A Meta-Analysis Based Study on the Outcome of Age on Mortality Among the Covid-19 infected Railway Staffs of Sambalpur Division, Odisha, India

Abstract

Background: In December 2019 China declared that pneumonia caused by a novel coronavirus. The transmission of the virus from human to human causes a high rise in death rates around the globe. All though all age types can be infected with COVID-19, a person aged above 65 years showing more risks of growing serious illness, mostly due to increasing health conditions that are expected to come with ageing. Observing that older adults are at more risk for COVID related medical problem and mortality, the current study targeted the age-related effect on COVID-19 patients of Sambalpur Railway Staffs of Odisha. Objective: The present study focuses on the age-related effect on COVID-19 patients of Sambalpur Railway Staffs of Odisha. We performed a meta-analysis based on the clinical features of the Railway Staffs of Sambalpur division, Odisha. Methods: All investigations were carryout utilizing STATA 14.3 (StataCorp. 2009. Stata Statistical Software: Release 14. College Station, TX: StataCorp LP). A whole of 5732 employees was analyzed out of which 337 were found to be infected with COVID-19, among which, 323 (95.84%) were males and 14 (4.15%) were females. Results: The most noteworthy mortality was seen in patient’s ≥ 60-69 years of age. The age group had altogether big mortality contrasted with the immediate age group. The biggest expansion in mortality hazard was seen in patients with age 60-69 contrasted with 50-59. Conclusion: Notable heterogeneity (p < 0.001) was noticed and concluded the Funnel Plot. In our result, it was observed that the age group 30-39 had a significantly higher mortality rate.