Evidence map›Paper›PMID 32244841›Full record

ArticleDiagnostics (Basel, Switzerland)2020

Blockchain and Artificial Intelligence Technology for Novel Coronavirus Disease-19 Self-Testing.

Tivani P Mashamba-Thompson, Ellen Debra Crayton

Abstract readEditorial
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 3 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

46 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Applications of Blockchain in the Medical Field: Narrative Review.Journal of medical Internet research · 2021
    Pooled it
  3. Pooled it
  4. Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Blockchain-Cloud Integration: A Survey.Sensors (Basel, Switzerland) · 2022
    Review
  14. Article
  15. Article
  16. Article
  17. Blockchain for SME Clusters: An Ideation using the Framework of Ostrom Commons Governance.Information systems frontiers : a journal of research and innovation · 2022
    Article
  18. Article
  19. Article
  20. Blockchain for COVID-19: a comprehensive review.Personal and ubiquitous computing · 2021
    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

2 authors.

Tivani P Mashamba-ThompsonDepartment of Public Health, University of Limpopo, Polokwane, Limpopo Province 0727, South Africa.
Ellen Debra CraytonGenesis Technology and Management Group, (GenesisTMG, LLC), Bethesda, MD 20817, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The novel coronavirus disease 19 (COVID-19) is rapidly spreading with a rising death toll and transmission rate reported in high income countries rather than in low income countries. The overburdened healthcare systems and poor disease surveillance systems in resource-limited settings may struggle to cope with this COVID-19 outbreak and this calls for a tailored strategic response for these settings. Here, we recommend a low cost blockchain and artificial intelligence-coupled self-testing and tracking systems for COVID-19 and other emerging infectious diseases. Prompt deployment and appropriate implementation of the proposed system have the potential to curb the transmissions of COVID-19 and the related mortalities, particularly in settings with poor access to laboratory infrastructure.

Indexed as

artificial intelligenceblockchainnovel coronavirus disease-19self-testing

Identifiers

PMID32244841
PMCPMC7235895

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.