Evidence map›Paper›PMID 34640901›Full record

ReviewSensors (Basel, Switzerland)2021

COVID-19 Testing and Diagnostics: A Review of Commercialized Technologies for Cost, Convenience and Quality of Tests.

Ashler Benda, Lukas Zerajic, Ankita Ankita, Erin Cleary, Yunsoo Park, Santosh Pandey

Open access · goldAbstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
3.0field-weighted citation impact, top 7% 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

29 citing papers in PubMed, 50 citations in OpenAlex.

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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

6 authors at 1 institution in 1 country.

Ashler BendaDepartment of Electrical and Computer Engineering, Iowa State University, Ames, IA 50011, USA.ORCID 0000-0003-4144-2211
Lukas ZerajicDepartment of Electrical and Computer Engineering, Iowa State University, Ames, IA 50011, USA.
Ankita AnkitaDepartment of Electrical and Computer Engineering, Iowa State University, Ames, IA 50011, USA.
Erin ClearyDepartment of Electrical and Computer Engineering, Iowa State University, Ames, IA 50011, USA.
Yunsoo ParkDepartment of Electrical and Computer Engineering, Iowa State University, Ames, IA 50011, USA.
Santosh PandeyDepartment of Electrical and Computer Engineering, Iowa State University, Ames, IA 50011, USA.ORCID 0000-0002-4577-8567
Iowa State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Population-scale and rapid testing for SARS-CoV-2 continues to be a priority for several parts of the world. We revisit the in vitro technology platforms for COVID-19 testing and diagnostics-molecular tests and rapid antigen tests, serology or antibody tests, and tests for the management of COVID-19 patients. Within each category of tests, we review the commercialized testing platforms, their analyzing systems, specimen collection protocols, testing methodologies, supply chain logistics, and related attributes. Our discussion is essentially focused on test products that have been granted emergency use authorization by the FDA to detect and diagnose COVID-19 infections. Different strategies for scaled-up and faster screening are covered here, such as pooled testing, screening programs, and surveillance testing. The near-term challenges lie in detecting subtle infectivity profiles, mapping the transmission dynamics of new variants, lowering the cost for testing, training a large healthcare workforce, and providing test kits for the masses. Through this review, we try to understand the feasibility of universal access to COVID-19 testing and diagnostics in the near future while being cognizant of the implicit tradeoffs during the development and distribution cycles of new testing platforms.

Indexed as

COVID-19COVID-19 TestingHumansMass ScreeningSARS-CoV-2Technologyat home testCOVID-19 diagnostic testFDA authorized test kitmass testingrapid antigen testSARS-CoV-2 detectionserology testuniversal access

Identifiers

PMID34640901
PMCPMC8512798
OpenAlexW3202444030

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.