Development of a mathematical model to predict the health impact and duration of SARS-CoV-2 outbreaks on board cargo vessels
CC-BY
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Định dạng: | Sách |
Ngôn ngữ: | English |
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Springer
2023
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Truy cập trực tuyến: | https://link.springer.com/article/10.1007/s13437-022-00291-1 https://dlib.phenikaa-uni.edu.vn/handle/PNK/9084 |
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oai:localhost:PNK-90842023-09-18T08:04:36Z Development of a mathematical model to predict the health impact and duration of SARS-CoV-2 outbreaks on board cargo vessels Ng, Kok Yew Codreanu, Tudor A. Gui, Meei Mei SEIQ(H)R Coronavirus Disease CC-BY The Coronavirus Disease (COVID-19) pandemic has brought significant impact onto the maritime activities worldwide, including disruption to global trade and supply chains. The ability to predict the evolution and duration of a COVID-19 outbreak on cargo vessels would inform a more nuanced response to the event and provide a more precise return-to-trade date. This paper presents the SEIQ(H)R (Susceptibility–Exposed–Infected–Quarantine–(Hospitalisation)–Removed/Recovered) model, which is the first deterministic mathematical model developed and fit-tested to describe the transmission dynamics of COVID-19 on board cargo vessels of up to 60 crew members. Due to specific living and working circumstances on board cargo vessels, instead of utilising the reproduction number, we consider the highest fraction of crew members who share the same nationality to quantify the transmissibility of the disease. The performance of the model is verified using case studies based on data collected during COVID-19 outbreaks on three cargo vessels in Western Australia during 2020. 2023-09-18T08:04:36Z 2023-09-18T08:04:36Z 2022 Book https://link.springer.com/article/10.1007/s13437-022-00291-1 https://dlib.phenikaa-uni.edu.vn/handle/PNK/9084 en application/pdf Springer |
institution |
Digital Phenikaa |
collection |
Digital Phenikaa |
language |
English |
topic |
SEIQ(H)R Coronavirus Disease |
spellingShingle |
SEIQ(H)R Coronavirus Disease Ng, Kok Yew Codreanu, Tudor A. Gui, Meei Mei Development of a mathematical model to predict the health impact and duration of SARS-CoV-2 outbreaks on board cargo vessels |
description |
CC-BY |
format |
Book |
author |
Ng, Kok Yew Codreanu, Tudor A. Gui, Meei Mei |
author_facet |
Ng, Kok Yew Codreanu, Tudor A. Gui, Meei Mei |
author_sort |
Ng, Kok Yew |
title |
Development of a mathematical model to predict the health impact and duration of SARS-CoV-2 outbreaks on board cargo vessels |
title_short |
Development of a mathematical model to predict the health impact and duration of SARS-CoV-2 outbreaks on board cargo vessels |
title_full |
Development of a mathematical model to predict the health impact and duration of SARS-CoV-2 outbreaks on board cargo vessels |
title_fullStr |
Development of a mathematical model to predict the health impact and duration of SARS-CoV-2 outbreaks on board cargo vessels |
title_full_unstemmed |
Development of a mathematical model to predict the health impact and duration of SARS-CoV-2 outbreaks on board cargo vessels |
title_sort |
development of a mathematical model to predict the health impact and duration of sars-cov-2 outbreaks on board cargo vessels |
publisher |
Springer |
publishDate |
2023 |
url |
https://link.springer.com/article/10.1007/s13437-022-00291-1 https://dlib.phenikaa-uni.edu.vn/handle/PNK/9084 |
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1779307153528455168 |
score |
8.891695 |