The Relationship Between COVID-19 Cases and COVID-19 Testing: a Panel Data Analysis on OECD Countries
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 rel...
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| Veröffentlicht in: | Journal of the knowledge economy 2022-09, Vol.13 (3), p.1737-1750 |
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| creator | Cirakli, Umit Dogan, Ibrahim Gozlu, Mehmet |
| description | 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. |
| doi_str_mv | 10.1007/s13132-021-00792-z |
| format | Article |
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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.</description><identifier>ISSN: 1868-7865</identifier><identifier>EISSN: 1868-7873</identifier><identifier>DOI: 10.1007/s13132-021-00792-z</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Coronaviruses ; COVID-19 ; COVID-19 diagnostic tests ; Economic Policy ; Economics ; Economics and Finance ; Entrepreneurship ; Longitudinal studies ; R & D/Technology Policy</subject><ispartof>Journal of the knowledge economy, 2022-09, Vol.13 (3), p.1737-1750</ispartof><rights>The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021</rights><rights>The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c451t-7646e35d0461b2b37b15cd4f24299613342c3a63a695d6d401d9adccf8fac9c3</citedby><cites>FETCH-LOGICAL-c451t-7646e35d0461b2b37b15cd4f24299613342c3a63a695d6d401d9adccf8fac9c3</cites><orcidid>0000-0002-3134-8830</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s13132-021-00792-z$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s13132-021-00792-z$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>230,314,780,784,885,27924,27925,41488,42557,51319</link.rule.ids></links><search><creatorcontrib>Cirakli, Umit</creatorcontrib><creatorcontrib>Dogan, Ibrahim</creatorcontrib><creatorcontrib>Gozlu, Mehmet</creatorcontrib><title>The Relationship Between COVID-19 Cases and COVID-19 Testing: a Panel Data Analysis on OECD Countries</title><title>Journal of the knowledge economy</title><addtitle>J Knowl Econ</addtitle><description>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.</description><subject>Coronaviruses</subject><subject>COVID-19</subject><subject>COVID-19 diagnostic tests</subject><subject>Economic Policy</subject><subject>Economics</subject><subject>Economics and Finance</subject><subject>Entrepreneurship</subject><subject>Longitudinal studies</subject><subject>R & D/Technology Policy</subject><issn>1868-7865</issn><issn>1868-7873</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNp9UV1LwzAULaLgmPsDPgV8ruaraeODMLupg8FEiq8hTdOto0tn0irbrzfaseGLIZD7cc65uZwguEbwFkEY3zlEEMEhxCj0Kcfh_iwYoIQlYZzE5PwYs-gyGDm3hv4QThCig0BnKw3edC3bqjFuVW3Bo26_tDYgXbzPJiHiIJVOOyBNcSpl2rWVWd4DCV6l0TWYyFaCsZH1zlUONAYspukEpE1nWltpdxVclLJ2enR4h0H2NM3Sl3C-eJ6l43moaITaMGaUaRIVkDKU45zEOYpUQUtMMecMEUKxIpL5y6OCFRSigstCqTIppeKKDIOHXnbb5RtdKO2ny1psbbWRdicaWYm_HVOtxLL5FAmkBHLuBW4OArb56PySYt101q_lBGacEf-ROPYo3KOUbZyzujxOQFD8OCJ6R4R3RPw6IvaeRHqS82Cz1PYk_Q_rG63JjQ0</recordid><startdate>20220901</startdate><enddate>20220901</enddate><creator>Cirakli, Umit</creator><creator>Dogan, Ibrahim</creator><creator>Gozlu, Mehmet</creator><general>Springer US</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7WY</scope><scope>7WZ</scope><scope>7XB</scope><scope>87Z</scope><scope>8FK</scope><scope>8FL</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FRNLG</scope><scope>F~G</scope><scope>K60</scope><scope>K6~</scope><scope>K8~</scope><scope>L.-</scope><scope>M0C</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-3134-8830</orcidid></search><sort><creationdate>20220901</creationdate><title>The Relationship Between COVID-19 Cases and COVID-19 Testing: a Panel Data Analysis on OECD Countries</title><author>Cirakli, Umit ; 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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.</abstract><cop>New York</cop><pub>Springer US</pub><doi>10.1007/s13132-021-00792-z</doi><tpages>14</tpages><orcidid>https://orcid.org/0000-0002-3134-8830</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Coronaviruses COVID-19 COVID-19 diagnostic tests Economic Policy Economics Economics and Finance Entrepreneurship Longitudinal studies R & D/Technology Policy |
| title | The Relationship Between COVID-19 Cases and COVID-19 Testing: a Panel Data Analysis on OECD Countries |
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