Ontology highlight
ABSTRACT: 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 separa
SUBMITTER: Links JM
PROVIDER: S-EPMC8743042 | biostudies-literature | 2018 Feb
REPOSITORIES: biostudies-literature