Evidence map›Paper›PMID 34508144›Full record

ArticleScientific reports2021

COVID-19 impact on global maritime mobility.

Leonardo M Millefiori, Paolo Braca, Dimitris Zissis, Giannis Spiliopoulos, Stefano Marano, Peter K Willett, Sandro Carniel

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing 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

37 citing papers in PubMed.

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  12. COVID-19 outbreaks among crew on commercial ships at the Port of Rotterdam, the Netherlands, 2020 to 2021.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2023
    Article
  13. Article
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  19. Shipping regulations lead to large reduction in cloud perturbations.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  20. Quantifying the impact of pandemic lockdown policies on global port calls.Transportation research. Part A, Policy and practice · 2022
    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

7 authors.

Leonardo M Millefiori *Research Department, NATO STO Centre for Maritime Research and Experimentation, 19126, La Spezia, Italy.ORCID 0000-0002-2242-0028
Paolo Braca *Research Department, NATO STO Centre for Maritime Research and Experimentation, 19126, La Spezia, Italy. paolo.braca@cmre.nato.int.
Dimitris ZissisDepartment of Product and Systems Design Engineering, University of the Aegean, 84100, Syros, Greece.
Giannis SpiliopoulosMarineTraffic, 115 25, Athens, Greece.
Stefano MaranoDipartimento di Ingegneria dell'Informazione ed Elettrica e Matematica Applicata (DIEM), University of Salerno, 84084, Fisciano, SA, Italy.
Peter K WillettDepartment of Electrical and Computer Engineering, University of Connecticut, Storrs, 06269, USA.
Sandro CarnielResearch Department, NATO STO Centre for Maritime Research and Experimentation, 19126, La Spezia, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To prevent the outbreak of the Coronavirus disease (COVID-19), many countries around the world went into lockdown and imposed unprecedented containment measures. These restrictions progressively produced changes to social behavior and global mobility patterns, evidently disrupting social and economic activities. Here, using maritime traffic data collected via a global network of Automatic Identification System (AIS) receivers, we analyze the effects that the COVID-19 pandemic and containment measures had on the shipping industry, which accounts alone for more than 80% of the world trade. We rely on multiple data-driven maritime mobility indexes to quantitatively assess ship mobility in a given unit of time. The mobility analysis here presented has a worldwide extent and is based on the computation of: Cumulative Navigated Miles (CNM) of all ships reporting their position and navigational status via AIS, number of active and idle ships, and fleet average speed. To highlight significant changes in shipping routes and operational patterns, we also compute and compare global and local vessel density maps. We compare 2020 mobility levels to those of previous years assuming that an unchanged growth rate would have been achieved, if not for COVID-19. Following the outbreak, we find an unprecedented drop in maritime mobility, across all categories of commercial shipping. With few exceptions, a generally reduced activity is observable from March to June 2020, when the most severe restrictions were in force. We quantify a variation of mobility between -5.62 and -13.77% for container ships, between +2.28 and -3.32% for dry bulk, between -0.22 and -9.27% for wet bulk, and between -19.57 and -42.77% for passenger traffic. The presented study is unprecedented for the uniqueness and completeness of the employed AIS dataset, which comprises a trillion AIS messages broadcast worldwide by 50,000 ships, a figure that closely parallels the documented size of the world merchant fleet.

Indexed as

Communicable Disease ControlCOVID-19IndustryPandemicsShipsHumans

Identifiers

PMID34508144
PMCPMC8433355

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Registered trials

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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.