Polynomial Regression Modeling of COVID-19 Cases
COVID-19, caused by the novel coronavirus, had a widespread outbreak at the beginning of 2020. The pandemic undeniably affected our lives for more than two years. In this research project, we want to model COVID-19 data from one chosen state in the USA using a polynomial regression model. We did not actively consider mask requirements, vaccination, or other human-controlled factors in this project, although we noticed their effects on the epidemic trend. Towards the end of the COVID period, we want to predict the number of infected and deaths in a particular state using the mathematical model.
Publication Details
- Journal
- Furman University Scholar Exchange (Furman University)
- Published
- 2025-04-05
- Primary Topic
- Magnetic confinement fusion research
- Type
- article
- Field-Weighted Citation Impact
- 0.00