Evidence map›Paper›PMID 32382213›Full record

ArticleSafety science2020

The scientific literature on Coronaviruses, COVID-19 and its associated safety-related research dimensions: A scientometric analysis and scoping review.

Milad Haghani, Michiel C J Bliemer, Floris Goerlandt, Jie Li

Open access · hybridAbstract readScoping Review
In one paragraph

Article in Safety science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 79 papers.

0numbers the graph read from it
0cells of the map it votes in
79citing papers in PubMed
72.6field-weighted citation impact, top 1% of its field
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

79 citing papers in PubMed, 267 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Trends in Robotics Research in Occupational Safety and Health: A Scientometric Analysis and Review.International journal of environmental research and public health · 2023
    Review
  6. Article
  7. Article
  8. Nexus between drivers of COVID-19 and country risks.Socio-economic planning sciences · 2023
    Article
  9. Impact of COVID-19 on distance learning practical design courses.International journal of technology and design education · 2023
    Article
  10. Article
  11. COVID-19-The Role of Artificial Intelligence, Machine Learning, and Deep Learning: A Newfangled.Archives of computational methods in engineering : state of the art reviews · 2023
    Review
  12. Article
  13. Evolution Model and Simulation Study of the Public Risk Perception of COVID-19.International journal of environmental research and public health · 2022
    Article
  14. Article
  15. Article
  16. Article
  17. A visual review of artificial intelligence and Industry 4.0 in healthcare.Computers & electrical engineering : an international journal · 2022
    Article
  18. Article
  19. Article
  20. Article

19 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 at 3 institutions in 3 countries.

Milad HaghaniInstitute of Transport and Logistics Studies, The University of Sydney Business School, The University of Sydney, NSW, Australia.
Michiel C J BliemerInstitute of Transport and Logistics Studies, The University of Sydney Business School, The University of Sydney, NSW, Australia.
Floris GoerlandtDalhousie University, Department of Industrial Engineering, Halifax, Nova Scotia B3H 4R2, Canada.
Jie LiDepartment of Safety Science and Engineering, School of Ocean Science and Engineering, Shanghai Maritime University, China.
University of Sydney · AUDalhousie University · CAShanghai Maritime University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 global pandemic has generated an abundance of research quickly following the outbreak. Within only a few months, more than a thousand studies on this topic have already appeared in the scientific literature. In this short review, we analyse the bibliometric aspects of these studies on a macro level, as well as those addressing Coronaviruses in general. Furthermore, through a scoping analysis of the literature on COVID-19, we identify the main safety-related dimensions that these studies have thus far addressed. Our findings show that across various research domains, and apart from the medical and clinical aspects such as the safety of vaccines and treatments, issues related to patient transport safety, occupational safety of healthcare professionals, biosafety of laboratories and facilities, social safety, food safety, and particularly mental/psychological health and domestic safety have thus far attracted most attention of the scientific community in relation to the COVID-19 pandemic. Our analysis also uncovers various potentially significant safety problems caused by this global health emergency which currently have attracted only limited scientific focus but may warrant more attention. These include matters such as cyber safety, economic safety, and supply-chain safety. These findings highlight why, from an academic research perspective, a holistic interdisciplinary approach and a collective scientific effort is required to help understand and mitigate the various safety impacts of this crisis whose implications reach far beyond the bio-medical risks. Such holistic safety-scientific understanding of the COVID-19 crisis can furthermore be instrumental to be better prepared for a future pandemic.

Indexed as

2019-nCovCOVID-19Novel coronavirusSafety

Identifiers

PMID32382213
PMCPMC7203062
OpenAlexW3022605724

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.