Polynomial Regression Modeling of COVID-19 Cases
School Name
Wilson Hall
Grade Level
11th Grade
Presentation Topic
Mathematics
Presentation Type
Mentored
Abstract
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.
Recommended Citation
Judge, Sunishtha, "Polynomial Regression Modeling of COVID-19 Cases" (2025). South Carolina Junior Academy of Science. 123.
https://scholarexchange.furman.edu/scjas/2025/all/123
Location
PENNY 203
Start Date
4-5-2025 9:30 AM
Presentation Format
Oral and Written
Group Project
No
Polynomial Regression Modeling of COVID-19 Cases
PENNY 203
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.
