Evidence map›Paper›PMID 32344370›Full record

ArticleDiabetes & metabolic syndrome

Industry 4.0 technologies and their applications in fighting COVID-19 pandemic.

Mohd Javaid, Abid Haleem, Raju Vaishya, Shashi Bahl, Rajiv Suman, Abhishek Vaish

Abstract read
In one paragraph

Article in Diabetes & metabolic syndrome. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 127 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
127citing papers in PubMed, 2 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

127 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  11. Artificial intelligence-based orthopaedic perpetual design.Journal of clinical orthopaedics and trauma · 2024
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67 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

6 authors.

Mohd JavaidDepartment of Mechanical Engineering, Jamia Millia Islamia, New Delhi, India. Electronic address: mohdjavaid0786@gmail.com.
Abid HaleemDepartment of Mechanical Engineering, Jamia Millia Islamia, New Delhi, India. Electronic address: haleem.abid@gmail.com.
Raju VaishyaDepartment of Orthopaedics, Indraprastha Apollo Hospital, SaritaVihar Mathura Road, 110076, New Delhi, India. Electronic address: raju.vaishya@gmail.com.
Shashi BahlDepartment of Mechanical Engineering, I. K. Gujral Punjab Technical University Hoshiarpur Campus, Hoshiarpur, Punjab, India. Electronic address: bahl.ptu2010@gmail.com.
Rajiv SumanDepartment of Industrial & Production Engineering, G.B. Pant University of Agriculture & Technology, Pantnagar, Uttarakhand, India. Electronic address: raje.suman@gmail.com.
Abhishek VaishDepartment of Orthopaedics, Indraprastha Apollo Hospital, SaritaVihar, Mathura Road, 110076, New Delhi, India. Electronic address: https://www.researchgate.net/profile/Abhishek_Vaish5.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimsCOVID 19 (Coronavirus) pandemic has created surge demand for essential healthcare equipment, medicines along with the requirement for advance information technologies applications. Industry 4.0 is known as the fourth industrial revolution, which has the potential to fulfil customised requirement during COVID-19 crisis. This revolution has started with the applications of advance manufacturing and digital information technologies.

methodsA detailed review of the literature is done on the technologies of Industry 4.0 and their applications in the COVID-19 pandemic, using appropriate search words on the databases of PubMed, SCOPUS, Google Scholar and Research Gate.

resultsWe found several useful technologies of Industry 4.0 which help for proper control and management of COVID-19 pandemic and these have been discussed in this paper. The available technologies of Industry 4.0 could also help the detection and diagnosis of COVID-19 and other related problems and symptoms.

conclusionsIndustry 4.0 can fulfil the requirements of customised face masks, gloves, and collect information for healthcare systems for proper controlling and treating of COVID-19 patients. We have discussed ten major technologies of Industry 4.0 which help to solve the problems of this virus. It is useful to provide day to day update of an infected patient, area-wise, age-wise and state-wise with proper surveillance systems. We also believe that the proper implementation of these technologies would help to enhance education and communication regarding public health. These Industry 4.0 technologies could provide a lot of innovative ideas and solution for fighting local and global medical emergencies.

Indexed as

Patient Education as TopicBetacoronavirusBiotechnologyClinical Laboratory TechniquesCoronavirus InfectionsCOVID-19COVID-19 Drug TreatmentCOVID-19 TestingDelivery of Health CareHumansInfection ControlInformation TechnologyPandemicsPatient CarePneumonia, ViralPublic HealthAssistive technologiesCoronavirusCOVID-19Industry 4.0InformationMedical

Identifiers

PMID32344370
PMCPMC7180383

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.