from the research, and an optimistic forecast for the next advancements. This study is a critical investigation at the intersection of epidemiology and mathematics, ready to guide well-thought-out initiatives for the prevention and management of dengue.