Study on IoT for SARS-CoV-2 with healthcare: present and future perspective
Open accessAbstract
The ever-evolving and contagious nature of the Coronavirus (COVID-19) has immobilized the world around us. As the daily number of infected cases increases, the containment of the spread of this virus is proving to be an overwhelming task. Healthcare facilities around the world are overburdened with an ominous responsibility to combat an ever-worsening scenario. To aid the healthcare system, Internet of Things (IoT) technology provides a better solution—tracing, testing of COVID patients efficiently is gaining rapid pace. This study discusses the role of IoT technology in healthcare during the SARS-CoV-2 pandemics. The study overviews different research, platforms, services, products where IoT is used to combat the COVID-19 pandemic. Further, we intelligently integrate IoT and healthcare for COVID-19 related applications. Again, we focus on a wide range of IoT applications in regards to SARS-CoV-2 tracing, testing, and treatment. Finally, we effectively consider further challenges, issues, and some direction regarding IoT in order to uplift the healthcare system during COVID-19 and future pandemics.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Security in healthcare systems can be provided using SDN, Blockchain, and NFV.
“So, the security could be given utilizing SDN, Blockchain, NFV, etc [237, 238].”
From Federated learning-based AI approaches in smart healthcare: Concepts, taxonomies, challenges and open issues (2023) · cites this paper as [238]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
The citation lists haven’t been fetched yet
References 118 · Cited by 22
Part of this paper’s reference list could not be split into single entries.
- Authors
- Rahman, A., Department of Computer Science and Engineering, N. I. O. T. E. A. R. (., Rahman, M., Kundu, D., Karim, M. R., Band, S. S., Sookhak, M., Department of Computer Science and Engineering, M. B. S. A. T. U., Department of Electrical and Electronic Engineering, N. I. O. T. E. A. R. (., Future Technology Research Center, C. O. F., & Dept. of Computer Science, T. A. &. M. U.-C. C.
- Affiliations
- University of Dhaka (BD)
- Mawlana Bhashani Science and Technology University (BD)
- National Yunlin University of Science and Technology (TW)
- Corresponding author
- Sookhak, Mehdi
- Venue
- Mathematical Biosciences and Engineering
- Published
- 2021
- Volume
- 18
- Issue
- 6
- Pages
- 9697-9726
- ISSN
- 1547-1063 (ISSN-L)
- 1551-0018
- OpenAlex
- W3213478542
- Cited by
- 22
- References
- 118
- Citations by year
- 2026: 1 · 2025: 1 · 2024: 9 · 2023: 4 · 2022: 7
- FWCI
- 0.76
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by-nc-sa
- Locations
- Mathematical Biosciences & Engineering (publishedVersion, cc-by-nc-sa)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Physical Sciences › Computer Science › Information Systems › Internet of Things and AI
- Physical Sciences › Computer Science › Information Systems › Healthcare during COVID-19 Pandemic
- Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
- Keywords
- Internet of Things, COVID-19 pandemic, SARS-CoV-2, medical applications, contact tracing, COVID-19 testing, remote patient monitoring, pandemic response, healthcare burden
- MeSH terms
- Internet of Things, COVID-19, SARS-CoV-2, Delivery of Health Care, Humans, Pandemics
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
