ArticleIEEE access : practical innovations, open solutions2020
IoT in the Wake of COVID-19: A Survey on Contributions, Challenges and Evolution.
Article in IEEE access : practical innovations, open solutions, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
37 citing papers in PubMed, 1 synthesis or guideline pooled it, 172 citations in OpenAlex.
- A Survey on Machine Learning and Internet of Medical Things-Based Approaches for Handling COVID-19: Meta-Analysis.Frontiers in public health · 2022Pooled it
- Advances in IoT, AI, and Sensor-Based Technologies for Disease Treatment, Health Promotion, Successful Ageing, and Ageing Well.Sensors (Basel, Switzerland) · 2025Review
- Socioeconomic conditions exacerbated by the coronavirus in the Eastern Cape province of South Africa.Frontiers in public health · 2025Article
- Article
- Face mask identification with enhanced cuckoo optimization and deep learning-based faster regional neural network.Scientific reports · 2024Article
- Fog-based deep learning framework for real-time pandemic screening in smart cities from multi-site tomographies.BMC medical imaging · 2024Article
- Short- and Long-Term Predicted and Witnessed Consequences of Digital Surveillance During the COVID-19 Pandemic: Scoping Review.JMIR public health and surveillance · 2024Article
- IoT-based COVID-19 detection using recalling-enhanced recurrent neural network optimized with golden eagle optimization algorithm.Medical & biological engineering & computing · 2024Article
- Application of artificial intelligence (AI) to control COVID-19 pandemic: Current status and future prospects.Heliyon · 2024Review
- DNS for IoT: A Survey.Sensors (Basel, Switzerland) · 2023Article
- Towards an ML-based semantic IoT for pandemic management: A survey of enabling technologies for COVID-19.Neurocomputing · 2023Article
- COVICT: an IoT based architecture for COVID-19 detection and contact tracing.Journal of ambient intelligence and humanized computing · 2023Article
- Current Technologies for Detection of COVID-19: Biosensors, Artificial Intelligence and Internet of Medical Things (IoMT): Review.Sensors (Basel, Switzerland) · 2022Review
- The medical and societal impact of big data analytics and artificial intelligence applications in combating pandemics: A review focused on Covid-19.Social science & medicine (1982) · 2022Review
- Artificial intelligence-inspired comprehensive framework for Covid-19 outbreak control.Artificial intelligence in medicine · 2022Article
- Bayesian-based optimized deep learning model to detect COVID-19 patients using chest X-ray image data.Computers in biology and medicine · 2022Article
- A framework for information technology-based management against COVID-19 in Iran.BMC public health · 2022Article
- A Comprehensive Review of the Technological Solutions to Analyse the Effects of Pandemic Outbreak on Human Lives.Medicina (Kaunas, Lithuania) · 2022Review
- Deep GRU-CNN Model for COVID-19 Detection From Chest X-Rays Data.IEEE access : practical innovations, open solutions · 2022Article
- Covid19/IT the digital side of Covid19: A picture from Italy with clustering and taxonomy.PloS one · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 3 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The novel coronavirus (COVID-19), declared by the World Health Organization (WHO) as a global pandemic, has brought with it changes to the general way of life. Major sectors of the world industry and economy have been affected and the Internet of Things (IoT) management and framework is no exception in this regard. This article provides an up to date survey on how a global pandemic such as COVID-19 has affected the world of IoT technologies. It looks at the contributions that IoT and associated sensor technologies have made towards virus tracing, tracking and spread mitigation. The associated challenges of deployment of sensor hardware in the face of a rapidly spreading pandemic have been looked into as part of this review article. The effects of a global pandemic on the evolution of IoT architectures and management have also been addressed, leading to the likely outcomes on future IoT implementations. In general, this article provides an insight into the advancement of sensor-based E-health towards the management of global pandemics. It also answers the question of how a global virus pandemic has shaped the future of IoT networks.
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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.