Literature DB >> 32102305

Infection Spread and High-Resolution Detection of Close Contact Behaviors.

Nan Zhang1, Boni Su2, Pak-To Chan1, Te Miao1, Peihua Wang1, Yuguo Li1.   

Abstract

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.

Entities:  

Keywords:  close contact; head and body motion; human behavior; indoor environment; indoor positioning; infection risk; infection spread and control; open-plan office; sensor-based

Year:  2020        PMID: 32102305     DOI: 10.3390/ijerph17041445

Source DB:  PubMed          Journal:  Int J Environ Res Public Health        ISSN: 1660-4601            Impact factor:   3.390


  9 in total

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4.  Close contact behavior-based COVID-19 transmission and interventions in a subway system.

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5.  A Comparison of Infection Venues of COVID-19 Case Clusters in Northeast China.

Authors:  Pengcheng Zhao; Nan Zhang; Yuguo Li
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7.  Research in Health-Emergency and Disaster Risk Management and Its Potential Implications in the Post COVID-19 World.

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8.  Quantifying SARS-CoV-2 Infection Risk Within the Google/Apple Exposure Notification Framework to Inform Quarantine Recommendations.

Authors:  Amanda M Wilson; Nathan Aviles; James I Petrie; Paloma I Beamer; Zsombor Szabo; Michelle Xie; Janet McIllece; Yijie Chen; Young-Jun Son; Sameer Halai; Tina White; Kacey C Ernst; Joanna Masel
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9.  Close proximity risk assessment for SARS-CoV-2 infection.

Authors:  G Cortellessa; L Stabile; F Arpino; D E Faleiros; W van den Bos; L Morawska; G Buonanno
Journal:  Sci Total Environ       Date:  2021-06-30       Impact factor: 7.963

  9 in total

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