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

Autor: Malik Khizar Hayat, Rabeeh Ayaz Abbasi, Xiuzhen Jenny Zhang, Ali Daud, Tehmina Amjad
Rok vydání: 2020
Předmět:
DOI: 10.20944/preprints202008.0458.v1
Popis: 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.
Databáze: OpenAIRE