A model for SARS-CoV-2 virus transmission on the upper deck of a passenger ship bound for a short trip.

Zobair Ibn Awal, Md Rafsan Zani, Md Abu Sina Ibne Albaruni, Tawhidur Rahman, Md Shariful Islam

Abstract read

In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Zobair Ibn AwalDepartment of Naval Architecture and Marine Engineering, Bangladesh University of Engineering and Technology (BUET), Dhaka, 1000, Bangladesh.

Md Rafsan ZaniDepartment of Naval Architecture and Marine Engineering, Bangladesh University of Engineering and Technology (BUET), Dhaka, 1000, Bangladesh.

Md Abu Sina Ibne AlbaruniDepartment of Mechanical Engineering, Bangladesh University of Engineering and Technology (BUET), Dhaka, 1000, Bangladesh.

Tawhidur RahmanDepartment of Naval Architecture and Marine Engineering, Bangladesh University of Engineering and Technology (BUET), Dhaka, 1000, Bangladesh.

Md Shariful IslamDepartment of Naval Architecture and Offshore Engineering, Bangabandhu Sheikh Mujibur Rahman Maritime University, Bangladesh (BSMRMU), Dhaka, 1216, Bangladesh.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Public transportation plays a critical role in meeting transportation demands, particularly in densely populated areas. The COVID-19 pandemic has highlighted the importance of public health measures, including the need to prevent the spread of the virus through public transport. The spreading of the virus on a passenger ship is studied using the Computational Fluid Dynamic (CFD) model and Monte Carlo simulation. A particular focus was the context of Bangladesh, a populous maritime nation in South Asia, where a significant proportion of the population utilizes passenger ships to meet transportation demands. In this regard, a turbulence model is used, which simulates the airflow pattern and determines the contamination zone. Parameters under investigation are voyage duration, number of passengers on board, social distance, the effect of surgical masks, and others. This study shows that the transmission rate of SARS-CoV-2 infection on public transport, such as passenger ships, is not necessarily directly proportional to voyage duration or the number of passengers onboard. This model has the potential to be applied in various other modes of transportation, including public buses and airplanes. Implementing this model may help to monitor and address potential health risks effectively in the public transport networks.

Indexed as

Passenger shipProbabilistic modelingPublic transportSARS-CoV-2 transmissionWater transport

Identifiers

PMID38698983

DOI10.1016/j.heliyon.2024.e29506

PMCPMC11064074

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LicenceCC BY-NC

Read underepoch 390

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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.