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For the past couple years, the Coronavirus, commonly known as COVID-19, hassignificantly affected the daily lives of all citizens residing in the UnitedStates by imposing several, fatal health risks that cannot go unnoticed. Inresponse to the growing fear and danger COVID-19 inflicts upon societies in theUSA, several vaccines and boosters have been created as a permanent remedy forindividuals to take advantage of. In this paper, we investigate therelationship between the COVID-19 vaccines and boosters and the total casecount for the Coronavirus across multiple states in the USA. Additionally, thispaper discusses the relationship between several, selected underlying healthconditions with COVID-19. To discuss these relationships effectively, thispaper will utilize statistical tests and machine learning methods for analysisand discussion purposes. Furthermore, this paper reflects upon conclusions madeabout the relationship between educational attainment, race, and COVID-19 andthe possible connections that can be established with underlying healthconditions, vaccination rates, and COVID-19 total case and death counts.

A machine learning analysis of the relationship between some underlying medical conditions and COVID-19 susceptibility