Cirakli Umit, Dogan Ibrahim, Gozlu Mehmet
Department of Health Management, Faculty of Economics and Administrative Sciences, Yozgat Bozok University, Yozgat, Turkey.
Department of Economics, Faculty of Economics and Administrative Sciences, Yozgat Bozok University, Yozgat, Turkey.
J Knowl Econ. 2022;13(3):1737-1750. doi: 10.1007/s13132-021-00792-z. Epub 2021 Apr 13.
Testing, one of the methods to combat the COVID-19 outbreak, is highly recommended in all countries. Empirical studies on how testing relates to the control of new cases will help highlight the importance of testing in efforts to combat the epidemic. Therefore, this study aims to investigate the relationship between COVID-19 testing and COVID-19 cases. We use panel autoregressive distributed lag analysis to test the effect of COVID-19 test number on the COVID-19 new cases. The data of the study cover the period from March 19, 2020, to May 01, 2020, for 14 OECD countries. Data were obtained from the https://ourworldindata.org/coronavirus website. According to the results, this study shows that increasing the COVID-19 test number will help to reduce new COVID-19 cases. On the other hand, increase in the test number per thousand will probably not contribute to reducing new COVID-19 cases, because countries do not already test by random selection, and even if they do, it will not contribute to detection and isolating of the new cases without identifying risky groups.
检测作为抗击新冠疫情的方法之一，在所有国家都受到高度推荐。关于检测与新增病例控制之间关系的实证研究，将有助于凸显检测在抗击疫情努力中的重要性。因此，本研究旨在调查新冠病毒检测与新冠病例之间的关系。我们使用面板自回归分布滞后分析来检验新冠病毒检测数量对新冠新增病例的影响。本研究的数据涵盖了2020年3月19日至2020年5月1日期间14个经合组织国家的情况。数据取自https://ourworldindata.org/coronavirus网站。根据结果，本研究表明增加新冠病毒检测数量将有助于减少新冠新增病例。另一方面，每千人检测数量的增加可能无助于减少新冠新增病例，因为各国并非通过随机选择进行检测，而且即便如此，如果不识别风险群体，也无助于发现和隔离新增病例。
