COPEWELL all-hazards resilience model predicts COVID-19 outcomes

Chen, Zhixi; Links, Jonathan M.; Igusa, Tak; Slemp, Catherine C.; Schoch-Spana, Monica; Burhans, Robert; Watson, Crystal R.; Long, Rex; Sell, Tara Kirk

doi:10.1016/j.ijdrr.2024.104414

International Journal of Disaster Risk Reduction

2024

DOI: 10.1016/j.ijdrr.2024.104414

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COPEWELL all-hazards resilience model predicts COVID-19 outcomes

Zhixi Chen,

Jonathan M. Links,

Tak Igusa

et al.

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Building forwards: Bibliometric analysis and framework construction for community resilience

Hu,

Yan,

Zhu

et al. 2024

Contingencies & Crisis Mgmt

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The occurrence of ‘black swan’ and ‘grey rhino’ events is creating new risks for communities, and building resilient communities has become a global consensus. Using the Bibliometrix tool, we collected 3146 articles published from 2000 to 2022 to explore research hotspots, change trends and future directions in community resilience. The results show that community resilience study exhibited an exponential development pattern, with periods of sluggish rise (2000–2009) and rapid growth (2010–2019). From 2020 to 2022, the average annual number of articles spiked to 484 due to the outbreak of COVID‐19. Scholars from the United States, China and the United Kingdom are the main contributors in this field, but the research locations are gradually shifting from the United States to the European and Asian countries. Hot topics related to community resilience include conceptual discernment, assessment frameworks, influencing factors and enhancement strategies. In the future, more attention should be given to the localization of theories, soft power elements and special groups. We developed a community resilience cycle framework that integrates the latest conceptual statement of community resilience and the evolution of trajectories of system disturbance stages.

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Building forwards: Bibliometric analysis and framework construction for community resilience

Hu,

Yan,

Zhu

et al. 2024

Contingencies & Crisis Mgmt

View full text Add to dashboard Cite

show abstract

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COPEWELL all-hazards resilience model predicts COVID-19 outcomes

Cited by 1 publication

References 36 publications

Building forwards: Bibliometric analysis and framework construction for community resilience

Building forwards: Bibliometric analysis and framework construction for community resilience

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