Modeling indoor-level non-pharmaceutical interventions during the COVID-19 pandemic: a pedestrian dynamics-based microscopic simulation approach
Yao Xiao, Mofeng Yang, Zheng Zhu, Hai Yang, Lei Zhang, Sepehr, Ghader

TL;DR
This paper introduces a pedestrian-based epidemic model to evaluate indoor non-pharmaceutical interventions during COVID-19, highlighting the importance of entry limitations and dwell time management for effective control.
Contribution
It develops a novel microscopic simulation approach that accounts for dynamic physical distancing and empirical travel behaviors in indoor epidemic modeling.
Findings
Entry limitations effectively reduce infection risks.
Restrictions on travel frequency and open hours have mixed effects.
Increasing dwell time can offset reduced travel frequencies.
Abstract
Mathematical modeling of epidemic spreading has been widely adopted to estimate the threats of epidemic diseases (i.e., the COVID-19 pandemic) as well as to evaluate epidemic control interventions. The indoor place is considered to be a significant epidemic spreading risk origin, but existing widely-used epidemic spreading models are usually limited for indoor places since the dynamic physical distance changes between people are ignored, and the empirical features of the essential and non-essential travel are not differentiated. In this paper, we introduce a pedestrian-based epidemic spreading model that is capable of modeling indoor transmission risks of diseases during people's social activities. Taking advantage of the before-and-after mobility data from the University of Maryland COVID-19 Impact Analysis Platform, it's found that people tend to spend more time in grocery stores once…
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