Evidence map›Paper›PMID 33776252›Full record

ArticleTransport policy2021

On the degree of synchronization between air transport connectivity and COVID-19 cases at worldwide level.

Xiaoqian Sun, Sebastian Wandelt, Anming Zhang

Open access · greenAbstract read
In one paragraph

Article in Transport policy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
7.7field-weighted citation impact, top 2% of its field
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

28 citing papers in PubMed, 98 citations in OpenAlex.

  1. Article
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  4. Airline strategies during the pandemic: What worked?Transportation research. Part A, Policy and practice · 2023
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  8. Airline market exit after a shock event: Insights from the COVID-19 pandemic.Transportation research interdisciplinary perspectives · 2022
    Article
  9. Air transportation as a puzzle piece of COVID-19 in Africa?Research in transportation business & management · 2022
    Article
  10. Article
  11. Article
  12. Global cities, hypermobility, and Covid-19.Cities (London, England) · 2022
    Article
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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

3 authors at 2 institutions in 2 countries.

Xiaoqian SunNational Key Laboratory of CNS/ATM, School of Electronic and Information Engineering, Beihang University, 100191, Beijing, China.
Sebastian WandeltNational Key Laboratory of CNS/ATM, School of Electronic and Information Engineering, Beihang University, 100191, Beijing, China.
Anming ZhangSauder School of Business, University of British Columbia, Vancouver, BC, Canada.
Beihang University · CNUniversity of British Columbia · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

COVID-19 is one of the most impactful pandemics in recent history, not only in terms of direct casualties but also regarding socio-economic impact. The goal of our study is to investigate the degree of synchronization between the number of confirmed cases in specific countries, on one hand, and how/at which stage these countries adapted their air transportation operations, on the other hand. We investigate the global air transportation system as a network of countries whose edges represent the existence of direct flights. Aggregated analysis of this country network and its evolving dynamics leads to novel insights regarding the synchronization with the number of confirmed cases; finding that most country borders were likely closed too late. We believe and hope that our analysis leads to a more efficient/effective prevention and control of future epidemics.

Indexed as

Air transportationConnectivityCOVID-19Flight cancellationsSynchronization

Identifiers

PMID33776252
PMCPMC7981194
OpenAlexW3138653524

What OpenQuestion holds

Textmetadata
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.