Risk Factors Associated with COVID-19

ECSU Author/Contributor (non-ECSU co-authors, if there are any, appear on document)
Kevin Simmons, student (Creator)
Julian A. D. Allagan , Associate Professor (Contributor)
Elizabeth City State University (ECSU )
Web Site: https://www.ecsu.edu/academics/library/index.html

Abstract: COVID-19 is a viral disease that began impacting the world in the latter part of 2019. In early 2020, the world would be in a state of pandemic due to the rapid spread of the disease. Statistical analysis has been an extremely useful tool in determining the impact of COVID-19. Some discussion about the COVID-19 pandemic is based on how medical and non-medical factors can influence the severity of the infection of a person. A case study is conducted regarding cases that occurred in Wake County, North Carolina. The association between demographic factors (age, sex, and race) and both ICU admittance and death are investigated using the chi-square test of association and binary logistic regression. Age and race have some significant association with severe cases of COVID-19 while sex does not.

Additional Information

Language: English
Date: 2022
covid-19, viral disease, statistical analysis

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