Evidence map›Paper›PMID 32388333›Full record

ReviewDiabetes & metabolic syndrome

Internet of things (IoT) applications to fight against COVID-19 pandemic.

Ravi Pratap Singh, Mohd Javaid, Abid Haleem, Rajiv Suman

Abstract readReview
In one paragraph

Review in Diabetes & metabolic syndrome. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 120 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
120citing papers in PubMed, 8 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

120 citing papers in PubMed, 8 syntheses or guidelines pooled it.

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  18. DNS for IoT: A Survey.Sensors (Basel, Switzerland) · 2023
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60 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Ravi Pratap SinghDepartment of Industrial and Production Engineering, Dr B R Ambedkar National Institute of Technology, Jalandhar, Punjab, India. Electronic address: singhrp@nitj.ac.in.
Mohd JavaidDepartment of Mechanical Engineering, Jamia Millia Islamia, New Delhi, India. Electronic address: mjavaid@jmi.ac.in.
Abid HaleemDepartment of Mechanical Engineering, Jamia Millia Islamia, New Delhi, India. Electronic address: ahaleem@jmi.ac.in.
Rajiv SumanDepartment of Industrial & Production Engineering, G.B. Pant University of Agriculture & Technology, Pantnagar, Uttarakhand, India. Electronic address: raje.suman@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimThe current global challenge of COVID-19 pandemic has surpassed the provincial, radical, conceptual, spiritual, social, and pedagogical boundaries. Internet of Things (IoT) enabled healthcare system is useful for proper monitoring of COVID-19 patients, by employing an interconnected network. This technology helps to increase patient satisfaction and reduces readmission rate in the hospital.

methodsSearched the databases of Google Scholar, PubMed, SCOPUS and ResearchGate using the keywords "Internet of things" or "IoT" and "COVID-19". Further inputs are also taken from blogs and relevant reports.

resultsIoT implementation impacts on reducing healthcare cost and improve treatment outcome of the infected patient. Therefore, this present study based research is attempted to explore, discuss, and highlight the overall applications of the well-proven IoT philosophy by offering a perspective roadmap to tackle the COVID-19 pandemic. Finally, twelve significant applications of IoT are identified and discussed. It has ultimately forced the researchers, academicians, and scientists to propose some productive solutions to overcome or confront this pandemic.

conclusionsIoT is helpful for an infected patient of COVID-19 to identify symptoms and provides better treatment rapidly. It is useful for patient, physician, surgeon and hospital management system.

Indexed as

BetacoronavirusClinical Laboratory TechniquesCoronavirus InfectionsCOVID-19COVID-19 Drug TreatmentCOVID-19 TestingDelivery of Health CareHumansInfection ControlInternet of ThingsPandemicsPneumonia, ViralSARS-CoV-2CoronavirusCOVID-19Internet of thingsIoT applicationsPandemic

Identifiers

PMID32388333
PMCPMC7198990

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.