associated professor of the School of Mathematics, South China University of Technology, Guangzhou 510641, PR China

The internet of things (IoT) is a fast-growing technology that interconnects devices, homes, hospitals, facilities, and other locations together for faster transmission of data and communication. The present critical situation which is the coronavirus disease (COVID-19 ) outbreak. This pandemic has caused a lot of economic meltdowns coupled with instabilities and loss of lives worldwide. Several types of research and technologies have been implemented to tackle this pandemic. This study describes the vital steps to follow in IoT technology and the emerging advances it offers for rapid response to the COVID-19 outbreak in order to save lives and to put an end to the pandemic. Some key threats surrounding the IoT technology were highlighted in this study, however, if coped and implemented appropriately, rapid prevention of infection, monitoring of infected and suspected patients, treatment of infected patients, and forecasting of adequate solutions for a better environment is assured. Furthermore,Analysis of Variance (ANOVA) algorithm was used to fetch relevant information, and k-nearest neighbor (k-NN) was used as a classifier to predict the performance of the COVID-19 Iot data system obtained from San Francisco University. An accuracy of 79.17% was achieved. Therefore, this study will be proficient especially for clinicians in making decisions in the post COVID era. [ABSTRACT FROM AUTHOR] Copyright of Engineering Letters is the property of Newswood Limited and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)