Evidence map›Paper›PMID 34326439›Full record

ArticleScientific reports2021

Harnessing testing strategies and public health measures to avert COVID-19 outbreaks during ocean cruises.

Gerardo Chowell, Sushma Dahal, Raquel Bono, Kenji Mizumoto

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 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
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  5. Review
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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

4 authors.

Gerardo ChowellDepartment of Population Heath Sciences, School of Public Health, Georgia State University, Atlanta, GA, USA. gchowell@gsu.edu.
Sushma DahalDepartment of Population Heath Sciences, School of Public Health, Georgia State University, Atlanta, GA, USA.
Raquel BonoJohns Hopkins University Applied Physics Laboratory, Laurel, MD, USA.
Kenji MizumotoDepartment of Population Heath Sciences, School of Public Health, Georgia State University, Atlanta, GA, USA.

Funding

Japan Science and Technology Agency (JST) J-RAPID JPMJJR2002Japan Society for the Promotion of Science (JSPS) KAKENHI 20H03940NSF 2026797
6 · The paper itself

Abstract

To ensure the safe operation of schools, workplaces, nursing homes, and other businesses during COVID-19 pandemic there is an urgent need to develop cost-effective public health strategies. Here we focus on the cruise industry which was hit early by the COVID-19 pandemic, with more than 40 cruise ships reporting COVID-19 infections. We apply mathematical modeling to assess the impact of testing strategies together with social distancing protocols on the spread of the novel coronavirus during ocean cruises using an individual-level stochastic model of the transmission dynamics of COVID-19. We model the contact network, the potential importation of cases arising during shore excursions, the temporal course of infectivity at the individual level, the effects of social distancing strategies, different testing scenarios characterized by the test's sensitivity profile, and testing frequency. Our findings indicate that PCR testing at embarkation and daily testing of all individuals aboard, together with increased social distancing and other public health measures, should allow for rapid detection and isolation of COVID-19 infections and dramatically reducing the probability of onboard COVID-19 community spread. In contrast, relying only on PCR testing at embarkation would not be sufficient to avert outbreaks, even when implementing substantial levels of social distancing measures.

Indexed as

Contact TracingCOVID-19Disease OutbreaksHumansModels, TheoreticalOceans and SeasPandemicsPhysical DistancingPublic HealthPublic Health PracticeQuarantineSARS-CoV-2Ships

Identifiers

PMID34326439
PMCPMC8322151

What OpenQuestion holds

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LicenceCC BY
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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.