Gangemi Sebastiano, Billeci Lucia, Tonacci Alessandro
School and Operative Unit of Allergy and Clinical Immunology, Department of Clinical and Experimental Medicine, University Hospital "G. Martino", Via Consolare Valeria SNC, 98125 Messina, Italy.
Institute of Clinical Physiology, National Research Council of Italy (IFC-CNR), Via Moruzzi 1, 56124 Pisa, Italy.
Clin Mol Allergy. 2020 Jul 1;18:12. doi: 10.1186/s12948-020-00127-4. eCollection 2020.
COVID-19, the novel coronavirus affecting the most part of worldwide countries since early 2020, is fast increasing its prevalence around the world, representing a significant emergency for the population and the health systems at large. While proper treatments are being developed, in-depth studies concerning its way of diffusion are necessary, in order to understand how the virus is actually spreading, through the investigation on some socio-economic indicators for the various countries in the world, retrieved through open-access data publicly available. The correlation analysis displayed significant relationships between COVID-19 incidence with several of such indicators, including the Gross Domestic Product per capita and the number of flights per capita, whereas mortality is mainly related to the main age of the population. All such data displayed an interesting mean to understand the way the virus has diffused worldwide, possibly representing the basis for future preventive measures to effectively challenge a new COVID-19 pandemic wave, but also other, similar pandemics.
自2020年初以来影响全球大部分国家的新型冠状病毒COVID-19在全球的流行率正在迅速上升,对广大民众和卫生系统构成重大紧急情况。在研发适当治疗方法的同时,有必要深入研究其传播方式,以便通过对世界各国一些社会经济指标的调查了解病毒实际是如何传播的,这些指标是通过公开可用的开放获取数据获得的。相关性分析显示,COVID-19发病率与其中几个指标之间存在显著关系,包括人均国内生产总值和人均航班数量,而死亡率主要与人口的主要年龄有关。所有这些数据都为了解病毒在全球的传播方式提供了一个有趣的途径,可能为未来有效应对新一波COVID-19大流行以及其他类似大流行的预防措施奠定基础。