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Title

A comparison of disease burden and symptoms with age among CoVid-19 patients from data in a Florida clinic

 

Authors

1Andrew P Collins*, 1Chenan Andy Huang, 1Megan Ann Bernier, 1Naser Mubarak, 2Sami Hemaidan, 2Hadi Hemaidan, 1Ammar Hemaidan

 

Affiliation

1University of Central Florida College of Medicine Ringgold standard institution, 6850 Lake Nona Blvd Orlando, Orlando, Florida 32827 - 740, United States; 2University of Central Florida College of Medicine Ringgold standard institution, Orlando, Florida, USA

 

Email

Andrew P Collins - E-mail: andrewcollins@Knights.ucf.edu; *Corresponding author

 

Article Type

Research Article

 

Date

Received October 19, 2020; Revised October 22, 2020; Accepted October 22, 2020; Published January 31, 2021

 

Abstract

Our knowledge of the disease burden and symptoms with age in COVID-19 patients is limited. Therefore, it is of interest to document the clinical aspect of this association with respect to the disease. We used the data of 3363 patients enrolled with an urgent care clinic in Volusia county, Florida for this study. Data shows difference in age among COVID-19 antibody (Ab) - positive patients (48.3 years, 95% CI = 46.9, 49.7 years) and Ab-negative patients (46.1 years, 95% CI = 45.4, 46.8 years). However, disease burden by age is not significant on average. Nonetheless, COVID-19 positive patients between 40-69-years of age experienced the highest burden of disease and highest average number of symptoms. Thus, COVID-19 disease burden and number of symptoms experienced were highest among the 40-69-year-old patients. Those above the populations mean age of 46.4 years old were more likely to test positive for COVID-19.

 

Keywords

Disease burden, symptoms, age, CoVid-19 patients, data, Florida clinic, USA

 

Citation

Collins et al. Bioinformation 17(1): 1-10 (2021)

 

Edited by

P Kangueane

 

ISSN

0973-2063

 

Publisher

Biomedical Informatics

 

License

This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.