An IoT-Based COVID-19 Prevention and Control System for Enclosed Spaces

Cunwei Yang, Weiqing Wang, Fengying Li and Degang Yang
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Cunwei Yang: Department of Computer Science and Technology, Southwest University, Chongqing 402460, China
Weiqing Wang: Department of Management Science and Engineering, Southwest University, Chongqing 402460, China
Fengying Li: Department of Environmental Science, Nanjing University of Information Science and Technology, Nanjing 210044, China
Degang Yang: University of Chinese Academy of Sciences, Beijing 100049, China

Future Internet, 2022, vol. 14, issue 2, 1-19

Abstract: To date, the protracted pandemic caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has had widespread ramifications for the economy, politics, public health, etc. Based on the current situation, definitively stopping the spread of the virus is infeasible in many countries. This does not mean that populations should ignore the pandemic; instead, normal life needs to be balanced with disease prevention and control. This paper highlights the use of Internet of Things (IoT) for the prevention and control of coronavirus disease (COVID-19) in enclosed spaces. The proposed booking algorithm is able to control the gathering of crowds in specific regions. K-nearest neighbors (KNN) is utilized for the implementation of a navigation system with a congestion control strategy and global path planning capabilities. Furthermore, a risk assessment model is designed based on a “Sliding Window-Timer” algorithm, providing an infection risk assessment for individuals in potential contact with patients.

Keywords: Internet of Things; indoor navigation; COVID-19 pandemic; epidemiology investigation (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2022
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