IoT Platform for COVID-19 Prevention and Control: A Survey
Yudi Dong, Yu-Dong Yao

TL;DR
This survey explores how IoT platforms, especially fog-cloud systems, can support comprehensive COVID-19 prevention and control through symptom diagnosis, quarantine, contact tracing, forecasting, and mutation tracking.
Contribution
It reviews state-of-the-art IoT interventions for COVID-19 and proposes a fog-cloud based platform for systematic epidemic management.
Findings
IoT enhances epidemic monitoring and control capabilities.
Fog-cloud architecture supports real-time COVID-19 interventions.
The survey identifies key IoT applications for future infectious disease management.
Abstract
As a result of the worldwide transmission of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), coronavirus disease 2019 (COVID-19) has evolved into an unprecedented pandemic. Currently, with unavailable pharmaceutical treatments and vaccines, this novel coronavirus results in a great impact on public health, human society, and global economy, which is likely to last for many years. One of the lessons learned from the COVID-19 pandemic is that a long-term system with non-pharmaceutical interventions for preventing and controlling new infectious diseases is desirable to be implemented. Internet of things (IoT) platform is preferred to be utilized to achieve this goal, due to its ubiquitous sensing ability and seamless connectivity. IoT technology is changing our lives through smart healthcare, smart home, and smart city, which aims to build a more convenient and intelligent…
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