Evidence map›Paper›PMID 35284027›Full record

ArticleProcedia computer science2022

Identification of measures to contain the outbreaks on passenger ships using pedestrian simulations.

Luca Braidotti, Serena Bertagna, Matteo Dodero, Michele Piu, Alberto Marinò, Vittorio Bucci

Open access · diamondAbstract read
In one paragraph

Article in Procedia computer science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.6field-weighted citation impact, top 18% 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

1 citing paper in PubMed, 8 citations in OpenAlex.

  1. 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

6 authors at 1 institution in 2 countries.

Luca BraidottiDepartment of Engineering and Architecture, University of Trieste, Via A. Valerio 6, Trieste 34127, Italy.
Serena BertagnaDepartment of Engineering and Architecture, University of Trieste, Via A. Valerio 6, Trieste 34127, Italy.
Matteo DoderoDepartment of Engineering and Architecture, University of Trieste, Via A. Valerio 6, Trieste 34127, Italy.
Michele PiuDepartment of Engineering and Architecture, University of Trieste, Via A. Valerio 6, Trieste 34127, Italy.
Alberto MarinòDepartment of Engineering and Architecture, University of Trieste, Via A. Valerio 6, Trieste 34127, Italy.
Vittorio BucciDepartment of Engineering and Architecture, University of Trieste, Via A. Valerio 6, Trieste 34127, Italy.
University of Trieste · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The SARS-CoV-2 pandemic, since the beginning of 2020, has had a strong effect on many industry sectors including maritime transport. In this context, the passenger transport industry was the most affected and it is still in a very critical situation. Starting from the "No Sail Order" issued in March 2020, cruise companies stopped their operations. Besides the international regulatory bodies issued several guidelines for the prevention and management of pandemics onboard in order to safely resume cruises. The present work addresses this topic, aiming to discuss procedures and best practices to reduce the risk of uncontrolled spreading of SARS-CoV-2 infection on large cruise vessels. Starting from the lessons learned from the representative case of Diamond Princess, here the tools developed in the framework of Industry 4.0 have been used to highlight and handle the criticalities risen on the internal layout of passenger vessels, opening new opportunities to operate existing vessels and improve the design new buildings for outbreaks prevention and control.

Indexed as

cruise industryonboard applicationpandemic controlPedestrian simulations

Identifiers

PMID35284027
PMCPMC8902520
OpenAlexW4225856509

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.