Evidence map›Paper›PMID 40823008›Full record

ArticleHealth affairs scholar2025

A policy roadmap for sustainable mass-testing.

Sergey N Krylov, Svetlana M Krylova, An T H Le, Seyed M Moghadas, Amin Mawani, Nima Tabatabaei, Manos Papagelis, Peter Tsasis, Mary E Wiktorowicz, R Shayna Rosenbaum

Abstract read
In one paragraph

Article in Health affairs scholar, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

10 authors.

Sergey N KrylovCentre for Research on Biomolecular Interactions, York University, Toronto, Canada M3J 1P3.ORCID https://orcid.org/0000-0003-3270-2130
Svetlana M KrylovaCentre for Research on Biomolecular Interactions, York University, Toronto, Canada M3J 1P3.ORCID https://orcid.org/0000-0002-3291-6721
An T H LeCentre for Research on Biomolecular Interactions, York University, Toronto, Canada M3J 1P3.ORCID https://orcid.org/0000-0002-3659-9938
Seyed M MoghadasAgent-Based Modelling Laboratory, York University, Toronto, Canada M3J 1P3.ORCID https://orcid.org/0000-0003-4414-0227
Amin MawaniSchulich School of Business, York University, Toronto, Canada M3J 1P3.ORCID https://orcid.org/0000-0003-2054-7487
Nima TabatabaeiDepartment of Mechanical Engineering, York University, Toronto, Canada M3J 1P3.ORCID https://orcid.org/0000-0002-0329-4855
Manos PapagelisDepartment of Electrical Engineering and Computer Science, York University, Toronto, Canada M3J 1P3.ORCID https://orcid.org/0000-0003-0138-2541
Peter TsasisSchool of Health Policy and Management, York University, Toronto, Canada M3J 1P3.ORCID https://orcid.org/0000-0002-8611-7378
Mary E WiktorowiczSchool of Health Policy and Management, York University, Toronto, Canada M3J 1P3.ORCID https://orcid.org/0000-0001-7539-2043
R Shayna RosenbaumDepartment of Psychology, York University, Toronto, Canada M3J 1P3.ORCID https://orcid.org/0000-0001-5328-8675

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Population-wide mass testing with affordable self-tests can drastically reduce lives lost and minimize economic and societal costs during pandemics, especially if deployed before vaccines. During COVID-19, however, the development of self-test manufacturing and distribution capacity lagged behind vaccine rollout and was dismantled once surges subsided, returning us to a prepandemic state. As no new capacity has since been secured, future mass-testing would again face costly delays. To mitigate this risk, we propose a policy roadmap for an economically viable mass-testing system that can be sustained between crises and rapidly scaled during emergencies. Public investment in R&D to improve the sensitivity of affordable self-tests-not to achieve a single benchmark, but to advance point-of-need technologies across medical and nonmedical applications-is essential. Improved sensitivity would enable new uses in routine health screening, food safety, and environmental monitoring, generating steady demand and production capacity that can expand as needed. This demand would support a robust system anchored by four mutually reinforcing pillars: scalable manufacturing, real-time data infrastructure, predictive analytics, and sustainable financing. Prioritizing sensitivity can transform mass testing from a reactive measure into a durable public health foundation.

Indexed as

decentralized testing infrastructurediagnostic sensitivityeconomic sustainability of mass testingmass testingpandemic preparedness policypoint-of-need testing technologies

Identifiers

PMID40823008
PMCPMC12352306

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.