Evidence map›Paper›PMID 35692256›Full record

ArticleMaterials today. Proceedings2022

Application of industry 4.0 technology in containing Covid-19 spread and its challenges.

K P Paranitharan, G Ebenezer, Venkataraman Balaji, M Adham Khan, T Ramesh Babu

Abstract read
In one paragraph

Article in Materials today. Proceedings, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. Review
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

5 authors.

K P ParanitharanDepartment of Corporate Planning Cell, TVS Sensing Solutions Private Limited, Madurai 625122, India.
G EbenezerDepartment of Mechanical Engineering, Kalasalingam Academy of Research and Education, Krishnankoil 626128, India.
Venkataraman BalajiDepartment of Corporate Planning Cell, TVS Sensing Solutions Private Limited, Madurai 625122, India.
M Adham KhanDepartment of Mechanical Engineering, Kalasalingam Academy of Research and Education, Krishnankoil 626128, India.
T Ramesh BabuDepartment of Industrial Engineering, College of Engineering Guindy, Anna University, Chennai 600025, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The pandemic of Covid-19, an epidemic outbreak created many challenges and increased the demand for medical equipments, medicines, and related accessories and most of them had to be imported from abroad. The advanced information technology (Industry 4.0) was considered imperative to track and monitor the spread of the SARS-2 Virus that is Covid-19. A detailed review of literature is done to understand the challenges and the remedial action taken so far during the Covid-19 epidemic outbreak had been gone through using appropriate search engines and databases like Google-search, Science Direct, Scopus, Research Gate, and relevant blogs. The case reports were also considered in this study. We have found ten significant challenges (barriers) and identified several useful technology of industry 4.0 to control and manage the Covid-19 pandemic. This research paper is an attempt to examine and discuss the application of 4.0 technologies in containing the pandemic outbreak. Ten challenges were identified and those could be overcome by promptly applying appropriate technologies of industry 4.0 to control the spread of virus. These technologies help to educate and communicate the public and make them aware of the hazardous attack of Covid-19 virus when properly used.

Indexed as

Covid-19EpidemicHealthcareIndustry 4.0IOTPandemic

Identifiers

PMID35692256
PMCPMC9167917

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.