Evidence map›Paper›PMID 39755414›Full record

ArticleThe Lancet. Public health2025

The SARS-CoV-2 test scale-up in the USA: an analysis of the number of tests produced and used over time and their modelled impact on the COVID-19 pandemic.

Steven Santos, Matthew Humbard, Anastasia S Lambrou, Gary Lin, Yamil Padilla, Jasmine Chaitram, Muktha S Natrajan, Hannah L Kirking, Sean Courtney, Kim Del Guercio and 5 more

Abstract read
In one paragraph

Article in The Lancet. Public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
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  3. Independent Testing to Accelerate the Development of Lateral Flow Assays for Influenza A, Influenza B and SARS-COV-2.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2026
    Article
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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

15 authors.

Steven SantosThe Administration for Strategic Preparedness and Response, Washington, DC, USA. Electronic address: steven.santos@hhs.gov.
Matthew HumbardThe Administration for Strategic Preparedness and Response, Washington, DC, USA.
Anastasia S LambrouUS Centers for Disease Control and Prevention, Atlanta, GA, USA.
Gary LinThe Johns Hopkins University Applied Physics Laboratory, Laurel, MD, USA.
Yamil PadillaThe Johns Hopkins University Applied Physics Laboratory, Laurel, MD, USA.
Jasmine ChaitramUS Centers for Disease Control and Prevention, Atlanta, GA, USA.
Muktha S NatrajanUS Centers for Disease Control and Prevention, Atlanta, GA, USA.
Hannah L KirkingUS Centers for Disease Control and Prevention, Atlanta, GA, USA; US Public Health Service, Washington, DC, USA.
Sean CourtneyUS Centers for Disease Control and Prevention, Atlanta, GA, USA.
Kim Del GuercioDeloitte Consulting, Arlington, VA, USA.
Seth RobertsThe MITRE Corporation, McLean, VA, USA.
Fraser GasparThe MITRE Corporation, McLean, VA, USA.
Michael F IademarcoUS Centers for Disease Control and Prevention, Atlanta, GA, USA; US Public Health Service, Washington, DC, USA.
Joseph HamelThe Administration for Strategic Preparedness and Response, Washington, DC, USA.
Reynolds M SalernoUS Centers for Disease Control and Prevention, Atlanta, GA, USA.

Funding

Intramural NIH HHS Z99 EB999999
6 · The paper itself

Abstract

backgroundRapid, accessible, and accurate testing was paramount to an effective US COVID-19 response. Federal partners supported SARS-CoV-2 testing scale-up through an interagency-coordinated approach that focused on expanding supply chains, research and development, validation, and improving patient access. We aimed to provide an overview of the federal efforts to scale up the testing response and study the impact of scale-up.

methodsIn this descriptive analysis, we mapped federal partner activities and milestones using the US Government Testing and Diagnostics Working Group (TDWG) and participating agency and department data from Jan 1, 2020, to Dec 31, 2022. Tests produced (TDWG), reported test positivity (US Centers for Disease Control and Prevention [CDC]'s COVID-19 Electronic Laboratory Reporting system and the Federal Direct Report testing data), reported COVID-19 case counts (CDC), hospitalisations (Department of Health and Human Services Unified Hospital Data Surveillance System and the CDC's National Healthcare Safety Network), and deaths (CDC) were analysed over time. We then developed an agent-based model to evaluate the impact testing had on COVID-19 outcomes using different scenarios. The scenarios were (1) if efforts led to substantially fewer tests produced, (2) if scale-up was delayed, affecting test access, and (3) if efforts led to substantially more tests produced.

findingsApproximately 6·7 billion SARS-CoV-2 tests, including over 1·5 billion laboratory-based, 1·9 billion point-of-care (POC), and 3·2 billion over-the-counter (OTC) tests, were produced, and approximately 2·7 billion tests were performed between Jan 1, 2020, and Dec 31, 2022. Testing capacity exhibited various expansion phases, with laboratory-based capacity growing from approximately 6 million tests per month in March, 2020 to approximately 34 million tests per month in July, 2020; POC increased to approximately 126 million tests per month by December, 2020, and OTC increased to approximately 986 million tests per month by February, 2022. Comparison between the baseline (actual) and delay-in-testing scenario suggests the increased testing capacity potentially saved upwards of 1·4 million lives and averted 7 million hospitalisations.

interpretationOur study suggests that early development, manufacturing, and distribution of tests had a great impact on reducing severe COVID-19 outcomes. These results highlight the importance of robust and rapid test development, production, and distribution when addressing future public health threats.

fundingUS Administration for Strategic Preparedness and Response and US Centers for Disease Control and Prevention.

Indexed as

COVID-19COVID-19 TestingHumansPandemicsUnited States

Identifiers

PMID39755414
PMCPMC11962762

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.