Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

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

Version 1 : Received: 15 August 2020 / Approved: 20 August 2020 / Online: 20 August 2020 (13:02:06 CEST)

How to cite: Hayat, M.K.; Daud, A.; Abbasi, R.A.; Amjad, T.; Zhang, X.J. Coronavirus Disease (COVID-19) Dynamics: Age and Gender-based Analysis of Surveillance Variables. Preprints 2020, 2020080458 (doi: 10.20944/preprints202008.0458.v1). Hayat, M.K.; Daud, A.; Abbasi, R.A.; Amjad, T.; Zhang, X.J. Coronavirus Disease (COVID-19) Dynamics: Age and Gender-based Analysis of Surveillance Variables. Preprints 2020, 2020080458 (doi: 10.20944/preprints202008.0458.v1).

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.

Subject Areas

Coronavirus disease (COVID-19); Correlation and analysis; Age and Gender; Hospitalization; Tests performed; Recovery

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