Evidence map›Paper›PMID 36192435›Full record

ArticleScientific reports2022

The impact of air travel on the precocity and severity of COVID-19 deaths in sub-national areas across 45 countries.

Ettore Recchi, Alessandro Ferrara, Alejandra Rodriguez Sanchez, Emanuel Deutschmann, Lorenzo Gabrielli, Stefano Iacus, Luca Bastiani, Spyridon Spyratos, Michele Vespe

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.2field-weighted citation impact, top 13% 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

3 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

9 authors at 7 institutions in 5 countries.

Ettore RecchiSciences Po, Centre for Research On Social Inequalities (CRIS), CNRS, Paris, France. ettore.recchi@eui.eu.ORCID 0000-0001-7497-2150
Alessandro FerraraEuropean University Institute, Florence, Italy.ORCID 0000-0002-9927-3863
Alejandra Rodriguez SanchezHumboldt Universität, Berlin, Germany.ORCID 0000-0002-2512-5796
Emanuel DeutschmannMigration Policy Centre (MPC), European University Institute, Florence, Italy.ORCID 0000-0002-6460-6947
Lorenzo GabrielliMigration Policy Centre (MPC), European University Institute, Florence, Italy.ORCID 0000-0003-1208-8321
Stefano IacusInstitute for Quantitative Social Science, Harvard University, Cambridge, MA, USA.ORCID 0000-0002-4884-0047
Luca BastianiInstitute of Clinical Physiology, Consiglio Nazionale delle Ricerche (CNR), Pisa, Italy.ORCID 0000-0003-3467-7362
Spyridon SpyratosEuropean Commission, Joint Research Centre (JRC), Ispra, Italy.ORCID 0000-0002-1675-9738
Michele VespeEuropean Commission, Joint Research Centre (JRC), Ispra, Italy.ORCID 0000-0003-2309-7266
Joint Research Centre · ITCentre National de la Recherche Scientifique · FREuropa-Universität Flensburg · DEEuropean University Institute · ITHarvard University · USHumboldt-Universität zu Berlin · DEIstituto di Fisiologia Clinica · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human travel fed the worldwide spread of COVID-19, but it remains unclear whether the volume of incoming air passengers and the centrality of airports in the global airline network made some regions more vulnerable to earlier and higher mortality. We assess whether the precocity and severity of COVID-19 deaths were contingent on these measures of air travel intensity, adjusting for differences in local non-pharmaceutical interventions and pre-pandemic structural characteristics of 502 sub-national areas on five continents in April-October 2020. Ordinary least squares (OLS) models of precocity (i.e., the timing of the 1st and 10th death outbreaks) reveal that neither airport centrality nor the volume of incoming passengers are impactful once we consider pre-pandemic demographic characteristics of the areas. We assess severity (i.e., the weekly death incidence of COVID-19) through the estimation of a generalized linear mixed model, employing a negative binomial link function. Results suggest that COVID-19 death incidence was insensitive to airport centrality, with no substantial changes over time. Higher air passenger volume tends to coincide with more COVID-19 deaths, but this relation weakened as the pandemic proceeded. Different models prove that either the lack of airports in a region or total travel bans did reduce mortality significantly. We conclude that COVID-19 importation through air travel followed a 'travel as spark' principle, whereby the absence of air travel reduced epidemic risk drastically. However, once some travel occurred, its impact on the severity of the pandemic was only in part associated with the number of incoming passengers, and not at all with the position of airports in the global network of airline connections.

Indexed as

Air TravelCOVID-19AirportsDisease OutbreaksHumansPandemicsTravel

Identifiers

PMID36192435
PMCPMC9527720
OpenAlexW4300817958

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.