Since the coronavirus disease (COVID-19) pandemic started at the beginning of 2020, it has seriously affected various countries’ economic and social development and accelerated the economic recession worldwide. Therefore, the connectedness of the global COVID-19 network across countries is studied in this article. Based on COVID-19 correlations in 122 countries, we construct a complex network of COVID-19 from January 19, 2020, to August 15, 2020. We then deconstruct the overall global network connectedness and analyze the connectedness characteristics. Moreover, we empirically investigate the network connectedness influencing factors by using various countries’ macroeconomic and social data. We find that the global COVID-19 pandemic network has some prominent complex network properties, such as low path length, high clustering, and good community structure. Furthermore, population density, economic size, trade, government spending, and quality of medical treatment are significant macrofactors affecting COVID-19 connectedness in different countries.

自从2020年初开始冠状病毒病（COVID-19）大流行以来，它严重影响了各个国家的经济和社会发展，并加速了全球经济衰退。因此，本文研究了全球COVID-19网络在各个国家之间的连通性。基于122个国家/地区的COVID-19相关性，我们构建了一个从2020年1月19日到2020年8月15日的复杂的COVID-19网络。然后，我们对全球网络的整体连通性进行了解构，并分析了连通性特征。此外，我们通过使用各国的宏观经济和社会数据对网络连接性的影响因素进行实证研究。我们发现，全球COVID-19大流行网络具有一些突出的复杂网络属性，例如路径长度短，集群高，以及良好的社区结构。此外，人口密度，经济规模，贸易，政府支出和医疗质量是影响不同国家COVID-19连通性的重要宏观因素。