Evidence map›Paper›PMID 35447713›Full record

ReviewBioengineering (Basel, Switzerland)2022

COVID-19 Diagnosis: A Review of Rapid Antigen, RT-PCR and Artificial Intelligence Methods.

Raphael Taiwo Aruleba, Tayo Alex Adekiya, Nimibofa Ayawei, George Obaido, Kehinde Aruleba, Ibomoiye Domor Mienye, Idowu Aruleba, Blessing Ogbuokiri

Abstract readReview
In one paragraph

Review in Bioengineering (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Diagnostic and Prognostic Value of SCUBE-1 in COVID-19 Patients.The western journal of emergency medicine · 2024
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Recent progress on rapid diagnosis of COVID-19 by point-of-care testing platforms.Chinese chemical letters = Zhongguo hua xue kuai bao · 2023
    Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
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

8 authors.

Raphael Taiwo ArulebaDepartment of Molecular and Cell Biology, Faculty of Science, University of Cape Town, Cape Town 7701, South Africa.ORCID 0000-0003-0879-344X
Tayo Alex AdekiyaDepartment of Pharmacy and Pharmacology, School of Therapeutic Science, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, 7 York Road, Parktown 2193, South Africa.ORCID 0000-0002-3382-9080
Nimibofa AyaweiDepartment of Chemistry, Bayelsa Medical University, Yenagoa PMB 178, Bayelsa State, Nigeria.
George ObaidoDepartment of Computer Science and Engineering, University of California, San Diego, La Jolla, CA 92093-0404, USA.ORCID 0000-0001-5049-9522
Kehinde ArulebaSchool of Computing and Mathematical Sciences, University of Leicester, Leicester LE1 7RH, UK.ORCID 0000-0003-3422-7046
Ibomoiye Domor MienyeDepartment of Electrical and Electronic Engineering Science, University of Johannesburg, Johannesburg 2006, South Africa.ORCID 0000-0001-9353-8894
Idowu ArulebaDepartment of Electrical and Electronic Engineering Science, University of Johannesburg, Johannesburg 2006, South Africa.
Blessing OgbuokiriDepartment of Mathematics and Statistics, York University, Toronto, ON M3J 1P3, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As of 27 December 2021, SARS-CoV-2 has infected over 278 million persons and caused 5.3 million deaths. Since the outbreak of COVID-19, different methods, from medical to artificial intelligence, have been used for its detection, diagnosis, and surveillance. Meanwhile, fast and efficient point-of-care (POC) testing and self-testing kits have become necessary in the fight against COVID-19 and to assist healthcare personnel and governments curb the spread of the virus. This paper presents a review of the various types of COVID-19 detection methods, diagnostic technologies, and surveillance approaches that have been used or proposed. The review provided in this article should be beneficial to researchers in this field and health policymakers at large.

Indexed as

artificial intelligenceCOVID-19deep learningmachine learningmolecular diagnosisSARS-CoV-2

Identifiers

PMID35447713
PMCPMC9024895

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.