Global Analysis of COVID-19 Clinical Related Trials

M. Rathinasamy, Saritha Kandhasamy
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引用次数: 3

Abstract

Objectives: The aim of this study was to analyze clinical trials using topic modelling to identify emerging vaccine progression topics around the globe. Methods: The most important computational problem for the modeling of topics is using the observed documents to infer the hidden topic structure. The topic model was developed on the basis of data recorded on the WHO International Clinical Trials Registry Platform (ICTRP) between 3 February and 11 August 2020. Results: Show the top 10 topics based on the topic model that has been created. These topics are explored in the reviews and studies of clinical trials related to the development of the COVID-19 vaccine. Conclusion: This study aimed at the clinical trials registered at ICTRP and showed the recorded monthly clinical trials as well as the top 15 countries vying for the COVID-19 vaccine from 3 February to 11 August 2020. Using the dataset of the collected clinical trials, the topic model was developed to examine emerging trends in vaccine progression. J Microbiol Infect Dis 2020; 10(4):xxxxx. Keywords: COVID-19, Clinical trials, Vaccine progression, Emerging topics, Topic model
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COVID-19临床相关试验全球分析
目的:本研究的目的是分析使用主题建模的临床试验,以确定全球新出现的疫苗进展主题。方法:主题建模中最重要的计算问题是利用观察到的文档推断出隐藏的主题结构。该主题模型是根据世卫组织国际临床试验注册平台(ICTRP)在2020年2月3日至8月11日期间记录的数据开发的。结果:显示基于已创建的主题模型的前10个主题。这些主题在与新冠肺炎疫苗开发相关的临床试验综述和研究中进行了探讨。结论:本研究针对在ICTRP注册的临床试验,显示了记录的每月临床试验以及2020年2月3日至8月11日争夺COVID-19疫苗的前15个国家。利用收集的临床试验数据集,开发了主题模型,以检查疫苗进展的新趋势。中华微生物学杂志[J];10 (4): xxxxx。关键词:COVID-19,临床试验,疫苗进展,新兴话题,话题模型
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