Death probability analysis in the old aged population and smokers in India owing to COVID-19

P. Jamdade, Shrinivas G. Jamdade
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Abstract

OBJECTIVE: Research has shown that older people and smokers have a higher death probability from coronavirus disease 2019 (COVID-19). Thus, we investigated the effect of COVID-19 on death probability for individuals aged 65–70 years and smokers in India. MATERIALS AND METHODS: We did so using a differential learning (feed-backward) model. In the present study, we examined World Health Organization (WHO) declared COVID-19 data of India. We divided the patients into two groups accordingly: the population aged 65–70 years and female or male smokers. RESULTS: We observed that in the early stages of infection (up to 5 days), there was higher death probability in the older population; among smokers, it occurred in the middle period after infection (5–8 days). We estimated that the death probability among smokers was 1.905 times that of the older population. CONCLUSION: As Government of India, taking various initiatives to curb the spread of COVID-19, but these are not enough, so we suggest measures that should help to reduce COVID-19 infection in India.
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COVID-19导致印度老年人口和吸烟者死亡概率分析
目的:研究表明,老年人和吸烟者死于2019冠状病毒病(COVID-19)的概率更高。因此,我们调查了COVID-19对印度65-70岁人群和吸烟者死亡概率的影响。材料和方法:我们使用了差分学习(反馈)模型。在本研究中,我们检查了世界卫生组织(WHO)宣布的印度COVID-19数据。我们将患者分为两组:65-70岁人群和女性或男性吸烟者。结果:我们观察到,在感染早期(最多5天),老年人群的死亡概率较高;吸烟者多发生在感染后中期(5-8天)。我们估计吸烟者的死亡概率是老年人的1.905倍。结论:作为印度政府,采取了各种措施来遏制COVID-19的传播,但这些措施还不够,因此我们提出了有助于减少印度COVID-19感染的措施。
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