Examining resilience of disaster response system in response to COVID-19

We examine the COVID-19 response in China by conceptualizing resilience from the complex adaptive system perspective, including a discussion of the factors contributing to the resilience of the disaster response system. Methodologically, a network-based model was employed to describe the disaster response system. In addition to a traditional network analysis, the dynamics network analysis was conducted to assess the evolution of the disaster response system with a time slice analysis. This study presents theoretical and practical contributions to the field of disaster management by utilizing the complex adaptive system perspective and investigating contextspecific resilience of a disaster response system.

Automated summary

This study examines the resilience of China's COVID-19 response system from a complex adaptive system perspective, utilizing network-based models and dynamic network analysis to assess the system's evolution. It provides theoretical and practical contributions to disaster management by investigating context-specific resilience of the disaster response system.