Statistical Analysis of Kansas City COVID-19 Data with Respect to Race, Ethnicity, Age & Gender

Abstract

COVID-19 is a respiratory tract infection that has created a deadly pandemic dominating the world. This statistical analysis identifies the prevalence of confirmed COVID-19 cases in Kansas City by various demographics such as age, race, gender, and ethnicity. The main objective of this study was to determine if COVID-19 disproportionately impacted certain minority communities. We analyzed raw data of confirmed COVID-19 cases from March 2020 to October 2020, and we studied the frequency, proportion, and prevalence of COVID-19 cases in Kansas City, Missouri. Individuals between the ages of 20-29 years had the highest frequency of COVID-19 cases in the White population. Our ethnicity analysis showed that the average age of COVID positive Hispanic/Latino individuals is significantly lower than both African American and White individuals. Hispanic/Latino individuals also had the highest prevalence of COVID-19 positive cases than both White and African American individuals in Kansas City. Moreover, by using ANOVA testing, we found that females had a significantly higher prevalence in COVID positive cases and mortality than men. In conclusion, we observed that COVID-19 has impacted individuals who are Hispanic/Latino, female, or between the ages of 20-29 more than other groups.