Evidence map›Paper›PMID 41708165›Full record

ArticleBMJ open2026

Effect of containment strategies for respiratory diseases on infections imported via international travel to the USA: a modelling study.

Satoshi Koiso, Hannah Lee, Andrea L Ciaranello, Kenneth A Freedberg, Edward T Ryan, Mohammad S Jalali, Regina C LaRocque, Emily P Hyle

Abstract read
In one paragraph

Article in BMJ open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Satoshi KoisoMedical Practice Evaluation Center, Boston, Massachusetts, USA.ORCID http://orcid.org/0000-0001-7542-1801
Hannah LeeMassachusetts General Hospital Institute for Technology Assessment, Boston, Massachusetts, USA.
Andrea L CiaranelloMedical Practice Evaluation Center, Boston, Massachusetts, USA.
Kenneth A FreedbergMedical Practice Evaluation Center, Boston, Massachusetts, USA.
Edward T RyanHarvard Medical School, Boston, Massachusetts, USA.
Mohammad S JalaliMassachusetts General Hospital Institute for Technology Assessment, Boston, Massachusetts, USA.ORCID http://orcid.org/0000-0001-6769-2732
Regina C LaRocqueHarvard Medical School, Boston, Massachusetts, USA.
Emily P HyleMedical Practice Evaluation Center, Boston, Massachusetts, USA EHYLE@mgh.harvard.edu.ORCID http://orcid.org/0000-0001-8721-106X

Funding

NCEZID CDC HHS U01 CK000490NCEZID CDC HHS U01 CK000633
6 · The paper itself

Abstract

objectivesTo examine outcomes from respiratory pathogens containment strategies focused on international travellers.

designWe developed a compartmental model generalisable to respiratory infectious diseases, in which international travellers interact with each other and airline/airport workers during transit. We used SARS-CoV-2 Omicron surge data (basic reproduction number (R SETTINGS: A US high-volume airport.

participantsSimulated international travellers and airline/airport workers.

interventionsProjection of new and imported SARS-CoV-2 infections without intervention ( OUTCOME MEASURES: The number of new and imported respiratory disease infections over the 90-day simulation period.

resultsOver the 90-day simulation, the number of infected travellers entering the USA would be: 1 155 580 (27.2% of 4.2 million (M) intended travellers) with

conclusionsA

Indexed as

Communicable Disease ControlCommunicable Diseases, ImportedCOVID-19Respiratory Tract InfectionsTravelAirportsHumansMasksSARS-CoV-2United StatesCOVID-19Decision MakingHealth policyRespiratory infections

Identifiers

PMID41708165
PMCPMC12918698

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.