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. Preprints2020, 2020080458. https://doi.org/10.20944/preprints202008.0458.v1
APA Style
Hayat, M.K., Daud, A., Abbasi, R.A., Amjad, T., & Zhang, X.J. (2020). Coronavirus Disease (COVID-19) Dynamics: Age and Gender-based Analysis of Surveillance Variables. Preprints. https://doi.org/10.20944/preprints202008.0458.v1
Chicago/Turabian Style
Hayat, M.K., Tehmina Amjad and Xiuzhen Jenny Zhang. 2020 "Coronavirus Disease (COVID-19) Dynamics: Age and Gender-based Analysis of Surveillance Variables" Preprints. https://doi.org/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.
Keywords
Coronavirus disease (COVID-19); Correlation and analysis; Age and Gender; Hospitalization; Tests performed; Recovery
Subject
Computer Science and Mathematics, Analysis
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
