Human behavior-driven epidemic surveillance in urban landscapes

This study introduce a surveillance strategy specifically designed for urban areas to enhance preparedness and response to disease outbreaks by leveraging the unique characteristics of human behavior within urban contexts. By integrating data on individual residences and travel patterns, it construct a Mixing matrix that facilitates the identification of critical pathways that ease pathogen transmission across urban landscapes enabling targeted testing strategies. This approach not only enhances public health systems' ability to provide early epidemiological alerts but also underscores the variability in strategy effectiveness based on urban layout.

The main outputs of this study include demonstrating the feasibility of mobility-informed policies by mapping essential mobility links to major transit stations. The findings show that allocating a limited number of resources to specific stations is more effective for surveillance than non-targeted approaches. This study highlights the critical importance of integrating human behavioral patterns into epidemic management strategies to enhance the preparedness and resilience of major cities against future outbreaks.