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Author:

Luo, Yingjie (Luo, Yingjie.) | Zhao, Fangli (Zhao, Fangli.) | Cao, Bing (Cao, Bing.) | Dou, Zhiyang (Dou, Zhiyang.) | Zhang, Nan (Zhang, Nan.) | Xiao, Shenglan (Xiao, Shenglan.)

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EI

Abstract:

Obtaining real-world data on close contact behaviors between dental staff and patients in clinics is of great significance for a comprehensive analysis of the pathogen transmission mechanism in this environment. We collected images of close contact behaviors between dental staff and patients during the diagnosis and treatment processes. The data were processed and identified through semi-supervision learning. Our findings revealed a relatively high incidence of close contact among personnel within dental clinics. Moreover, compared with nurses, the interpersonal distance between doctors and patients was significantly lower (P © 2024 18th Conference of the International Society of Indoor Air Quality and Climate, INDOOR AIR 2024 - Conference Program and Proceedings. All rights reserved.

Keyword:

Semi-supervised learning Self-supervised learning Patient treatment Diseases Indoor air pollution Diagnosis

Author Community:

  • [ 1 ] [Luo, Yingjie]School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen Campus, Shenzhen, China
  • [ 2 ] [Luo, Yingjie]School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou, China
  • [ 3 ] [Zhao, Fangli]School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen Campus, Shenzhen, China
  • [ 4 ] [Zhao, Fangli]School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou, China
  • [ 5 ] [Cao, Bing]Beijing Key Laboratory of Green Built Environment and Energy Efficient Technology, Beijing University of Technology, Beijing, China
  • [ 6 ] [Dou, Zhiyang]Department of Computer Science, The University of Hong Kong, Hong Kong
  • [ 7 ] [Zhang, Nan]Beijing Key Laboratory of Green Built Environment and Energy Efficient Technology, Beijing University of Technology, Beijing, China
  • [ 8 ] [Xiao, Shenglan]School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen Campus, Shenzhen, China
  • [ 9 ] [Xiao, Shenglan]School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou, China

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Year: 2024

Language: English

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ESI Highly Cited Papers on the List: 0 Unfold All

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30 Days PV: 7

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