Internet of Things (IoT) adoption model for early identification and monitoring of COVID-19 cases: a systematic review (Preprint)
BACKGROUND The 2019 Coronavirus disease (COVID-19) is a mysterious and highly infectious disease which was declared a pandemic by the World Health Organization (WHO). The virus poses a great threat for global health and economy. Currently, in the absence of effective treatment or vaccine, leveraging advanced digital technologies is of great importance. OBJECTIVE In this respect, Internet of Things (IoT) is useful for smart monitoring and tracing of COVID-19. Therefore, in this study, we have reviewed the literature available on the IoT-enabled solutions to tackle the current COVID-19 outbreak. METHODS This Systematic Literature Review (SLR) was conducted an electronic search of articles in the PubMed, Google Scholar, ProQuest, Scopus, Science direct, and Web of Science (WOS) databases to formulate a complete view the IoT enabled solutions to monitoring and tracing of COVID-19 according FITT model (Fit between Individual, Task, and Technology). RESULTS In the literature review, 28 articles were identified as eligible studies for analysis. This review will provide an overview of technological adoption of IoT in COVID-19 to identify significant users either primary or secondary, required technologies including technical platform, exchange, processing, storage and added value technologies and system tasks or applications in “on-body”, “in-clinic/hospital” and even “in-community” levels. CONCLUSIONS The use of IoT along with advanced intelligent and computing technologies for ubiquitous monitoring and tracking of patients in quarantine has made it a critical aspect in fighting the spread of current COVID-19 and even future pandemics.