Evidence map›Paper›PMID 32336562›Full record

ReviewThe Science of the total environment2020

Restructured society and environment: A review on potential technological strategies to control the COVID-19 pandemic.

Rajvikram Madurai Elavarasan, Rishi Pugazhendhi

Abstract readReview
In one paragraph

Review in The Science of the total environment, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
71citing 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

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

  1. Digital imaging, technologies and artificial intelligence applications during COVID-19 pandemic.Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society · 2021
    Pooled it
  2. Pooled it
  3. Article
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  9. An overview for biomedical waste management during pandemic like COVID-19.International journal of environmental science and technology : IJEST · 2023
    Review
  10. Article
  11. Article
  12. AI for COVID-19 Detection from Radiographs: Incisive Analysis of State of the Art Techniques, Key Challenges and Future Directions.Ingenierie et recherche biomedicale : IRBM = Biomedical engineering and research · 2022
    Review
  13. Transport policy · 2022
    Article
  14. Article
  15. Article
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  17. Article
  18. Lockdowns and Physical Activities: Sports in the Time of COVID.International journal of environmental research and public health · 2022
    Review
  19. An analysis of international use of robots for COVID-19.Robotics and autonomous systems · 2022
    Article
  20. Review

11 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

2 authors.

Rajvikram Madurai ElavarasanDepartment of Electrical and Electronics Engineering, Sri Venkateswara College of Engineering, Chennai 602117, India. Electronic address: rajvikram787@gmail.com.
Rishi PugazhendhiDepartment of Mechanical Engineering, Sri Venkateswara College of Engineering, Chennai 602117, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The emergence of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) in China at December 2019 had led to a global outbreak of coronavirus disease 2019 (COVID-19) and the disease started to spread all over the world and became an international public health issue. The entire humanity has to fight in this war against the unexpected and each and every individual role is important. Healthcare system is doing exceptional work and the government is taking various measures that help the society to control the spread. Public, on the other hand, coordinates with the policies and act accordingly in most state of affairs. But the role of technologies in assisting different social bodies to fight against the pandemic remains hidden. The intention of our study is to uncover the hidden roles of technologies that ultimately help for controlling the pandemic. On investigating, it is found that the strategies utilizing potential technologies would yield better benefits and these technological strategies can be framed either to control the pandemic or to support the confinement of the society during pandemic which in turn aids in controlling the spreading of infection. This study enlightens the various implemented technologies that assists the healthcare systems, government and public in diverse aspects for fighting against COVID-19. Furthermore, the technological swift that happened during the pandemic and their influence in the environment and society is discussed. Besides the implemented technologies, this work also deals with untapped potential technologies that have prospective applications in controlling the pandemic circumstances. Alongside the various discussion, our suggested solution for certain situational issues is also presented.

Indexed as

Coronavirus InfectionsPandemicsPneumonia, ViralBetacoronavirusChinaCOVID-19HumansProspective StudiesSARS-CoV-2Artificial intelligenceCOVID-19EnvironmentHealthcare systemSocietyTechnology

Identifiers

PMID32336562
PMCPMC7180041

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.