Evidence map›Paper›PMID 33568738›Full record

ArticleScientific reports2021

Pooled testing with replication as a mass testing strategy for the COVID-19 pandemics.

Julius Žilinskas, Algirdas Lančinskas, Mario R Guarracino

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. COVID-19 Outbreak in a Military Unit in Korea.Epidemiology and health · 2021
    Article
  10. Detection of SARS-CoV-2 through pool testing for COVID-19: an integrative review.Revista da Sociedade Brasileira de Medicina Tropical · 2021
    Review
  11. Considerations for Pooled Testing of Employees for SARS-CoV-2.Journal of occupational and environmental medicine · 2021
    Article
  12. Article
  13. Mass Testing and Proactiveness Affect Epidemic Spreading.Journal of the Indian Institute of Science · 2021
    Review
  14. 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

3 authors.

Julius ŽilinskasInstitute of Data Science and Digital Technologies, Vilnius University, Vilnius, Lithuania. julius.zilinskas@mif.vu.lt.
Algirdas LančinskasInstitute of Data Science and Digital Technologies, Vilnius University, Vilnius, Lithuania.
Mario R GuarracinoHSE - National Research University Higher School of Economics, LATNA Laboratory, Nizhny Novgorod, Russia.

Funding

Basic Research Program at the National Research University Higher School of Economics (HSE) RFFI grant
6 · The paper itself

Abstract

During the COVID-19 pandemic it is essential to test as many people as possible, in order to detect early outbreaks of the infection. Present testing solutions are based on the extraction of RNA from patients using oropharyngeal and nasopharyngeal swabs, and then testing with real-time PCR for the presence of specific RNA filaments identifying the virus. This approach is limited by the availability of reactants, trained technicians and laboratories. One of the ways to speed up the testing procedures is a group testing, where the swabs of multiple patients are grouped together and tested. In this paper we propose to use the group testing technique in conjunction with an advanced replication scheme in which each patient is allocated in two or more groups to reduce the total numbers of tests and to allow testing of even larger numbers of people. Under mild assumptions, a 13 ×  average reduction of tests can be achieved compared to individual testing without delay in time.

Indexed as

COVID-19COVID-19 TestingHumansPandemicsReal-Time Polymerase Chain ReactionRNA, ViralSARS-CoV-2RNA, Viral

Identifiers

PMID33568738
PMCPMC7876015

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.