Evidence map›Paper›PMID 40813124›Full record

ArticleEpidemiology and infection2025

A fundamental limit to the effectiveness of traveller screening with molecular tests.

Kate Bubar, Casey Middleton, Daniel Larremore, Katelyn Gostic

Abstract read
In one paragraph

Article in Epidemiology and infection, 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

4 authors.

Kate BubarDepartment of Computer Science, https://ror.org/02ttsq026University of Colorado Boulder, Boulder, CO, USA.ORCID 0000-0002-1876-3132
Casey MiddletonDepartment of Computer Science, https://ror.org/02ttsq026University of Colorado Boulder, Boulder, CO, USA.
Daniel LarremoreDepartment of Computer Science, https://ror.org/02ttsq026University of Colorado Boulder, Boulder, CO, USA.
Katelyn GosticDepartment of Ecology and Evolution, https://ror.org/024mw5h28University of Chicago, Chicago, IL, USA.

Funding

EMERGING INFECTIOUS DISEASEST32AI007502 · NIAID · STANFORD UNIVERSITY · PI Prasanna Jagannathan, DAVID A. RELMAN · 1995 to 2026
$6.8M
National Science Foundation Graduate Research Fellowship Program DGE 1650115NIAID NIH HHS T32 AI007502
6 · The paper itself

Abstract

Despite the appeal of screening travellers to prevent case importation during infectious disease outbreaks, evidence shows that symptom screening is largely ineffective in delaying the geographical spread of infection. Molecular tests offer high sensitivity and specificity and can detect infections earlier than symptom screening, suggesting potential for improved outcomes. However, they were used to screen travellers for COVID-19 with mixed success. To investigate molecular screening's role in controlling COVID-19, and to quantify the effectiveness of screening for future pathogens of concern, we developed a probabilistic model that incorporates within-host viral kinetics. We then evaluated the potential effectiveness of screening travellers for influenza A, SARS-CoV-1, SARS-CoV-2, and Ebola virus. Even under highly optimistic assumptions, we found that the inability to detect recent infections always limits the effectiveness of traveller screening. We quantify this fundamental limit by proposing an estimator for the fraction of transmission that is preventable by screening. We also demonstrate that estimates of ascertainment overestimate reductions in transmission. These results highlight the essential role that quarantine and repeated testing play in infectious disease containment. Furthermore, our findings indicate that improving screening effectiveness requires the ability to detect infection much earlier than current state-of-the-art molecular tests.

Indexed as

COVID-19Mass ScreeningTravelEbolavirusHemorrhagic Fever, EbolaHumansInfluenza A virusInfluenza, HumanModels, StatisticalSARS-CoV-2COVID-19 testingmolecular diagnosticsprobabilistic modeltraveller screeningviral kinetics

Identifiers

PMID40813124
PMCPMC12394024

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.