Generic Logic Model for Coronavirus Disease-2019 Responses Based on the South Korean Experience
As the global coronavirus disease-2019 (COVID-19) pandemic continues, many countries have implemented public health policies, such as lockdowns and physical distancing measures, to prevent its spread. South Korea's response to COVID-19, which prevented an increase in confirmed cases and increas...
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| Veröffentlicht in: | Risk management and healthcare policy 2021-01, Vol.14, p.4765-4774 |
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| creator | Chun, Hae-Ryoung Yoon, Kyuhyun Kim, Hana Cheon, Eunsil Ha, Jaeyoung Tak, Sangwoo Cho, Sung-Il |
| description | As the global coronavirus disease-2019 (COVID-19) pandemic continues, many countries have implemented public health policies, such as lockdowns and physical distancing measures, to prevent its spread. South Korea's response to COVID-19, which prevented an increase in confirmed cases and increased resilience, has been considered very effective.
To analyze Korea's response to COVID-19 in 2020 and develop a logic model to evaluate performance effectiveness in follow-up studies.
By content analysis of Korea Disease Control and Prevention Agency (KDCA) press releases, we defined the problems and identified the causes of the health and social effects of the COVID-19 outbreak. Next, we created a problem tree and developed a logic model that comprised inputs, activities, outputs, outcomes, and impacts. Finally, we held expert consultations to obtain expert opinions regarding the logic model and to ensure the model's validity.
South Korea's COVID-19 response policy mitigated the social and health impacts. The 2020 COVID-19 responses had four outcomes (identifying cases on time, preventing transmission of coronavirus infection, effective treatment of COVID-19 cases, protecting public resilience and well-being) and 12 outputs; South Korea conducted 32 activities.
The results can be a practical reference for managing problems faced in other countries. Korean policy may be of interest in the future for international decision-makers in charge of policy enforcement and those who may be called on to respond to new infectious diseases. |
| doi_str_mv | 10.2147/RMHP.S336425 |
| format | Article |
| fullrecord | <record><control><sourceid>gale_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8630429</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A687236592</galeid><sourcerecordid>A687236592</sourcerecordid><originalsourceid>FETCH-LOGICAL-c467t-324e831bbe2743a6246412314b1319c01438f428aad76b99a9d37b309145af833</originalsourceid><addsrcrecordid>eNptkttrFDEUxgdRbKl981kCgvTBWXObXF6Eur2JW5RWn0Nm5sxOymyyJjNF_3uzdFt3xQSScPI7X5KTryheEzyjhMsPN9dX32a3jAlOq2fFISFSl6TS_PnO-qA4TukO58a1kkq-LA4YV5XCkh0W5hI8RNegRVjm8Tq0MKAuRDQPMXh77-KU0JlLYBOUFBONbiCtg0-Q0Kcca1HwaOwB3YZp7NGXEMF6dP5rnUXBN_CqeNHZIcHxdj4qflycf59flYuvl5_np4uy4UKOJaMcFCN1DVRyZgXlghPKCK8JI7rBhDPVcaqsbaWotba6ZbJmWBNe2U4xdlR8fNBdT_UK2gb8GO1g1tGtbPxtgnVmf8e73izDvVGCYU51FjjZCsTwc4I0mpVLDQyD9RCmZKjAQtOKU5rRt_-gd2GKPj8vU4TkyypM_lJLO4Bxvgv53GYjak6FkpSJSm-0Zv-hcm9h5ZrgoXM5vpfwbiehBzuMfQrDNLr8Kfvg-wewiSGlCN1TMQg2G_OYjXnM1jwZf7NbwCf40SrsD1Uauvk</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2611014801</pqid></control><display><type>article</type><title>Generic Logic Model for Coronavirus Disease-2019 Responses Based on the South Korean Experience</title><source>Taylor & Francis Open Access</source><source>DOVE Medical Press Journals</source><source>DOAJ Directory of Open Access Journals</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>PubMed Central</source><source>PubMed Central Open Access</source><creator>Chun, Hae-Ryoung ; Yoon, Kyuhyun ; Kim, Hana ; Cheon, Eunsil ; Ha, Jaeyoung ; Tak, Sangwoo ; Cho, Sung-Il</creator><creatorcontrib>Chun, Hae-Ryoung ; Yoon, Kyuhyun ; Kim, Hana ; Cheon, Eunsil ; Ha, Jaeyoung ; Tak, Sangwoo ; Cho, Sung-Il</creatorcontrib><description>As the global coronavirus disease-2019 (COVID-19) pandemic continues, many countries have implemented public health policies, such as lockdowns and physical distancing measures, to prevent its spread. South Korea's response to COVID-19, which prevented an increase in confirmed cases and increased resilience, has been considered very effective.
To analyze Korea's response to COVID-19 in 2020 and develop a logic model to evaluate performance effectiveness in follow-up studies.
