Functional Data Analysis of COVID-19

Author

Nichole L. FlukeFollow

Publication Date

Winter 11-9-2022

Abstract

This thesis deals with Functional Data Analysis (FDA) on COVID data. The Data involves counts for new COVID cases, hospitalized COVID patients, and new COVID deaths. The data used is for all the states and regions in the United States. The data starts in March 1^st, 2020 and goes through March 31^st, 2021. The FDA smooths the data and looks to see if there are similarities or differences between the states and regions in the data. The data also shows which states and regions stand out from the others and which ones are similar. Also shown is which seasons are the best or worst for COVID-19. The data mainly focuses on finding if the regions and states are the same or different for new COVID cases, hospitalized COVID patients, and new COVID deaths.

Degree Name

Statistics

Level of Degree

Masters

Department Name

Mathematics & Statistics

First Committee Member (Chair)

James Degnan

Second Committee Member

Helen Wearing

Third Committee Member

Brent Wagner

Language

English

Keywords

Functional Data Analysis, COVID-19, and Statistics

Document Type

Thesis

Recommended Citation

Fluke, Nichole L.. "Functional Data Analysis of COVID-19." (2022). https://digitalrepository.unm.edu/math_etds/192