ArticleSN computer science2021
An Enhanced IoT Based Tracing and Tracking Model for COVID -19 Cases.
Article in SN computer science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
8 citing papers in PubMed.
- Critical care resources in surge response: towards real-time situation awareness.Journal of the Royal Society of New Zealand · 2025Article
- A Survey on harnessing the Applications of Mobile Computing in Healthcare during the COVID-19 Pandemic: Challenges and Solutions.Computer networks · 2023Review
- A smartphone-based zero-effort method for mitigating epidemic propagation.EURASIP journal on advances in signal processing · 2023Article
- An IoT-Based Wristband for Automatic People Tracking, Contact Tracing and Geofencing for COVID-19.Sensors (Basel, Switzerland) · 2022Article
- Sheet, Surveillance, Strategy, Salvage and Shield in global biodefense system to protect the public health and tackle the incoming pandemics.The Science of the total environment · 2022Review
- Artificial intelligence-inspired comprehensive framework for Covid-19 outbreak control.Artificial intelligence in medicine · 2022Article
- Cross-Validation Comparison of COVID-19 Forecast Models.SN computer science · 2021Article
- AIoT Used for COVID-19 Pandemic Prevention and Control.Contrast media & molecular imaging · 2021Review
Corrections and comments
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Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The COVID-19 pandemic has alarmed the world nations to impose strict curfews and emergencies to prevent the social transmission of the disease. In order to achieve this, effective Tracing and Tracking of the suspected COVID-19 cases need to be achieved. In view of the enormous number of cases being recorded each day, this process couldn't be performed effectively with simple manual tracing. Hence, we have proposed an Internet of Things (IoT) based automated Tracing and Tracking method for identification of the possible contacts with deployment of cost-effective RFID Tags and the mobile of the individuals which act as a reader. Thereby, tracing of persons who have crossed the subject would be possible even without the knowledge of the suspected cases. This would enable cent percent quarantine of possible primary and secondary contacts and monitoring of the same by the administrative agencies. This would augment the nations' capability of managing the pandemic.
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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.