%J IEEE Access
%L scholars15942
%O cited By 64
%R 10.1109/ACCESS.2021.3050193
%D 2021
%X The recent outbreak of the novel Coronavirus Disease (COVID-19) has given rise to diverse health issues due to its high transmission rate and limited treatment options. Almost the whole world, at some point of time, was placed in lock-down in an attempt to stop the spread of the virus, with resulting psychological and economic sequela. As countries start to ease lock-down measures and reopen industries, ensuring a healthy workplace for employees has become imperative. Thus, this paper presents a mobile app-based intelligent portable healthcare (pHealth) tool, called i WorkSafe, to assist industries in detecting possible suspects for COVID-19 infection among their employees who may need primary care. Developed mainly for low-end Android devices, the i WorkSafe app hosts a fuzzy neural network model that integrates data of employees' health status from the industry's database, proximity and contact tracing data from the mobile devices, and user-reported COVID-19 self-test data. Using the built-in Bluetooth low energy sensing technology and K Nearest Neighbor and K-means techniques, the app is capable of tracking users' proximity and trace contact with other employees. Additionally, it uses a logistic regression model to calculate the COVID-19 self-test score and a Bayesian Decision Tree model for checking real-time health condition from an intelligent e-health platform for further clinical attention of the employees. Rolled out in an apparel factory on 12 employees as a test case, the pHealth tool generates an alert to maintain social distancing among employees inside the industry. In addition, the app helps employees to estimate risk with possible COVID-19 infection based on the collected data and found that the score is effective in estimating personal health condition of the app user. © 2013 IEEE.
%K Computer viruses; Decision trees; Fuzzy neural networks; Health risks; Locks (fasteners); Logistic regression; mHealth; Nearest neighbor search; Risk perception; Statistical tests; Viruses, Bluetooth low energies (BTLE); Contact-tracing data; Fuzzy neural network model; High transmission rate; Industrial settings; K-nearest neighbors; Logistic Regression modeling; Sensing technology, Personnel
%P 13814-13828
%I Institute of Electrical and Electronics Engineers Inc.
%A M. Shamim Kaiser
%A M. Mahmud
%A M.B.T. Noor
%A N.Z. Zenia
%A S.A. Mamun
%A K.M. Abir Mahmud
%A S. Azad
%A V.N. Manjunath Aradhya
%A P. Stephan
%A T. Stephan
%A R. Kannan
%A M. Hanif
%A T. Sharmeen
%A T. Chen
%A A. Hussain
%V 9
%T IWorksafe: Towards Healthy Workplaces during COVID-19 with an Intelligent Phealth App for Industrial Settings