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Title:

COPEWELL: A conceptual framework and system dynamics model for predicting community functioning and resilience after disasters

Authors:
Jonathan M. Links, Brian S. Schwartz, Sen Lin, Norma Kanarek, Judith Mitrani-Reiser, Tara Kirk Sell, Crystal R. Watson, Doug Ward, Cathy Slemp, Robert Burhans, Kimberly Gill, Tak Igusa, Xilei Zhao, Benigno Aguirre, Joseph Trainor, Joanne Nigg, Thomas Inglesby, Eric Carbone and James M. Kendra
Date posted:
June 21, 2017
Publication type:
Article
Publication:

Disaster Medicine and Public Health Preparedness

Publisher:
Society for Disaster Medicine and Public Health, Inc.
DOI:
https://doi.org/10.1017/dmp.2017.39
Availability:
Available on Publisher Website
See also:
Introduction:

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.

 

 

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