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Statistical Similarity of Mortality and Recovery Ratios for Covid-19 Patients based on Gender and Age

Abbas Mahmoudabadi

Abstract


Background: Studying the behavior of patients infected to Covid-19 is an essential issue for health authorities during the global pandemic, so the aim of this study is to investigate the statistical similarity between the recovery and mortality ratios based on the patients’ age and gender. To this purpose, the well-known statistical testing method of Kolmogorov-Smirnov has been utilized to investigate the similarity of distribution functions for mortality and recovery rates for patients infected to Covid-19. Results: Data for 1015 patients resulted in dead, recovery, and transferred have been collected and analyzed. The age is cross-classified by gender where the rates’ cumulative distribution functions are independently calculated and depicted for females and males. The results revealed there is no significant difference between the distribution functions of mortality and recovery rates by gender but there is by age. Conclusion: The research results would support the health authorities to manage the admission and discharging procedures of the Covid-19 patients where the hospitality services are traditionally provided differently by gender.

 

Doi: 10.28991/HIJ-2021-02-04-05

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Keywords


Covid-19; Distribution Function; Statistical Similarity; Mortality and Recovery Rate.

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DOI: 10.28991/HIJ-2021-02-04-05

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