Evidence map›Paper›PMID 34602713›Full record

ArticleMarine policy2021

How to control cruise ship disease risk? Inspiration from the research literature.

Hua Li, Shuhan Meng, Helong Tong

Abstract read
In one paragraph

Article in Marine policy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. 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.

Hua LiSchool of Economics & Management, Shanghai Maritime University, Shanghai, China.
Shuhan MengSchool of Economics & Management, Shanghai Maritime University, Shanghai, China.
Helong TongCollege of Foreign Languages, Shanghai Maritime University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic once brought the global cruise industry to a standstill. This has led to the realization that the development of viable disease risk management policies and measures will guarantee the sustainability of cruise tourism. The purpose of this study is to identify and develop a framework for risk management of cruise ship disease based on the research literature of cruise diseases in the Web of Science from 1996 to 2019. The study analyzed the characteristics of the literature researchers, the relationships between their research institutions organizations, the main cruise ship disease cases and measures. Based on the discussion of COVID-19 on cruise ships,risk management factors of cruise ship diseases were proposed,which include the port country's epidemic prevention capacity, the mode of disease transmission, the relevant regulations on international public health disposal, the design and construction of cruise ships, the medical and health conditions on cruise ships, and the characteristics of cruise tourism activities. A timeline and system framework for cruise ship disease risk management is proposed. A special "maritime mobile community prevention and control system" should be established, and a cooperation mechanism consisting of the government, non-governmental organizations, trade groups and industry experts should be established. The port should be capable of border isolation, detection and establishment of temporary shelter hospitals. At the same time, big data technologies such as disease tracking, investigation and health data are also important components of the risk management system.

Indexed as

COVID-19Cruise diseasesRisk managementWeb of science

Identifiers

PMID34602713
PMCPMC8463129

What OpenQuestion holds

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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.