Sociodemographic factors associated with Covid-19 in Canada

S. Mathew, Shadi Zain
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Abstract

BACKGROUND: Coronavirus disease or Covid-19 has caused more than 30 million documented infections and 1 million deaths worldwide as of Oct 2020. It was shown that several sociodemographic factors play a significant role in shaping the Covid-19 outcome and associated death rates across the globe. Thus the present study aims to study the sociodemographic parameters associated with the Covid-19 cases in Canada. MATERIAL AND METHODS: In this retrospective study, the data was collected from the Official data repository present in Canada. The patients' data were evaluated and sociodemographic parameters were checked and recorded. After the data was recorded they are categorized based on the different states and statistical analysis was done. RESULT:The present study reported that in Canada total cases as reported in the repository are 1,253,519 cases. This result indicates that maximum of the patients suffering from Covid-19 belonged to the younger age category. Compared to the males, females were more to suffer from Covid-19. Most of the patients who required hospitalization were in the 80+ year age group (28.5%). Only 1.7% of patients in the age group below 19 years are required to be hospitalized. The regional data variation showed that in Alberta female patients were more in all the age groups compared with the male patients. Saskatchewan also reported a higher number of death cases in older people. In Manitoba, in the younger age category (0-29 years) less number of female patients suffered Covid-19. Interestingly, this number reversed as the age group increased. In Ontario, 72.1% of people reported being admitted to ICU and required a ventilator. In British Columbia, the gender distribution showed no such difference among all the Covid-19 positive cases. In Quebec among the covid-19 positive cases, 47.2% were male and 52.8% were females. CONCLUSION: Age is a significant predictor of Covid-19 mortality and patients from both genders aged more than 75 years and more need to provide more care and increased medical supervision to decrease the Covid-19 casualty.
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加拿大与Covid-19相关的社会人口因素
背景:截至2020年10月,冠状病毒病或Covid-19已在全球造成3000多万例有记录的感染和100万人死亡。研究表明,几个社会人口因素在影响全球Covid-19结果和相关死亡率方面发挥了重要作用。因此,本研究旨在研究与加拿大Covid-19病例相关的社会人口学参数。材料和方法:在这项回顾性研究中,数据收集自加拿大官方数据存储库。对患者的资料进行评估,并检查和记录社会人口学参数。数据记录后,根据不同的状态进行分类,并进行统计分析。结果:本研究报告在加拿大报告的病例总数为1,253,519例。这一结果表明,新冠肺炎患者以低龄患者居多。与男性相比,女性更容易感染新冠病毒。需住院的患者以80岁以上年龄组居多(28.5%)。在19岁以下年龄组中,只有1.7%的患者需要住院。区域数据差异表明,艾伯塔省各年龄组女性患者均多于男性患者。萨斯喀彻温省还报告了老年人死亡人数较多的情况。在马尼托巴省,在较年轻的年龄组(0-29岁)中,女性患者感染Covid-19的人数较少。有趣的是,随着年龄的增长,这个数字反过来了。在安大略省,72.1%的人报告被送入重症监护室,需要呼吸机。在不列颠哥伦比亚省,所有Covid-19阳性病例的性别分布没有这种差异。在魁北克,新冠肺炎阳性病例中,男性占47.2%,女性占52.8%。结论:年龄是Covid-19死亡率的重要预测因素,75岁以上的男女患者都需要提供更多的护理和加强医疗监督,以减少Covid-19的伤亡。
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