Evidence map›Paper›PMID 34858073›Full record

ArticleRisk management and healthcare policy2021

Generic Logic Model for Coronavirus Disease-2019 Responses Based on the South Korean Experience.

Hae-Ryoung Chun, Kyuhyun Yoon, Hana Kim, Eunsil Cheon, Jaeyoung Ha, Sangwoo Tak, Sung-Il Cho

Open access · goldAbstract read
In one paragraph

Article in Risk management and healthcare policy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 78% of its field
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 0 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

Hae-Ryoung ChunGraduate School of Public Health, Seoul National University, Seoul, 08826, Republic of Korea.ORCID 0000-0002-2567-2845
Kyuhyun YoonInstitute of Health & Environment, Seoul National University, Seoul, 08826, Republic of Korea.ORCID 0000-0001-7017-1145
Hana KimGraduate School of Public Health, Seoul National University, Seoul, 08826, Republic of Korea.ORCID 0000-0002-3669-6615
Eunsil CheonGraduate School of Public Health, Seoul National University, Seoul, 08826, Republic of Korea.ORCID 0000-0003-4099-8365
Jaeyoung HaGraduate School of Public Health, Seoul National University, Seoul, 08826, Republic of Korea.ORCID 0000-0002-3053-2054
Sangwoo TakInstitute of Health & Environment, Seoul National University, Seoul, 08826, Republic of Korea.ORCID 0000-0002-3576-4524
Sung-Il ChoGraduate School of Public Health, Seoul National University, Seoul, 08826, Republic of Korea.ORCID 0000-0003-4085-1494
Seoul National University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAs 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. PURPOSE: To analyze Korea's response to COVID-19 in 2020 and develop a logic model to evaluate performance effectiveness in follow-up studies.

methodsBy 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.

resultsSouth 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.

conclusionThe 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.

Indexed as

COVID-19 pandemiclogical frameworkpublic health policy

Identifiers

PMID34858073
PMCPMC8630429
OpenAlexW3215569957

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.