Mapping spatial colleague connectivity patterns from individual-level registry data to inform regional pandemic interventions

2026-02-20 infectious diseases Title + abstract only

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A concern in infectious disease modelling is how accurately population mixing is incorporated, as it shapes the type and frequency of contacts through which infection spreads, and consequently, estimated intervention effectiveness. Although synthesizing mixing patterns from diary-based surveys is an established framework, geographical information is poorly or sparsely captured. Here we propose a generalizable workflow to quantify geographical connectivity from job registry data covering over 8 m...

Mapping spatial colleague connectivity patterns from individual-level registry data to inform regional pandemic interventions

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