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The importance of indoor human mobility in the transmission dynamics ofrespiratory infectious diseases has been acknowledged. Previous studies havepredominantly addressed a single type of mobility behavior such as queueing anda series of behaviors under specific scenarios. However, these studies ignorethe abstraction of mobility behavior in various scenes and the criticalexamination of how these abstracted behaviors impact disease propagation. Toaddress these problems, this study considers people's mobility behaviors in ageneral scenario, abstracting them into two main categories: crowding behavior,related to the spatial aspect, and stopping behavior, related to the temporalaspect. Accordingly, this study investigates their impacts on disease spreadingand the impact of individual spatio-temporal distribution resulting from thesemobility behaviors on epidemic transmission. First, a point of interest (POI)method is introduced to quantify the crowding-related spatial POI factors(i.e., the number of crowdings and the distance between crowdings) andstopping-related temporal POI factors (i.e., the number of stoppings and theduration of each stopping). Besides, a personal space determined with Voronoidiagrams is used to construct the individual spatio-temporal distributionfactor. Second, two indicators (i.e., the daily number of new cases and theaverage exposure risk of people) are applied to quantify epidemic transmission.These indicators are derived from a fundamental model which accurately predictsdisease transmission between moving individuals. Third, a set of 200 indoorscenarios is constructed and simulated to help determine variable values.Concurrently, the influences and underlying mechanisms of these behavioralfactors on disease transmission are examined using structural equation modelingand causal inference modeling

Impact of Indoor Mobility Behavior on the Respiratory Infectious Diseases Transmission Trends