Evidence map›Paper›PMID 41048264›Full record

ArticleFrontiers in public health2025

Toward resilience for public health emergency response system during COVID-19: qualitative comparative analyses of 40 countries.

Lingzhi Li, Yifan Tang, Mengxia Zhu, Yudi Chen, Peng Cui

Abstract readComparative Study
In one paragraph

Article in Frontiers in public 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.

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

5 authors.

Lingzhi LiResearch Center of Smart City, Nanjing Tech University, Nanjing, China.
Yifan TangResearch Center of Smart City, Nanjing Tech University, Nanjing, China.
Mengxia ZhuResearch Center of Smart City, Nanjing Tech University, Nanjing, China.
Yudi ChenDepartment of Management Science and Engineering, Nanjing University of Aeronautics & Astronautics, Nanjing, China.
Peng CuiSchool of Civil Engineering, Nanjing Forestry University, Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As a critical defense mechanism against COVID-19, the national public health emergency response system (PHERS) with high resilience enables effective identification, absorption, and resistance of epidemic crises. This resilience is essential for safeguarding public health and rapidly restoring social stability. However, existing studies primarily focus on single-aspect strategies in specific countries, lacking a systematic understanding of how resilience strategies influence PHERS resilience outcomes. Therefore, this study aims to establish evidence-based and configurational resilience strategies to improve the effectiveness of PHERS in responding to epidemic threats. This study proposes a theoretical framework to characterize resilience strategies and resilience outcomes for PHERS. The fuzzy-set qualitative comparative analysis (fsQCA) method is applied to analyze data from 40 countries during the COVID-19 crisis. The findings reveal three configuration paths to enhance robustness and three paths to enhance rapidity. These results emphasize the importance of the synergistic implementation of containment and closures, travel control, public personal protection, and early virus detection in improving PHERS resilience. This study provides a structured approach to understanding PHERS resilience by identifying key configuration paths that enhance robustness and rapidity. The results offer actionable insights for designing resilient PHERS to better respond to future epidemics.

Indexed as

COVID-19Public HealthHumansQualitative ResearchResilience, PsychologicalSARS-CoV-2configuration analysisCOVID-19fuzzy set qualitative comparative analysispublic health emergency response system (PHERS)resilience

Identifiers

PMID41048264
PMCPMC12488601

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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.