With coronavirus becoming an increasing global concern each day, it is obvious that we must understand what is truly happening. Using curve fitting techniques such as Fourier series, cubic splines and least squares approximation, an accurate model can be made to fit the data. Analyzing and comparing the three approaches, the best method to fit these data can be seen. We will also compare the fitting curve methods with the solution of the logistic model solution. Editor's note: This paper was presented in April 2020, relying only on data and understandings about COVID-19 available then.
Sponsored by Ahmad Almomani
"Curve Fitting Techniques for Predicting Corona Virus Cases,"
Proceedings of GREAT Day: Vol. 2020
, Article 1.
Available at: https://knightscholar.geneseo.edu/proceedings-of-great-day/vol2020/iss1/1