Evidence map›Paper›PMID 41179801›Full record

ArticleFrontiers in public health2025

Measuring and optimizing the urban community resilience against public health emergencies: a case study in Nanjing, China.

Peng Cui, Saiya Cao, Ruize Qin, Fan Zhang, Dezhi Li, Lan Feng

Abstract read
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

6 authors.

Peng CuiSchool of Civil Engineering, Nanjing Forestry University, Nanjing, China.
Saiya CaoSchool of Civil Engineering, Nanjing Forestry University, Nanjing, China.
Ruize QinA. James Clark School of Engineering, University of Maryland, College Park, MD, United States.
Fan ZhangDepartment of Building and Real Estate, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China.
Dezhi LiDepartment of Construction and Real Estate, Southeast University, Nanjing, China.
Lan FengSchool of Civil Engineering, Nanjing Forestry University, Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Urban communities, as the basic unit of urban governance, play a crucial role in responding to public health emergencies (PHEs). This study aims to investigate the resilience measurement and optimization strategies of urban communities in responding to PHEs in order to improve their resilience. Methods: The study constructed a resilience assessment framework and identified 31 key influencing factors to measure the resilience of case communities in Nanjing. Through sensitivity analysis, static optimization strategies were proposed from social, environmental, and economic levels. Dynamic Bayesian network inference simulation and importance analysis were used to propose dynamic optimization strategies from pre, during, and long-term perspectives. Results: Through the combination of dynamic and static strategies, community managers promote resilience building from both short-term and long-term perspectives. Discussion: The study provides a valuable reference for comprehensively improving the emergency management system.

Indexed as

Disaster PlanningEmergenciesPublic HealthResilience, PsychologicalUrban PopulationBayes TheoremChinaHumansBayesian networkoptimization strategiespublic health emergenciesresilience metricsurban community resilience

Identifiers

PMID41179801
PMCPMC12571826

What OpenQuestion holds

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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.