Predicting the secondary infection for airborne transmission of COVID-19 infection in Boeing B737-800 plane: based wells-riley approach / Nur Amira Nadia Mohd Ali, Aini Sahira Mohamad Razali and Siti Adiba Mahasan

This study are mainly about estimating the potential risk of Covid-19 infection among passengers on Boeing B737-800 aircraft. The aim of this study is to calculate secondary infection for Covid-19 virus in the Boeing B737-800 aircraft due to airborne transmission. Aircraft are preferred over other e...

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Main Authors: Mohd Ali, Nur Amira Nadia, Mohamad Razali, Aini Sahira, Mahasan, Siti Adiba
Format: Student Project
Language:English
Published: 2023
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Online Access:https://ir.uitm.edu.my/id/eprint/83555/1/83555.pdf
https://ir.uitm.edu.my/id/eprint/83555/
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spelling my.uitm.ir.835552023-09-14T04:58:26Z https://ir.uitm.edu.my/id/eprint/83555/ Predicting the secondary infection for airborne transmission of COVID-19 infection in Boeing B737-800 plane: based wells-riley approach / Nur Amira Nadia Mohd Ali, Aini Sahira Mohamad Razali and Siti Adiba Mahasan Mohd Ali, Nur Amira Nadia Mohamad Razali, Aini Sahira Mahasan, Siti Adiba Mathematical statistics. Probabilities This study are mainly about estimating the potential risk of Covid-19 infection among passengers on Boeing B737-800 aircraft. The aim of this study is to calculate secondary infection for Covid-19 virus in the Boeing B737-800 aircraft due to airborne transmission. Aircraft are preferred over other enclosed spaces like trains and buses because they require passengers to spend longer time in the enclosed spaces during flight without any interruption between the journey. A major risk to passengers in a cabin could be posed by massive droplet and airborne transmissions given the high density and close proximity of passengers. An aircraft with passengers in a cabin would increase the risk for infected people becoming more frequent since it has a high occupant density but limited fresh air supply. The Wells-Riley model is used in this study because it is appropriate for populations in confined spaces and it has been frequently used for quantifying the infection risk assessment of infectious illnesses in indoor settings. In this study the secondary risk of infection is calculated for every susceptible passenger flying for one, two, three and four hours journey. Based on the finding, it is found that the relationship between exposure time and number of infected people are positive linear relationships. This means that the longer time a passenger is exposed to the infected people in the cabin, the higher chance of the passenger getting infected by the virus. The reproduction number is estimated to be 2 passengers when the exposure duration is less than 2 hours for 80 passengers or less than 1 hour for 166 passengers. This estimation indicates that the risk of secondary infection is not under control and the reproduction rate of secondary infection is high. Based on Olsen, 2003, if the value of secondary infection are greater than 1, a disease may grow in the environment, whereas if the secondary infection are less than 1, it will indicate that the infection is under control. Therefore, it can be concluded that there is a high chance passengers may get infected in the aircraft and the risk will increase when the exposure time is increasing. The best alternatives for protection against large droplets and direct contact transmission for the passengers are wearing mask and face shield, social distancing and sanitising hands frequently. An improvement in ventilation seems to be effective and feasible to prevent Covid-19 infection. 2023 Student Project NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/83555/1/83555.pdf Predicting the secondary infection for airborne transmission of COVID-19 infection in Boeing B737-800 plane: based wells-riley approach / Nur Amira Nadia Mohd Ali, Aini Sahira Mohamad Razali and Siti Adiba Mahasan. (2023) [Student Project] (Unpublished)
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic Mathematical statistics. Probabilities
spellingShingle Mathematical statistics. Probabilities
Mohd Ali, Nur Amira Nadia
Mohamad Razali, Aini Sahira
Mahasan, Siti Adiba
