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Covid-19 mortality is negatively associated with test number and government effectiveness.
Scientific Reports ( IF 3.998 ) Pub Date : 2020-07-24 , DOI: 10.1038/s41598-020-68862-x
Li-Lin Liang,Ching-Hung Tseng,Hsiu J Ho,Chun-Ying Wu

A question central to the Covid-19 pandemic is why the Covid-19 mortality rate varies so greatly across countries. This study aims to investigate factors associated with cross-country variation in Covid-19 mortality. Covid-19 mortality rate was calculated as number of deaths per 100 Covid-19 cases. To identify factors associated with Covid-19 mortality rate, linear regressions were applied to a cross-sectional dataset comprising 169 countries. We retrieved data from the Worldometer website, the Worldwide Governance Indicators, World Development Indicators, and Logistics Performance Indicators databases. Covid-19 mortality rate was negatively associated with Covid-19 test number per 100 people (RR = 0.92, P = 0.001), government effectiveness score (RR = 0.96, P = 0.017), and number of hospital beds (RR = 0.85, P < 0.001). Covid-19 mortality rate was positively associated with proportion of population aged 65 or older (RR = 1.12, P < 0.001) and transport infrastructure quality score (RR = 1.08, P = 0.002). Furthermore, the negative association between Covid-19 mortality and test number was stronger among low-income countries and countries with lower government effectiveness scores, younger populations and fewer hospital beds. Predicted mortality rates were highly associated with observed mortality rates (r = 0.77; P < 0.001). Increasing Covid-19 testing, improving government effectiveness and increasing hospital beds may have the potential to attenuate Covid-19 mortality.



中文翻译:

Covid-19死亡率与测试人数和政府效力负相关。

Covid-19大流行的核心问题是为什么Covid-19死亡率在各个国家之间差异如此之大。这项研究旨在调查与Covid-19死亡率越野变化相关的因素。将Covid-19死亡率计算为每100例Covid-19病例中的死亡人数。为了确定与Covid-19死亡率相关的因素,将线性回归应用于包括169个国家的横截面数据集。我们从Worldometer网站,全球治理指标,世界发展指标和物流绩效指标数据库中检索了数据。Covid-19死亡率与每100人的Covid-19测试次数(RR = 0.92,P  = 0.001),政府有效评分(RR = 0.96,P)呈负相关 = 0.017)和病床数(RR = 0.85,P  <0.001)。Covid-19死亡率与65岁或65岁以上人口的比例(RR = 1.12,P  <0.001)和交通基础设施质量得分(RR = 1.08,P  = 0.002)呈正相关。此外,在低收入国家和政府有效性评分较低,人口年轻且病床较少的国家中,Covid-19死亡率与检测数量之间的负相关性更强。预测的死亡率与观察到的死亡率高度相关(r = 0.77;P  <0.001)。增加Covid-19的检测,提高政府效力和增加病床可能会降低Covid-19的死亡率。

更新日期:2020-07-24
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