印度的超额COVID-19感染、死亡率和经济发展

M. Mathur, Achintya Ray
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引用次数: 1

摘要

本研究的主要目的是估计印度超额Covid-19病例和死亡率的程度,并研究其与该国各地区经济进步程度的关系,特别是考虑到全国范围内疫情影响的不均匀性。本研究的主要假设是:1)在人均收入水平较高的地区,每10万人的死亡率会较低;2)人均收入水平高的地区往往城市化程度更高,经济活动更活跃,因此人口密度也更高,这增加了发病率和死亡率的可能性。研究对象是从大流行的头几个月开始到2021年年中,印度31个邦和联邦直辖区的2000多万例Covid-19病例和37万多例死亡。本研究的方法学工具为回归分析法。对流行病管理成功的相对衡量标准(低于死亡率中位数的一半作为衡量成功的相对门槛)的研究从经验上证实并从理论上证明,截至2021年6月18日,印度至少有1660万例新冠肺炎病例和228,000多例新冠肺炎死亡。本文通过实证分析新冠肺炎人口超额死亡人数与国家人均收入(作为解释变量)之间的关系,证明了约60%的实际死亡人数和超额死亡人数可以仅用人均收入来解释。根据分析结果,事实证明,在富裕的州,实际死亡人数和超额死亡人数都较高。与较富裕的国家相比,较贫穷的国家在保持Covid-19死亡率较低方面做得相当好。即使在控制了用作大流行传播指标的病例量之后,Covid-19死亡率与人均收入之间的正相关关系也没有消失。这一增强模型解释了印度Covid-19大流行造成的约80%的实际死亡和超额死亡。在控制病例数量后,人均收入每增加1000卢比,导致每10万人中死亡人数增加约15人。本文介绍了对经济发展(以人均收入衡量)与COVID-19超额死亡率之间关系的实证分析结果,证明两者之间存在正相关关系,并证明经济进步对人体免疫力的潜在不利影响,特别是在人口密度、生活条件和粮食安全调节这种关系的情况下。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Excess COVID-19 Infections, Mortality, and Economic Development in India
Abstract The main purpose of the research is to estimate the extent of excess Covid-19 cases and mortalities in India and examine its relationship with the degree of economic progress in various parts of the country especially given the uneven nature of the impact of the pandemic throughout the nation. The main hypotheses of the study were: 1) in areas with a high level of income per capita, the death rate per 100,000 population will be lower; 2) areas with a high level of income per capita tend to be more urbanized, economically active, and therefore quite densely populated, which increases the probability of morbidity and mortality. The object of research is over 20 million Covid-19 cases and over 370,000 deaths in 31 States and Union Territories (UTs) in India beginning in the first months of the pandemic and going through the middle of 2021. The methodological tools of the conducted research were the methods of regression analysis. The study of a relative measure of success in pandemic management (less than one-half of the median death rate as the relative threshold for measuring success) empirically confirms and theoretically proves that India had at least 16.6 million excess Covid-19 cases and over 228,000 excess COVID-19 deaths as of June 18, 2021. The paper presents the results of an empirical analysis of the relationship between excess deaths of the population from Covid-19 and state-level per-capita income (as an explanatory variable), which testified that about 60% of actual and excess deaths can be explained by the per-capita income alone. According to the results of the analysis, it was proved that actual and excess deaths are both higher in richer states. Poorer states did considerably well in keeping Covid-19 mortality low compared to their more affluent counterparts. The positive relationship between Covid-19 mortality and per-capita income does not go away even after controlling for the caseloads used as a proxy for the spread of the pandemic. This augmented model explains about 80% of the actual and excess deaths from the Covid-19 pandemic in India. After controlling for caseloads, a thousand Rupees increase in per-capita income contributed to about 15 additional deaths per 100,000 population. The article presents the results of an empirical analysis of the relationship between economic development (as measured by the per-capita income) and excess mortality from COVID-19, which proved a positive relationship between them and proved a potentially adverse impact of economic progress on human immunity, especially if population density, living conditions, and food security moderate that relationship.
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