The Relationship Between COVID-19 Cases and COVID-19 Testing: a Panel Data Analysis on OECD Countries

被引:0
作者
Umit Cirakli
Ibrahim Dogan
Mehmet Gozlu
机构
[1] Yozgat Bozok University,Department of Health Management, Faculty of Economics and Administrative Sciences
[2] Yozgat Bozok University,Department of Economics, Faculty of Economics and Administrative Sciences
[3] Gaziantep University,Health Sciences Institute
来源
Journal of the Knowledge Economy | 2022年 / 13卷
关键词
COVID-19; COVID-19 test number; OECD countries; Panel autoregressive distributed lag model; H0J; 10; J12; J19;
D O I
暂无
中图分类号
学科分类号
摘要
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.
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页码:1737 / 1750
页数:13
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