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Article

Infection Spread and High-Resolution Detection of Close Contact Behaviors

1
Department of Mechanical Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong 999077, China
2
China Electric Power Planning & Engineering Institute, Beijing 100120, China
*
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2020, 17(4), 1445; https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph17041445
Received: 20 December 2019 / Revised: 15 February 2020 / Accepted: 20 February 2020 / Published: 24 February 2020
Knowledge of human behaviors is important for improving indoor-environment design, building-energy efficiency, and productivity, and for studies of infection spread. However, such data are lacking. In this study, we designed a device for detecting and recording, second by second, the 3D indoor positioning and head and body motions of each graduate student in an office. From more than 400 person hours of data. Students spent 92.2%, 4.1%, 2.9%, and 0.8% of their time in their own office cubicles, other office cubicles, aisles, and areas near public facilities, respectively. They spent 9.7% of time in close contact, and each student averagely had 4.0 close contacts/h. Students spent long time on close contact in the office which may lead to high infection risk. The average interpersonal distance during close contact was 0.81 m. When sitting, students preferred small relative face orientation angle. Pairs of standing students preferred a face-to-face orientation during close contact which means this pattern had a lower infection risk via close contact. Probability of close contact decreased exponentially with the increasing distance between two students’ cubicles. Data on human behaviour during close contact is helpful for infection risk analysis and infection control and prevention. View Full-Text
Keywords: infection spread and control; infection risk; human behavior; close contact; sensor-based; indoor environment; indoor positioning; head and body motion; open-plan office infection spread and control; infection risk; human behavior; close contact; sensor-based; indoor environment; indoor positioning; head and body motion; open-plan office
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MDPI and ACS Style

Zhang, N.; Su, B.; Chan, P.-T.; Miao, T.; Wang, P.; Li, Y. Infection Spread and High-Resolution Detection of Close Contact Behaviors. Int. J. Environ. Res. Public Health 2020, 17, 1445. https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph17041445

AMA Style

Zhang N, Su B, Chan P-T, Miao T, Wang P, Li Y. Infection Spread and High-Resolution Detection of Close Contact Behaviors. International Journal of Environmental Research and Public Health. 2020; 17(4):1445. https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph17041445

Chicago/Turabian Style

Zhang, Nan, Boni Su, Pak-To Chan, Te Miao, Peihua Wang, and Yuguo Li. 2020. "Infection Spread and High-Resolution Detection of Close Contact Behaviors" International Journal of Environmental Research and Public Health 17, no. 4: 1445. https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph17041445

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