By content analysis of Korea Disease Control and Prevention Agency (KDCA) press releases, we defined the problems and identified the causes of the health and social effects of the COVID-19 outbreak. Next, we created a problem tree and developed a logic model that comprised inputs, activities, outputs, outcomes, and impacts. Finally, we held expert consultations to obtain expert opinions regarding the logic model and to ensure the model's validity.
South Korea's COVID-19 response policy mitigated the social and health impacts. The 2020 COVID-19 responses had four outcomes (identifying cases on time, preventing transmission of coronavirus infection, effective treatment of COVID-19 cases, protecting public resilience and well-being) and 12 outputs; South Korea conducted 32 activities.
The results can be a practical reference for managing problems faced in other countries. Korean policy may be of interest in the future for international decision-makers in charge of policy enforcement and those who may be called on to respond to new infectious diseases.</description><identifier>ISSN: 1179-1594</identifier><identifier>EISSN: 1179-1594</identifier><identifier>DOI: 10.2147/RMHP.S336425</identifier><identifier>PMID: 34858073</identifier><language>eng</language><publisher>England: Dove Medical Press Limited</publisher><subject>Analysis ; Communicable diseases ; Contact tracing ; Content analysis ; Coronaviruses ; COVID-19 ; Disease control ; Disease transmission ; Epidemics ; Health policy ; Infectious diseases ; Keywords ; Medical policy ; Mental health ; Mortality ; Original Research ; Pandemics ; Prevention ; Public health ; Quarantine ; Severe acute respiratory syndrome coronavirus 2 ; South Korea ; Well being</subject><ispartof>Risk management and healthcare policy, 2021-01, Vol.14, p.4765-4774</ispartof><rights>2021 Chun et al.</rights><rights>COPYRIGHT 2021 Dove Medical Press Limited</rights><rights>2021. This work is licensed under https://creativecommons.org/licenses/by-nc/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2021 Chun et al. 2021 Chun et al.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c467t-324e831bbe2743a6246412314b1319c01438f428aad76b99a9d37b309145af833</cites><orcidid>0000-0002-3053-2054 ; 0000-0003-4085-1494 ; 0000-0002-3576-4524 ; 0000-0002-3669-6615 ; 0000-0003-4099-8365 ; 0000-0001-7017-1145 ; 0000-0002-2567-2845</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8630429/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8630429/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,3849,27903,27904,53768,53770</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/34858073$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Chun, Hae-Ryoung</creatorcontrib><creatorcontrib>Yoon, Kyuhyun</creatorcontrib><creatorcontrib>Kim, Hana</creatorcontrib><creatorcontrib>Cheon, Eunsil</creatorcontrib><creatorcontrib>Ha, Jaeyoung</creatorcontrib><creatorcontrib>Tak, Sangwoo</creatorcontrib><creatorcontrib>Cho, Sung-Il</creatorcontrib><title>Generic Logic Model for Coronavirus Disease-2019 Responses Based on the South Korean Experience</title><title>Risk management and healthcare policy</title><addtitle>Risk Manag Healthc Policy</addtitle><description>As the global coronavirus disease-2019 (COVID-19) pandemic continues, many countries have implemented public health policies, such as lockdowns and physical distancing measures, to prevent its spread. South Korea's response to COVID-19, which prevented an increase in confirmed cases and increased resilience, has been considered very effective.
To analyze Korea's response to COVID-19 in 2020 and develop a logic model to evaluate performance effectiveness in follow-up studies.
By content analysis of Korea Disease Control and Prevention Agency (KDCA) press releases, we defined the problems and identified the causes of the health and social effects of the COVID-19 outbreak. Next, we created a problem tree and developed a logic model that comprised inputs, activities, outputs, outcomes, and impacts. Finally, we held expert consultations to obtain expert opinions regarding the logic model and to ensure the model's validity.
South Korea's COVID-19 response policy mitigated the social and health impacts. The 2020 COVID-19 responses had four outcomes (identifying cases on time, preventing transmission of coronavirus infection, effective treatment of COVID-19 cases, protecting public resilience and well-being) and 12 outputs; South Korea conducted 32 activities.
