COPEWELL: A Conceptual Framework and System Dynamics Model for Predicting Community Functioning and Resilience After Disasters Article Swipe
Jonathan M. Links
,
Brian S. Schwartz
,
Sen Lin
,
Norma Kanarek
,
Judith Mitrani‐Reiser
,
Tara Kirk Sell
,
Crystal Watson
,
Doug Ward
,
Cathy Slemp
,
Robert Burhans
,
Kimberly Gill
,
Takeru Igusa
,
Xilei Zhao
,
Benigno E. Aguirre
,
Joseph Trainor
,
Joanne M. Nigg
,
Thomas V. Inglesby
,
Eric G. Carbone
,
James Kendra
·
YOU?
·
· 2017
· Open Access
·
· DOI: https://doi.org/10.1017/dmp.2017.39
YOU?
·
· 2017
· Open Access
·
· DOI: https://doi.org/10.1017/dmp.2017.39
Objective Policy-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. Methods We 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. Results The 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. Conclusions The 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)
Related Topics
Concepts
Community resilience
Resilience (materials science)
Preparedness
Conceptual model
Resistance (ecology)
Process (computing)
System dynamics
Computer science
Process management
Environmental resource management
Risk analysis (engineering)
Political science
Engineering
Business
Environmental science
Artificial intelligence
Resource (disambiguation)
Ecology
Law
Biology
Physics
Computer network
Thermodynamics
Database
Operating system
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1017/dmp.2017.39
- OA Status
- green
- Cited By
- 114
- References
- 41
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2682027893
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W2682027893Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1017/dmp.2017.39Digital Object Identifier
- Title
-
COPEWELL: A Conceptual Framework and System Dynamics Model for Predicting Community Functioning and Resilience After DisastersWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2017Year of publication
- Publication date
-
2017-06-21Full publication date if available
- Authors
-
Jonathan M. Links, Brian S. Schwartz, Sen Lin, Norma Kanarek, Judith Mitrani‐Reiser, Tara Kirk Sell, Crystal Watson, Doug Ward, Cathy Slemp, Robert Burhans, Kimberly Gill, Takeru Igusa, Xilei Zhao, Benigno E. Aguirre, Joseph Trainor, Joanne M. Nigg, Thomas V. Inglesby, Eric G. Carbone, James KendraList of authors in order
- Landing page
-
https://doi.org/10.1017/dmp.2017.39Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://www.ncbi.nlm.nih.gov/pmc/articles/8743042Direct OA link when available
- Concepts
-
Community resilience, Resilience (materials science), Preparedness, Conceptual model, Resistance (ecology), Process (computing), System dynamics, Computer science, Process management, Environmental resource management, Risk analysis (engineering), Political science, Engineering, Business, Environmental science, Artificial intelligence, Resource (disambiguation), Ecology, Law, Biology, Physics, Computer network, Thermodynamics, Database, Operating systemTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
114Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 18, 2024: 21, 2023: 13, 2022: 28, 2021: 13Per-year citation counts (last 5 years)
- References (count)
-
41Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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