Springer Steffen, Strzelecki Artur, Zieger Michael
SRH Wald-Klinikum Gera GmbH, Gera, Germany.
University of Economics in Katowice, Department of Informatics, Katowice, Poland.
Healthc Anal (N Y). 2023 Nov;3:100158. doi: 10.1016/j.health.2023.100158. Epub 2023 Mar 9.
The coronavirus or COVID-19 pandemic represents a health event with far-reaching global consequences, triggering a strong search interest in related topics on the Internet worldwide. The use of search engine data has become commonplace in research, but a universal standard for comparing different works is desirable to simplify the comparison. The coronavirus pandemic's enormous impact and media coverage have triggered an exceptionally high search interest. Consequently, the maximum generable interest (MGI) on coronavirus is proposed as a universal reference for objectifying and comparing relative search interest in the future. This search interest can be explored with search engine data such as Google Trends data. Additional standards for medium and low search volumes can also be used to reflect the search interest of topics at different levels. Size standards, such as reference to MGI, may help make research more comparable and better evaluate relative search volumes. This study presents a framework for this purpose using the example of stroke.
冠状病毒或新冠疫情是一个具有深远全球影响的健康事件,引发了全球互联网上对相关主题的强烈搜索兴趣。在研究中使用搜索引擎数据已变得很普遍,但需要一个通用标准来比较不同的研究成果,以简化比较过程。冠状病毒大流行的巨大影响和媒体报道引发了异常高的搜索兴趣。因此,提出将冠状病毒的最大可产生兴趣(MGI)作为未来客观化和比较相对搜索兴趣的通用参考。这种搜索兴趣可以通过谷歌趋势数据等搜索引擎数据来探究。还可以使用针对中低搜索量的附加标准来反映不同层面主题的搜索兴趣。诸如参考MGI之类的规模标准可能有助于使研究更具可比性,并更好地评估相对搜索量。本研究以中风为例为此目的提出了一个框架。