The results can be a practical reference for managing problems faced in other countries. Korean policy may be of interest in the future for international decision-makers in charge of policy enforcement and those who may be called on to respond to new infectious diseases.</description><subject>Analysis</subject><subject>Communicable diseases</subject><subject>Contact tracing</subject><subject>Content analysis</subject><subject>Coronaviruses</subject><subject>COVID-19</subject><subject>Disease control</subject><subject>Disease transmission</subject><subject>Epidemics</subject><subject>Health policy</subject><subject>Infectious diseases</subject><subject>Keywords</subject><subject>Medical policy</subject><subject>Mental health</subject><subject>Mortality</subject><subject>Original Research</subject><subject>Pandemics</subject><subject>Prevention</subject><subject>Public health</subject><subject>Quarantine</subject><subject>Severe acute respiratory syndrome coronavirus 2</subject><subject>South Korea</subject><subject>Well being</subject><issn>1179-1594</issn><issn>1179-1594</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>8G5</sourceid><sourceid>BENPR</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNptkttrFDEUxgdRbKl981kCgvTBWXObXF6Eur2JW5RWn0Nm5sxOymyyJjNF_3uzdFt3xQSScPI7X5KTryheEzyjhMsPN9dX32a3jAlOq2fFISFSl6TS_PnO-qA4TukO58a1kkq-LA4YV5XCkh0W5hI8RNegRVjm8Tq0MKAuRDQPMXh77-KU0JlLYBOUFBONbiCtg0-Q0Kcca1HwaOwB3YZp7NGXEMF6dP5rnUXBN_CqeNHZIcHxdj4qflycf59flYuvl5_np4uy4UKOJaMcFCN1DVRyZgXlghPKCK8JI7rBhDPVcaqsbaWotba6ZbJmWBNe2U4xdlR8fNBdT_UK2gb8GO1g1tGtbPxtgnVmf8e73izDvVGCYU51FjjZCsTwc4I0mpVLDQyD9RCmZKjAQtOKU5rRt_-gd2GKPj8vU4TkyypM_lJLO4Bxvgv53GYjak6FkpSJSm-0Zv-hcm9h5ZrgoXM5vpfwbiehBzuMfQrDNLr8Kfvg-wewiSGlCN1TMQg2G_OYjXnM1jwZf7NbwCf40SrsD1Uauvk</recordid><startdate>20210101</startdate><enddate>20210101</enddate><creator>Chun, Hae-Ryoung</creator><creator>Yoon, Kyuhyun</creator><creator>Kim, Hana</creator><creator>Cheon, Eunsil</creator><creator>Ha, Jaeyoung</creator><creator>Tak, Sangwoo</creator><creator>Cho, Sung-Il</creator><general>Dove Medical Press Limited</general><general>Taylor & Francis Ltd</general><general>Dove</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7RV</scope><scope>7XB</scope><scope>88C</scope><scope>8C1</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>COVID</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>KB0</scope><scope>M0T</scope><scope>M2O</scope><scope>MBDVC</scope><scope>NAPCQ</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-3053-2054</orcidid><orcidid>https://orcid.org/0000-0003-4085-1494</orcidid><orcidid>https://orcid.org/0000-0002-3576-4524</orcidid><orcidid>https://orcid.org/0000-0002-3669-6615</orcidid><orcidid>https://orcid.org/0000-0003-4099-8365</orcidid><orcidid>https://orcid.org/0000-0001-7017-1145</orcidid><orcidid>https://orcid.org/0000-0002-2567-2845</orcidid></search><sort><creationdate>20210101</creationdate><title>Generic Logic Model for Coronavirus Disease-2019 Responses Based on the South Korean Experience</title><author>Chun, Hae-Ryoung ; 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South Korea's response to COVID-19, which prevented an increase in confirmed cases and increased resilience, has been considered very effective.
To analyze Korea's response to COVID-19 in 2020 and develop a logic model to evaluate performance effectiveness in follow-up studies.
By content analysis of Korea Disease Control and Prevention Agency (KDCA) press releases, we defined the problems and identified the causes of the health and social effects of the COVID-19 outbreak. Next, we created a problem tree and developed a logic model that comprised inputs, activities, outputs, outcomes, and impacts. Finally, we held expert consultations to obtain expert opinions regarding the logic model and to ensure the model's validity.
South Korea's COVID-19 response policy mitigated the social and health impacts. The 2020 COVID-19 responses had four outcomes (identifying cases on time, preventing transmission of coronavirus infection, effective treatment of COVID-19 cases, protecting public resilience and well-being) and 12 outputs; South Korea conducted 32 activities.
The results can be a practical reference for managing problems faced in other countries. Korean policy may be of interest in the future for international decision-makers in charge of policy enforcement and those who may be called on to respond to new infectious diseases.</abstract><cop>England</cop><pub>Dove Medical Press Limited</pub><pmid>34858073</pmid><doi>10.2147/RMHP.S336425</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0002-3053-2054</orcidid><orcidid>https://orcid.org/0000-0003-4085-1494</orcidid><orcidid>https://orcid.org/0000-0002-3576-4524</orcidid><orcidid>https://orcid.org/0000-0002-3669-6615</orcidid><orcidid>https://orcid.org/0000-0003-4099-8365</orcidid><orcidid>https://orcid.org/0000-0001-7017-1145</orcidid><orcidid>https://orcid.org/0000-0002-2567-2845</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Analysis Communicable diseases Contact tracing Content analysis Coronaviruses COVID-19 Disease control Disease transmission Epidemics Health policy Infectious diseases Keywords Medical policy Mental health Mortality Original Research Pandemics Prevention Public health Quarantine Severe acute respiratory syndrome coronavirus 2 South Korea Well being |
| title | Generic Logic Model for Coronavirus Disease-2019 Responses Based on the South Korean Experience |
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