Evidence map›Paper›PMID 32170017›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2020

Impact of international travel and border control measures on the global spread of the novel 2019 coronavirus outbreak.

Chad R Wells, Pratha Sah, Seyed M Moghadas, Abhishek Pandey, Affan Shoukat, Yaning Wang, Zheng Wang, Lauren A Meyers, Burton H Singer, Alison P Galvani

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 249 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
249citing papers in PubMed, 6 pooled it
–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

249 citing papers in PubMed, 6 syntheses or guidelines pooled it.

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  16. Comparative evaluation of behavioral epidemic models using COVID-19 data.Proceedings of the National Academy of Sciences of the United States of America · 2025
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189 more citing papers are in PubMed but not listed here.

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.

Chad R WellsCenter for Infectious Disease Modeling and Analysis, Yale School of Public Health, New Haven, CT 06520.ORCID 0000-0003-1370-8350
Pratha SahCenter for Infectious Disease Modeling and Analysis, Yale School of Public Health, New Haven, CT 06520.
Seyed M MoghadasAgent-Based Modelling Laboratory, York University, Toronto, ON M3J 1P3, Canada.
Abhishek PandeyCenter for Infectious Disease Modeling and Analysis, Yale School of Public Health, New Haven, CT 06520.
Affan ShoukatCenter for Infectious Disease Modeling and Analysis, Yale School of Public Health, New Haven, CT 06520.
Yaning WangState Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, 100101 Beijing, China.ORCID 0000-0001-8982-5604
Zheng WangDepartment of Biostatistics, Yale School of Public Health, New Haven, CT 06510.ORCID 0000-0002-8849-8549
Lauren A MeyersDepartment of Integrative Biology, The University of Texas at Austin, Austin, TX 78712.
Burton H SingerEmerging Pathogens Institute, University of Florida, Gainesville, FL 32610 bhsinger@epi.ufl.edu.
Alison P GalvaniCenter for Infectious Disease Modeling and Analysis, Yale School of Public Health, New Haven, CT 06520.

Funding

Impacts of Individual and Social Behavior on Influenza Dynamics and ControlU01GM087719 · NIGMS · YALE UNIVERSITY · PI GALVANI, ALISON P, MEYERS, LAUREN ANCEL · 2009 to 2018
$6.3M
Accelerating viral outbreak detection in US cities using mechanistic models, machine learning and diverse geospatial dataR01AI151176 · NIAID · YALE UNIVERSITY · PI GALVANI, ALISON P, MEYERS, LAUREN ANCEL · 2020 to 2024
$3.9M
NIAID NIH HHS R01 AI151176NIGMS NIH HHS U01 GM087719
6 · The paper itself

Abstract

The novel coronavirus outbreak (COVID-19) in mainland China has rapidly spread across the globe. Within 2 mo since the outbreak was first reported on December 31, 2019, a total of 566 Severe Acute Respiratory Syndrome (SARS CoV-2) cases have been confirmed in 26 other countries. Travel restrictions and border control measures have been enforced in China and other countries to limit the spread of the outbreak. We estimate the impact of these control measures and investigate the role of the airport travel network on the global spread of the COVID-19 outbreak. Our results show that the daily risk of exporting at least a single SARS CoV-2 case from mainland China via international travel exceeded 95% on January 13, 2020. We found that 779 cases (95% CI: 632 to 967) would have been exported by February 15, 2020 without any border or travel restrictions and that the travel lockdowns enforced by the Chinese government averted 70.5% (95% CI: 68.8 to 72.0%) of these cases. In addition, during the first three and a half weeks of implementation, the travel restrictions decreased the daily rate of exportation by 81.3% (95% CI: 80.5 to 82.1%), on average. At this early stage of the epidemic, reduction in the rate of exportation could delay the importation of cases into cities unaffected by the COVID-19 outbreak, buying time to coordinate an appropriate public health response.

Indexed as

BetacoronavirusEpidemicsTravelChinaCommunicable Disease ControlCoronavirus InfectionsCOVID-19Global HealthHumansIncidenceInternationalityLikelihood FunctionsMass ScreeningPandemicsPneumonia, ViralPublic HealthCOVID-19disease importationSARS-CoV-2screeningsurveillance

Identifiers

PMID32170017
PMCPMC7132249

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.