ArticleDisaster medicine and public health preparedness2018
COPEWELL: A Conceptual Framework and System Dynamics Model for Predicting Community Functioning and Resilience After Disasters.
Article in Disaster medicine and public health preparedness, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.
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Who cites it
28 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Strengthening the relationship between community resilience and health emergency communication: a systematic review.BMC global and public health · 2024Pooled it
- Advancing resilience science through cross-domain integration: Proceedings of an NIH workshop.Neuroscience and biobehavioral reviews · 2026Review
- Evaluating emergency management capabilities and identifying their related factors for public health emergencies in China.BMC public health · 2026Article
- Research on the measurement of China's emergency management capabilities for public health emergencies and their driving factors.Frontiers in public health · 2026Article
- Pandemic Performance Measures of Resilience for Healthcare and Education in the Netherlands.The International journal of health planning and management · 2025Article
- Extreme weather and climate-related adverse childhood experiences are a humanitarian crisis during the 21st century.Communications medicine · 2025Review
- A CAS driven framework integrating entropy cloud and fuzzy cognitive map enhances disaster resilience in urban old communities.Scientific reports · 2025Article
- A community public health emergency resilience assessment framework based on contrastive learning and hyperbolic embedding.Frontiers in public health · 2025Article
- Measuring and optimizing the urban community resilience against public health emergencies: a case study in Nanjing, China.Frontiers in public health · 2025Article
- Scaling Interventions to Manage Chronic Disease: Innovative Methods at the Intersection of Health Policy Research and Implementation Science.Prevention science : the official journal of the Society for Prevention Research · 2024Article
- Cross-sector collaboration practitioners weigh-in on this special issue.Health services research · 2024Article
- Article
- Public health emergency preparedness for infectious disease emergencies: a scoping review of recent evidence.BMC public health · 2023Article
- Impact of epidemic outbreaks (COVID-19) on global supply chains: A case of trade between Turkey and China.Socio-economic planning sciences · 2023Article
- The interrelationship between food security, climate change, and gender-based violence: A scoping review with system dynamics modeling.PLOS global public health · 2023Article
- Uneven Growth in Social Capital Organizations After Disasters by Pre-Disaster Conditions in the United States 2000-2014.Disaster medicine and public health preparedness · 2022Article
- Analysis of Influencing Factors of Urban Community Function Loss in China under Flood Disaster Based on Social Network Analysis Model.International journal of environmental research and public health · 2022Article
- Toward data-driven, dynamical complex systems approaches to disaster resilience.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- The community resilience measurement throughout the COVID-19 pandemic and beyond -an empirical study based on data from Shanghai, Wuhan and Chengdu.International journal of disaster risk reduction : IJDRR · 2022Article
- Planning for suicide prevention in Thai refugee camps: Using community-based system dynamics modeling.Asian American journal of psychology · 2021Article
Corrections and comments
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Authors and funding
19 authors.
Funding
Abstract
objectivePolicy-makers and practitioners have a need to assess community resilience in disasters. Prior efforts conflated resilience with community functioning, combined resistance and recovery (the components of resilience), and relied on a static model for what is inherently a dynamic process. We sought to develop linked conceptual and computational models of community functioning and resilience after a disaster.
methodsWe developed a system dynamics computational model that predicts community functioning after a disaster. The computational model outputted the time course of community functioning before, during, and after a disaster, which was used to calculate resistance, recovery, and resilience for all US counties.
resultsThe conceptual model explicitly separated resilience from community functioning and identified all key components for each, which were translated into a system dynamics computational model with connections and feedbacks. The components were represented by publicly available measures at the county level. Baseline community functioning, resistance, recovery, and resilience evidenced a range of values and geographic clustering, consistent with hypotheses based on the disaster literature.
conclusionsThe work is transparent, motivates ongoing refinements, and identifies areas for improved measurements. After validation, such a model can be used to identify effective investments to enhance community resilience. (Disaster Med Public Health Preparedness. 2018;12:127-137).
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Registered trials
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.