Evidence map›Paper›PMID 39656654›Full record

ArticleInternational health2025

Evaluation of joint external evaluation to COVID-19 and other infectious diseases mortality outcomes in 96 countries.

Yuri Lee, Siwoo Kim, Sieun Lee, Min Kyung Kim, Lawrence O Gostin, Juhwan Oh

Abstract read
In one paragraph

Article in International health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Yuri LeeDepartment of Health and Medical Information, Myongji College, Seodaemun-Gu, Seoul 03656, Republic of Korea.ORCID 0000-0002-2780-7678
Siwoo KimDivision of Disease Surveillance Strategy, Korea Disease Control and Prevention Agency, 187 Osongsaengmyeong2-ro, Osong-eup, Heungdeok-gu, Cheongju-si, Chungcheongbuk-do, 28159, Republic of Korea.
Sieun LeeDepartment of Health and Medical Information, Myongji College, Seodaemun-Gu, Seoul 03656, Republic of Korea.
Min Kyung KimGillings School of Global Public Health, Carolina Population Center, University of North Carolina at Chapel Hill, 135 Dauer Dr., Chapel Hill, NC 27599, USA.
Lawrence O GostinO'Neill Institute for National and Global Health Law, Georgetown University Law Center, 600 New Jersey Ave., NW Washington D.C. 20001, USA.
Juhwan OhDepartment of Medicine, Seoul National University College of Medicine, 103 Daehak-ro, Jongno District, Seoul 03087, Republic of Korea.ORCID 0000-0003-0983-4872

Funding

National Research Foundation of Korea 2020S1A5A8047653
6 · The paper itself

Abstract

backgroundThis study evaluated the effectiveness of Joint External Evaluation (JEE) scores with regard to coronavirus disease 2019 (COVID-19) and other infectious diseases performance in 96 countries. To propose a revised JEE tool, potential JEE indicators were also examined.

methodsJEE data from 2016-2019 were linked with outcomes such as COVID-19 fatality rates and infections, as well as mortality rates for other infectious diseases. We also examined potential indicators such as the Sustainable Development Goals (SDGs) and Universal Health Coverage index to propose enhancements to the JEE tool. Multiple regression analysis was used to assess these associations.

resultsThe average JEE score was 2.70 (SD=0.92) in 96 countries. Detection capabilities received the highest average score (3.23), while the other areas (2.30) section received the lowest scores. However, the analysis revealed that the JEE tool had limited predictive accuracy for COVID-19 outcomes. By contrast, the JEE scores showed a negative association with the performance of other infectious diseases. Notably, SDGs 2 (zero hunger), 4 (quality education) and 8 (decent work and economic growth) were strongly associated with better COVID-19 outcomes.

conclusionThe JEE scores showed limited predictive value for COVID-19 mortality outcomes in 96 countries. The tool offers insights into health security, but needs revision to better handle future pandemics.

Indexed as

Communicable DiseasesCOVID-19Global HealthHumansSARS-CoV-2Sustainable DevelopmentCOVID-19infectious diseasesJoint External Evaluation

Identifiers

PMID39656654
PMCPMC12212205

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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.