论文标题
关于COVID 19死亡率，免疫力和疫苗开发的科学研究数据记录的数据挖掘和分析在COVID 19大流行中
Data mining and analysis of scientific research data records on Covid 19 mortality, immunity, and vaccine development in the first wave of the Covid 19 pandemic
论文作者
论文摘要
在这项研究中，我们研究了大流行早期阶段的科学研究反应，并回顾了有关先前流行病中预警系统如何反应遏制病毒的关键发现。使用可通勤的统计方法分析数据记录，包括R Studio，BiblioMetrix软件包和科学数据挖掘工具。我们确定了几个不同的簇，其中包含对运动，炎症，吸烟，肥胖和许多其他因素的参考。从对Covid-19和疫苗的分析中，我们发现，尽管美国在Covid 19疫苗的科学研究中处于领先地位，但领先的3个研究机构（Fudan，墨尔本，牛津）并未基于美国。因此，很难预测哪个国家将首次生产19个疫苗。
In this study, we investigate the scientific research response from the early stages of the pandemic, and we review key findings on how the early warning systems developed in previous epidemics responded to contain the virus. The data records are analysed with commutable statistical methods, including R Studio, Bibliometrix package, and the Web of Science data mining tool. We identified few different clusters, containing references to exercise, inflammation, smoking, obesity and many additional factors. From the analysis on Covid-19 and vaccine, we discovered that although the USA is leading in volume of scientific research on Covid 19 vaccine, the leading 3 research institutions (Fudan, Melbourne, Oxford) are not based in the USA. Hence, it is difficult to predict which country would be first to produce a Covid 19 vaccine.
