ArticleIEEE access : practical innovations, open solutions2021
IoT Platform for COVID-19 Prevention and Control: A Survey.
Article in IEEE access : practical innovations, open solutions, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.
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The trial behind it
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Who cites it
20 citing papers in PubMed, 1 synthesis or guideline pooled it, 90 citations in OpenAlex.
- Digital Transformation and Open Innovation Planning of Response to COVID-19 Outbreak: A Systematic Literature Review and Future Research Agenda.International journal of environmental research and public health · 2023Pooled it
- IntelliScheduler: an edge-cloud computing environment hybrid deep learning framework for task scheduling based on learning.Scientific reports · 2026Article
- Overview of Respiratory Sensor Solutions to Support Patient Diagnosis and Monitoring.Sensors (Basel, Switzerland) · 2025Review
- IoT-based COVID-19 detection using recalling-enhanced recurrent neural network optimized with golden eagle optimization algorithm.Medical & biological engineering & computing · 2024Article
- An investigation into the use of smart home devices, user preferences, and impact during COVID-19.Computers in human behavior reports · 2023Article
- Intelligent Healthcare: Integration of Emerging Technologies and Internet of Things for Humanity.Sensors (Basel, Switzerland) · 2023Review
- A Survey on harnessing the Applications of Mobile Computing in Healthcare during the COVID-19 Pandemic: Challenges and Solutions.Computer networks · 2023Review
- Digital health in smart cities: Rethinking the remote health monitoring architecture on combining edge, fog, and cloud.Health and technology · 2023Article
- Computer-aided methods for combating Covid-19 in prevention, detection, and service provision approaches.Neural computing & applications · 2023Review
- An Improved IoT-Based System for Detecting the Number of People and Their Distribution in a Classroom.Sensors (Basel, Switzerland) · 2022Article
- Applications of cognitive internet of medical things in modern healthcare.Computers & electrical engineering : an international journal · 2022Article
- The role of contemporary digital tools and technologies in COVID-19 crisis: An exploratory analysis.Expert systems · 2022Article
- Anthropomorphic Robotic Eyes: Structural Design and Non-Verbal Communication Effectiveness.Sensors (Basel, Switzerland) · 2022Article
- IoT Platforms and Security: An Analysis of the Leading Industrial/Commercial Solutions.Sensors (Basel, Switzerland) · 2022Review
- THERMOD: Development of a Cost Effective Solution for Integrated Sensing and Logging.IEEE sensors journal · 2022Article
- Development of Advanced Artificial Intelligence and IoT Automation in the Crisis of COVID-19 Detection.Journal of healthcare engineering · 2022Review
- IoT-Enabled Framework for Early Detection and Prediction of COVID-19 Suspects by Leveraging Machine Learning in Cloud.Journal of healthcare engineering · 2022Article
- Internet of Things (IoT) Adoption Model for Early Identification and Monitoring of COVID-19 Cases: A Systematic Review.International journal of preventive medicine · 2022Review
- Impact of COVID-19 on IoT Adoption in Healthcare, Smart Homes, Smart Buildings, Smart Cities, Transportation and Industrial IoT.Sensors (Basel, Switzerland) · 2021Review
- Digital Technology-Based Telemedicine for the COVID-19 Pandemic.Frontiers in medicine · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
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 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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.