COVID-19大流行的全球传播和社会经济决定因素

Varinder Jain, Lakhwinder Singh
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引用次数: 12

摘要

鉴于这种情况,本文分析了各国在Covid-19感染方面的差异,自2020年1月13日以来,在短短107天内,Covid-19大流行在全球范围内迅速蔓延,在209个国家感染了300多万人。已经开发了一种新的方法来检查决定一个国家感染Covid-19和死亡的社会经济变量,最重要的方法贡献是设计了一个客观标准,用于确定在控制人类感染和死亡率方面表现最好和最差的国家。回归分析得出的重要发现表明,民主和善治发挥着重要作用但与此同时,在民主和人均收入较高的情况下,感染患者也会增加,这些推论被发现是强有力的,并在随后对截至2020年8月27日的2433万感染病例进行的回归分析中得到了重复。口罩和手卫生等可以使人类免于感染和死亡
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Global Spread and Socio-Economic Determinants of COVID-19 Pandemic
Covid-19 pandemic being highly lethal has spread so swiftly across the globe that it has infected more than three million persons across 209 countries within a short time-span of 107 days since January 13, 2020 Given such situation, this paper examines differences across countries in terms of Covid-19 infections, testing and deaths A novel approach has been developed to examine socio-economic variables that determine a nation's exposure to Covid-19 infections and deaths The most important methodological contribution has been to devise an objective criterion for identifying the best and worst performing nations in terms of controlling infection and mortality of human beings An important finding emerging from the regression analysis establishes the fact that democracy and good governance plays significant role in curtailing mortality rates But, at the same time, there also takes place a rise in infected patients in the presence of democracy and higher per capita income These inferences are found to be robust and replicated on subsequent regression analysis of 24 33 million infections by August 27, 2020 The policy implication that results from the analysis is that in the absence of definite treatment (like vaccine), physical / social distancing, masks and hand-hygiene etc can save humans from infections and mortality
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