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Article

Coronavirus Disease (COVID-19) Dynamics: Age and Gender-based Analysis of Surveillance Variables

Submitted:

15 August 2020

Posted:

20 August 2020

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Abstract
COVID-19 emerged in Wuhan and is later declared as a pandemic by World Health Organization. Different-aged people have varying gender-wise immunity control properties that necessitates understanding COVID-19 impact on age and gender which does not exist, currently. In this paper, COVID-19 surveillance variables are extensively studied along with hospitalization, tests-performed, and recovery data. Dataset is curated from three sources; however, age and gender data belong to Belgium, particularly. Visualizations, frequencies, Pearson’s and polyserial correlation, student’s t-test, and Cramer’s V are used for enhanced analysis. Results show higher mortality rate in males and need of more ventilators to combat severe symptoms.
Keywords: 
Coronavirus disease (COVID-19); Correlation and analysis; Age and Gender; Hospitalization; Tests performed; Recovery
Subject: 
Computer Science and Mathematics  -   Analysis
Copyright: This open access article is published under a Creative Commons CC BY 4.0 license, which permit the free download, distribution, and reuse, provided that the author and preprint are cited in any reuse.

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