A Mathematical Model of The Risk of Airborne Infection Assessment among Bus Passengers

Name: Jenjira Sooknum

LCSH: Respiratory infections

LCSH: Buses -- Mathematical models

Abstract: Carbon dioxide emitted by human breath is a major contributor to airborne infections. Airborne infections can spread quickly, and breathing can expose US to airborne infections that are life-threatening. If there are passengers traveling by bus, there is a risk of infection. In this research, a mathematical model of carbon dioxide concentration measurement due to human breath is introduced. This research focuses on measuring the concentration of carbon dioxide due to bus passengers. An explicit finite difference technique is used to approximate the solution of the model. The model solution can be used to know how much the passengers allow for sitting on the bus while the level of carbon dioxide concentration is controlled. In addition, mathematical models were used to assess the risk of air infection among bus passengers equipped with ventilation systems to reduce the risk of air infection and improve ventilation. It was found in good agreement that the proposed air quality model allows US to know the balance between the number of passengers allowed to sit on the bus while controlling the risk of airborne infection as well as the concentration of carbon dioxide and the potential of the ventilation system

King Mongkut's Institute of Technology Ladkrabang. Central Library

Address: BANGKOK

Email: Lifelong@kmitl.ac.th

Name: Nopparat Pochai

Role: Thesis Advisor

Created: 2022

Modified: 2566-05-19

Issued: 2023-05-19

วิทยานิพนธ์/Thesis

application/pdf

eng

DegreeName: Master of Science

Level: Master's Degree

Descipline: Applied Mathematics

Grantor: King Mongkut's Institute of Technology Ladkrabang

©copyrights King Mongkut's Institute of Technology Ladkrabang

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