IoT Platform for COVID-19 Prevention and Control: A Survey
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 low vaccination rates, this novel coronavirus results i...
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| Format: | Article |
| Language: | English |
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IEEE
2021-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/9383291/ |
| _version_ | 1818977526838460416 |
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| author | Yudi Dong Yu-Dong Yao |
| author_facet | Yudi Dong Yu-Dong Yao |
| author_sort | Yudi Dong |
| collection | DOAJ |
| description | 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 low vaccination rates, 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 community. This paper presents how the IoT could be incorporated into the epidemic prevention and control system. Specifically, we demonstrate a potential fog-cloud combined IoT platform that can be used in the systematic and intelligent COVID-19 prevention and control, which involves five interventions including COVID-19 Symptom Diagnosis, Quarantine Monitoring, Contact Tracing & Social Distancing, COVID-19 Outbreak Forecasting, and SARS-CoV-2 Mutation Tracking. We investigate and review the state-of-the-art literatures of these five interventions to present the capabilities of IoT in countering against the current COVID-19 pandemic or future infectious disease epidemics. |
| first_indexed | 2024-12-20T16:29:09Z |
| format | Article |
| id | doaj.art-621c391daa234b82b1c4ad6e160e3e8e |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-20T16:29:09Z |
| publishDate | 2021-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-621c391daa234b82b1c4ad6e160e3e8e2022-12-21T19:33:17ZengIEEEIEEE Access2169-35362021-01-019499294994110.1109/ACCESS.2021.30682769383291IoT Platform for COVID-19 Prevention and Control: A SurveyYudi Dong0https://orcid.org/0000-0001-6229-8541Yu-Dong Yao1https://orcid.org/0000-0003-3868-0593Department of Electrical and Computer Engineering, Stevens Institute of Technology, Hoboken, NJ, USADepartment of Electrical and Computer Engineering, Stevens Institute of Technology, Hoboken, NJ, USAAs 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 low vaccination rates, 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 community. This paper presents how the IoT could be incorporated into the epidemic prevention and control system. Specifically, we demonstrate a potential fog-cloud combined IoT platform that can be used in the systematic and intelligent COVID-19 prevention and control, which involves five interventions including COVID-19 Symptom Diagnosis, Quarantine Monitoring, Contact Tracing & Social Distancing, COVID-19 Outbreak Forecasting, and SARS-CoV-2 Mutation Tracking. We investigate and review the state-of-the-art literatures of these five interventions to present the capabilities of IoT in countering against the current COVID-19 pandemic or future infectious disease epidemics.https://ieeexplore.ieee.org/document/9383291/COVID-19SARS-CoV-2smart healthcareInternet of Thingsartificial intelligencebig data |
| spellingShingle | Yudi Dong Yu-Dong Yao IoT Platform for COVID-19 Prevention and Control: A Survey IEEE Access COVID-19 SARS-CoV-2 smart healthcare Internet of Things artificial intelligence big data |
| title | IoT Platform for COVID-19 Prevention and Control: A Survey |
| title_full | IoT Platform for COVID-19 Prevention and Control: A Survey |
| title_fullStr | IoT Platform for COVID-19 Prevention and Control: A Survey |
| title_full_unstemmed | IoT Platform for COVID-19 Prevention and Control: A Survey |
| title_short | IoT Platform for COVID-19 Prevention and Control: A Survey |
| title_sort | iot platform for covid 19 prevention and control a survey |
| topic | COVID-19 SARS-CoV-2 smart healthcare Internet of Things artificial intelligence big data |
| url | https://ieeexplore.ieee.org/document/9383291/ |
| work_keys_str_mv | AT yudidong iotplatformforcovid19preventionandcontrolasurvey AT yudongyao iotplatformforcovid19preventionandcontrolasurvey |