Evidence map›Paper›PMID 32773897›Full record

ArticleBulletin of the World Health Organization2020

Travel restrictions and SARS-CoV-2 transmission: an effective distance approach to estimate impact.

Shoi Shi, Shiori Tanaka, Ryo Ueno, Stuart Gilmour, Yuta Tanoue, Takayuki Kawashima, Shuhei Nomura, Akifumi Eguchi, Hiroaki Miyata, Daisuke Yoneoka

Erratum issuedAbstract read
In one paragraph

Article in Bulletin of the World Health Organization, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 22 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 4 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

22 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Brazil Covid-19: Change of hospitalizations and deaths due to burn injury?Burns : journal of the International Society for Burn Injuries · 2021
    Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Shoi ShiGraduate School of Medicine, University of Tokyo, Tokyo, Japan.
Shiori TanakaCenter for Public Health Sciences, National Cancer Center, Tokyo, Japan.
Ryo UenoThe Australian and New Zealand Intensive Care Research Centre, Melbourne, Australia.
Stuart GilmourGraduate School of Public Health, St Luke's International University, 3-6-2 Tsukiji, Chuo-ku, Tokyo 104-0045, Japan.
Yuta TanoueInstitute for Business and Finance, Waseda University, Tokyo, Japan.
Takayuki KawashimaDepartment of Mathematical and Computing Science, Tokyo Institute of Technology, Tokyo, Japan.
Shuhei NomuraDepartment of Health Policy and Management, Keio University, Tokyo, Japan.
Akifumi EguchiCenter for Preventive Medical Sciences, Chiba University, Chiba, Japan.
Hiroaki MiyataDepartment of Health Policy and Management, Keio University, Tokyo, Japan.
Daisuke YoneokaGraduate School of Public Health, St Luke's International University, 3-6-2 Tsukiji, Chuo-ku, Tokyo 104-0045, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo estimate the effect of airline travel restrictions on the risk of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) importation.

methodsWe extracted passenger volume data for the entire global airline network, as well as the dates of the implementation of travel restrictions and the observation of the first case of coronavirus disease (COVID-19) in each country or territory, from publicly available sources. We calculated effective distance between every airport and the city of Wuhan, China. We modelled the risk of SARS-CoV-2 importation by estimating survival probability, expressing median time of importation as a function of effective distance. We calculated the relative change in importation risk under three different hypothetical scenarios that all resulted in different passenger volumes.

findingsWe identified 28 countries with imported cases of COVID-19 as at 26 February 2020. The arrival time of the virus at these countries ranged from 39 to 80 days since identification of the first case in Wuhan. Our analysis of relative change in risk indicated that strategies of reducing global passenger volume and imposing travel restrictions at a further 10 hub airports would be equally effective in reducing the risk of importation of SARS-CoV-2; however, this reduction is very limited with a close-to-zero median relative change in risk.

conclusionThe hypothetical variations in observed travel restrictions were not sufficient to prevent the global spread of SARS-CoV-2; further research should also consider travel by land and sea. Our study highlights the importance of strengthening local capacities for disease monitoring and control.

Indexed as

AircraftAirportsBetacoronavirusCommunicable Disease ControlCoronavirus InfectionsCOVID-19HumansModels, StatisticalPandemicsPneumonia, ViralRisk AssessmentSARS-CoV-2Time FactorsTravel

Identifiers

PMID32773897
PMCPMC7411317

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.