Evidence map›Paper›PMID 37226697›Full record

SynthesisEpidemiology and infection2023

Can ship travel contain COVID-19 outbreak after re-opening: a Bayesian meta-analysis.

Chen-Yang Hsu, Jia-Kun Chen, Paul S Wikramaratna, Amy Ming-Fang Yen, Sam Li-Sheng Chen, Hsiu-Hsi Chen, Chao-Chih Lai

Open access · goldAbstract readMeta-Analysis
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Epidemiology and infection, 2023. 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
0.2field-weighted citation impact, top 53% 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, 1 citations in OpenAlex.

  1. Methodology of Epidemic Risk Analysis in the Naval Military.International journal of environmental research and public health · 2025
    Review
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 at 2 institutions in 1 country.

Chen-Yang HsuInstitute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan.
Jia-Kun ChenInstitute of Environmental and Occupational Health Sciences, College of Public Health, National Taiwan University, Taipei, Taiwan.
Paul S WikramaratnaIndependent Consultant, London, England.
Amy Ming-Fang YenSchool of Oral Hygiene, College of Oral Medicine, Taipei Medical University, Taipei, Taiwan.
Sam Li-Sheng ChenSchool of Oral Hygiene, College of Oral Medicine, Taipei Medical University, Taipei, Taiwan.
Hsiu-Hsi ChenInstitute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan.ORCID 0000-0002-5799-6705
Chao-Chih LaiInstitute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan.ORCID 0000-0001-5523-2624
National Taiwan University · TWTaipei Medical University · TW

Funding

Ministry of Science and Technology, Taiwan MOST 109-2327-B-002-009
6 · The paper itself

Abstract

Large gatherings of people on cruise ships and warships are often at high risk of COVID-19 infections. To assess the transmissibility of SARS-CoV-2 on warships and cruise ships and to quantify the effectiveness of the containment measures, the transmission coefficient (β), basic reproductive number (R

Indexed as

COVID-19Bayes TheoremDisease OutbreaksHumansQuarantineSARS-CoV-2ShipsTravelBasic reproductive numberCOVID-19cruise shipThe Bayesian SEIR modelwarship

Identifiers

PMID37226697
PMCPMC10317826
OpenAlexW4378173127

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.