Evidence map›Paper›PMID 33023039›Full record

ReviewSensors (Basel, Switzerland)2020

A Review of the State of the Art in Non-Contact Sensing for COVID-19.

William Taylor, Qammer H Abbasi, Kia Dashtipour, Shuja Ansari, Syed Aziz Shah, Arslan Khalid, Muhammad Ali Imran

Open access · goldAbstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
0.1field-weighted citation impact, top 49% 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

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 1 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Noncontact Sensors for Vital Signs Measurement: A Narrative Review.Medical science monitor : international medical journal of experimental and clinical research · 2024
    Review
  6. Co-Infection between Dengue Virus and SARS-CoV-2 in Cali, Colombia.The American journal of tropical medicine and hygiene · 2023
    Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Review
  20. 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

7 authors at 2 institutions in 1 country.

William TaylorJames Watt School of Engineering, University of Glasgow, Glasgow G12 8QQ, UK.
Qammer H AbbasiJames Watt School of Engineering, University of Glasgow, Glasgow G12 8QQ, UK.ORCID 0000-0002-7097-9969
Kia DashtipourJames Watt School of Engineering, University of Glasgow, Glasgow G12 8QQ, UK.ORCID 0000-0002-9651-6487
Shuja AnsariJames Watt School of Engineering, University of Glasgow, Glasgow G12 8QQ, UK.
Syed Aziz ShahCentre for Intelligent Healthcare, Coventry University, Coventry CV1 5RW, UK.
Arslan KhalidJames Watt School of Engineering, University of Glasgow, Glasgow G12 8QQ, UK.
Muhammad Ali ImranJames Watt School of Engineering, University of Glasgow, Glasgow G12 8QQ, UK.ORCID 0000-0003-4743-9136
University of Glasgow · GBIntelligent Health (United Kingdom) · GB

Funding

British Telecommunications EP/T021063/1CENSIS UK EPSRC DTG EP/N509668/1 EngScottish Funding Council EP/T021020/1
6 · The paper itself

Abstract

COVID-19, caused by SARS-CoV-2, has resulted in a global pandemic recently. With no approved vaccination or treatment, governments around the world have issued guidance to their citizens to remain at home in efforts to control the spread of the disease. The goal of controlling the spread of the virus is to prevent strain on hospitals. In this paper, we focus on how non-invasive methods are being used to detect COVID-19 and assist healthcare workers in caring for COVID-19 patients. Early detection of COVID-19 can allow for early isolation to prevent further spread. This study outlines the advantages and disadvantages and a breakdown of the methods applied in the current state-of-the-art approaches. In addition, the paper highlights some future research directions, which need to be explored further to produce innovative technologies to control this pandemic.

Indexed as

Clinical Laboratory TechniquesCoronavirus InfectionsCOVID-19COVID-19 TestingHumansLungPandemicsPneumonia, ViralThermographyTomography, X-Ray ComputedUltrasonographyAICOVID-19disease diagnosticsMLpopulation healthSars-Cov-2sensing

Identifiers

PMID33023039
PMCPMC7582943
OpenAlexW3088054949

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.