Biological attributes of age and gender variations in Indian COVID-19 cases: A retrospective data analysis.

ABSTRACT:

Background

The associated risk factors, co-morbid conditions and biological differences varying with gender and age might be the cause of higher COVID-19 infection and deaths among males and older persons. The objective of this study was to predict and specify the biological attributes of variation in age and gender-based on COVID-19 status (deceased/recovered).

Methods

In this retrospective study, the data was extracted from a recognised web-based portal. A total of 112,860 patients' record was filtered out and an additional 9131 records were separately analysed to examine age and gender relationship with patient's COVID-19 status (recovered/deceased). Chi-square, t-test, binary logistic regression, and longitudinal regression analysis were conducted.

Results

SUBMITTER: Kushwaha S 

PROVIDER: S-EPMC8159626 | biostudies-literature | 2021 Jul-Sep

REPOSITORIES: biostudies-literature