The COPEWELL (Composite of Post-Event Well-being) model is a conceptual and computational system dynamics framework designed to predict community resilience in the face of natural and man-made disasters. It distinguishes two core dimensions of resilience: resistance (the ability to withstand disruption without significant loss of function) and recovery (the rate at which function is restored over time). By capturing the complex interdependencies among infrastructure, social systems, and health domains, the model simulates the time course of community functioning after a disruptive event. Its outputs help identify specific factors that influence both resistance and recovery, thereby guiding strategic planning to enhance overall resilience.
COPEWELL – Community Resilience Modeling
Summary
Related Publications
-
- Chen Z, Links JM, Igusa T, Slemp CC, Schoch-Spana M, Burhans R, Watson CR, Long R, Sell TK. COPEWELL all-hazards resilience model predicts COVID-19 outcomes. International Journal of Disaster Risk Reduction. 2024 May 1;106:104414. https://www.sciencedirect.com/science/article/pii/S2212420924001766
- Kanarek NF, Wang Q, Igusa T, Sell TK, Cox ZA, Kendra JM, Links J. Flood-Related Federally Declared Disaster Events and Community Functioning (COPEWELL). Climate. 2022 Oct 23;10(11):159. https://www.mdpi.com/2225-1154/10/11/159
- Slemp CC, Sisco S, Jean MC, Ahmed MS, Kanarek NF, Erös-Sarnyai M, Gonzalez IA, Igusa T, Lane K, Tirado FP, Tria M, Lin S, Martins VN, Ravi S, Kendra JM, Carbone EG, Links JM. Applying an Innovative Model of Disaster Resilience at the Neighborhood Level: The COPEWELL New York City Experience. Public Health Rep. 2020 Sep/Oct;135(5):565–570. doi: 10.1177/0033354920938012. https://journals.sagepub.com/doi/abs/10.1177/0033354920938012
- Links JM, Schwartz BS, Lin S, Kanarek N, Mitrani-Reiser J, Sell TK, Watson CR, Ward D, Slemp C, Burhans R, Gill K, Igusa T, Zhao X, Aguirre B, Trainor J, Nigg J, Inglesby T, Carbone E, Kendra JM. COPEWELL: A Conceptual Framework and System Dynamics Model for Predicting Community Functioning and Resilience After Disasters. Disaster Medicine and Public Health Preparedness. 2017:1–11. https://www.cambridge.org/core/journals/disaster-medicine-and-public-health-preparedness/article/copewell-a-conceptual-framework-and-system-dynamics-model-for-predicting-community-functioning-and-resilience-after-disasters/61A75E17B3D48D2E8141539054896DAF
- Chen Z, Links JM, Igusa T, Slemp CC, Schoch-Spana M, Burhans R, Watson CR, Long R, Sell TK. COPEWELL all-hazards resilience model predicts COVID-19 outcomes. International Journal of Disaster Risk Reduction. 2024 May 1;106:104414. https://www.sciencedirect.com/science/article/pii/S2212420924001766
External Researchers
Jon Links (JHSPH)
Funding Agencies
Collaborating Agencies
