印度COVID-19造成的健康负担和过早死亡价值方面的性别和年龄组不平等

Chandan Kumar Swain , Himanshu Sekhar Rout
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引用次数: 1

摘要

背景早期的研究关注新冠肺炎的年龄组健康负担,而很少有研究关注新冠肺炎负担的性别分析。本研究根据性别和年龄估计了新冠肺炎过早死亡的健康负担和价值。方法本研究基于从印度政府的多个来源收集的二次数据。为了量化健康负担,使用了残疾调整生命年(DALY)方法。使用缩短的寿命表来估计新冠肺炎导致的预期寿命下降。过早死亡的价值是用人力资本方法估算的。结果新冠肺炎病例中,男性占65.08%,女性占34.92%。新冠肺炎造成的总体健康负担在2020年为19,24107 DALY,2021年为43,40526 DALY,2022年为8,08124 DALY。每1000名男性的健康负担是每1000名女性的两倍多。这是由于男性的感染率和病死率高于女性。60-64岁年龄组每1000人中健康寿命损失最高,而55-59岁年龄组的总体损失最高。由于新冠肺炎死亡人数增加,2020年预期寿命下降0.24岁,2021年下降0.47岁,2022年下降0.07岁。新冠肺炎大流行前三年的过早死亡总价值为15849.99亿印度卢比。结论在印度,男性和老年人更容易受到新冠肺炎的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Gender and age group-wise inequality in health burden and value of premature death from COVID-19 in India

Gender and age group-wise inequality in health burden and value of premature death from COVID-19 in India

Gender and age group-wise inequality in health burden and value of premature death from COVID-19 in India

Background

Earlier studies have focused on the age-group-wise health burden of COVID-19 while few studies have focused on the gender-wise analysis of the burden of COVID-19. The present study estimated the health burden and value of premature mortality from COVID-19 based on gender and age.

Methods

This study was based on secondary data collected from several sources of the government of India. To quantify the health burden, the disability-adjusted life years (DALY) method was used. An abridged life table was used to estimate the fall in life expectancy due to COVID-19. The value of premature mortality was estimated by using the human capital approach.

Results

Among COVID-19 cases, 65.08% were males and 34.92% were females. The overall health burden caused by COVID-19 was 19,24,107 DALY in 2020, 43,40,526 DALY in 2021, and 8,08,124 DALY in 2022. The health burden per 1000 males was more than double that per 1000 females. This was due to higher rates of infection and case fatality rate among males compared to females. The age group 60–64 years experienced the highest loss of healthy life years per 1000 people, while the age group 55–59 years had the highest overall loss. Due to additional deaths from COVID-19, life expectancy decreased by 0.24 years in 2020, 0.47 years in 2021, and 0.07 years in 2022. The total value of premature death in the first three years of the COVID-19 pandemic amounted to 15,849.99 crores INR.

Conclusion

In India, males and the older population were more susceptible to the impact of COVID-19.

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来源期刊
Aging and health research
Aging and health research Clinical Neurology, Public Health and Health Policy, Geriatrics and Gerontology
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