Evidence map›Paper›PMID 42807059›Full record

ArticleFrontiers in public health2026

Healthcare system disruption across WHO-declared PHEICs: a 4S comparative case analysis.

Jung Min Kim, Jae Min Lee, Hye Ok Kim, Youn-Jung Kim, Sung Soo Kim, Manish Kumar Singh, Jin Woo Choi, Seung Geun Yeo

Abstract readComparative Study
In one paragraph

Article in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Jung Min Kim *Department of Otorhinolaryngology - Head and Neck Surgery, College of Medicine, Kyung Hee University Medical Center, Kyung Hee University, Seoul, Republic of Korea.
Jae Min Lee *Department of Otorhinolaryngology - Head and Neck Surgery, College of Medicine, Kyung Hee University Medical Center, Kyung Hee University, Seoul, Republic of Korea.
Hye Ok KimDepartment of Medicine, College of Medicine, Kyung Hee University, Seoul, Republic of Korea.
Youn-Jung KimCollege of Nursing Science, Kyung Hee University, Seoul, Republic of Korea.
Sung Soo KimDepartment of Biochemistry and Molecular Biology, College of Medicine, Kyung Hee University, Seoul, Republic of Korea.
Manish Kumar SinghDepartment of Biochemistry and Molecular Biology, College of Medicine, Kyung Hee University, Seoul, Republic of Korea.
Jin Woo ChoiDepartment of Pharmacology, College of Pharmacy, Kyung Hee University, Seoul, Republic of Korea.
Seung Geun YeoDepartment of Otorhinolaryngology - Head and Neck Surgery, College of Medicine, Kyung Hee University Medical Center, Kyung Hee University, Seoul, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: To compare documented patterns of healthcare-system disruption and response across WHO-declared Public Health Emergencies of International Concern (PHEICs) using the established 4S surge-capacity framework (Staff, Stuff, Space, Systems) and an author-developed 12-indicator operationalization. Methods: We conducted a structured comparative case analysis, not a systematic review of intervention effects, of all eight PHEIC events declared by WHO through 31 March 2026. The unit of analysis was the event, and the coded observations were operational occurrences documented in official sources. Twelve binary, unweighted author-developed indicators, three per 4S domain, were mapped to the four established domains. Activation required either one primary official source or two independent secondary sources meeting a prespecified threshold. Two reviewers independently assigned indicator-level codes, with disagreements resolved by consensus; indicators classified as Not Reported were combined with Not Activated. Activated indicators were summed within domains (range 0-3), and each observed configuration was assigned to one of four profiles using a fixed hierarchical rule sequence. Results: All eight events activated at least one indicator, and external workforce mobilization (S1) and diagnostic bottleneck (T3) were documented in every event. COVID-19 was the only event activating all 12 indicators (systemic convergence). The two Ebola virus disease events shared an identical configuration of complete Staff, Stuff, and Systems activation with Space limited to temporary or repurposed facilities (workforce-cascade). H1N1 influenza, poliomyelitis, and mpox clade I formed the residual partial multi-domain category and did not share a common domain signature. Zika virus disease and mpox clade II met the limited-domain rule, with no Space-domain activation. Conclusion: Public Health Emergencies of International Concern designation was not sufficient to identify a common pattern of documented health-system disruption. The typology is a provisional descriptive partition rather than a severity ranking, causal model, or predictive tool, and its residual category is heterogeneous by construction. Profiles are conditional on the documentary evidence base and the settings it represents; baseline health-system capacity was not incorporated, so the same pathogen could plausibly yield a different configuration elsewhere. The framework may offer a common vocabulary for discussing domain-specific preparedness needs under the revised International Health Regulations and the developing WHO Pandemic Agreement, but external validation is required.

Indexed as

Delivery of Health CareEmergenciesPublic HealthCOVID-19HumansPublic Health InfrastructureWorld Health Organizationcomparative analysisemergency preparednesshealthcare disruptionhealth system capacityhealth system resiliencepublic health emergency of international concern

Identifiers

PMID42807059
PMCPMC13617040

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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.