Predicting the secondary infection for airborne transmission of COVID-19 infection in Boeing B737-800 plane: based wells-riley approach / Nur Amira Nadia Mohd Ali, Aini Sahira Mohamad Razali and Siti Adiba Mahasan
description This study are mainly about estimating the potential risk of Covid-19 infection among passengers on Boeing B737-800 aircraft. The aim of this study is to calculate secondary infection for Covid-19 virus in the Boeing B737-800 aircraft due to airborne transmission. Aircraft are preferred over other enclosed spaces like trains and buses because they require passengers to spend longer time in the enclosed spaces during flight without any interruption between the journey. A major risk to passengers in a cabin could be posed by massive droplet and airborne transmissions given the high density and close proximity of passengers. An aircraft with passengers in a cabin would increase the risk for infected people becoming more frequent since it has a high occupant density but limited fresh air supply. The Wells-Riley model is used in this study because it is appropriate for populations in confined spaces and it has been frequently used for quantifying the infection risk assessment of infectious illnesses in indoor settings. In this study the secondary risk of infection is calculated for every susceptible passenger flying for one, two, three and four hours journey. Based on the finding, it is found that the relationship between exposure time and number of infected people are positive linear relationships. This means that the longer time a passenger is exposed to the infected people in the cabin, the higher chance of the passenger getting infected by the virus. The reproduction number is estimated to be 2 passengers when the exposure duration is less than 2 hours for 80 passengers or less than 1 hour for 166 passengers. This estimation indicates that the risk of secondary infection is not under control and the reproduction rate of secondary infection is high. Based on Olsen, 2003, if the value of secondary infection are greater than 1, a disease may grow in the environment, whereas if the secondary infection are less than 1, it will indicate that the infection is under control. Therefore, it can be concluded that there is a high chance passengers may get infected in the aircraft and the risk will increase when the exposure time is increasing. The best alternatives for protection against large droplets and direct contact transmission for the passengers are wearing mask and face shield, social distancing and sanitising hands frequently. An improvement in ventilation seems to be effective and feasible to prevent Covid-19 infection.
format Student Project
author Mohd Ali, Nur Amira Nadia
Mohamad Razali, Aini Sahira
Mahasan, Siti Adiba
author_facet Mohd Ali, Nur Amira Nadia
Mohamad Razali, Aini Sahira
Mahasan, Siti Adiba
author_sort Mohd Ali, Nur Amira Nadia
title Predicting the secondary infection for airborne transmission of COVID-19 infection in Boeing B737-800 plane: based wells-riley approach / Nur Amira Nadia Mohd Ali, Aini Sahira Mohamad Razali and Siti Adiba Mahasan
title_short Predicting the secondary infection for airborne transmission of COVID-19 infection in Boeing B737-800 plane: based wells-riley approach / Nur Amira Nadia Mohd Ali, Aini Sahira Mohamad Razali and Siti Adiba Mahasan
title_full Predicting the secondary infection for airborne transmission of COVID-19 infection in Boeing B737-800 plane: based wells-riley approach / Nur Amira Nadia Mohd Ali, Aini Sahira Mohamad Razali and Siti Adiba Mahasan
title_fullStr Predicting the secondary infection for airborne transmission of COVID-19 infection in Boeing B737-800 plane: based wells-riley approach / Nur Amira Nadia Mohd Ali, Aini Sahira Mohamad Razali and Siti Adiba Mahasan
title_full_unstemmed Predicting the secondary infection for airborne transmission of COVID-19 infection in Boeing B737-800 plane: based wells-riley approach / Nur Amira Nadia Mohd Ali, Aini Sahira Mohamad Razali and Siti Adiba Mahasan
title_sort predicting the secondary infection for airborne transmission of covid-19 infection in boeing b737-800 plane: based wells-riley approach / nur amira nadia mohd ali, aini sahira mohamad razali and siti adiba mahasan
publishDate 2023
url https://ir.uitm.edu.my/id/eprint/83555/1/83555.pdf
https://ir.uitm.edu.my/id/eprint/83555/
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