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A Mathematical Model for Evaluating the Risk of Airborne Infection Among Bus Passengers Using Ventilation Systems
(2024-01-01)
Sooknum, Jenjira
;
Pochai, Nopparat
Carbon dioxide from human breath contributes significantly to airborne diseases. Breathing can expose us to usually dangerous airborne infections, which rapidly spread. By using a bus, there is a chance of contracting an infection. This study takes into account a mathematical model of airborne infection caused by human breath. The purpose of this research is to evaluate the probability that passengers in a bus with ventilation systems may well get an airborne infection. The model can be divided into five submodels, such as an exhaled air concentration measurement model for a bus with a variable number of passengers, the volume fraction of exhaled air model, the concentration of airborne infectious particles model, the number of airborne infectious particles model, and the risk of airborne infection model. The model’s solution might be used to determine the probability that susceptible people will get an airborne infection. An explicit forward-time centered-space finite difference method is used to approximate the solution. In order to reduce the risk of airborne infection and improve ventilation, the provided mathematical models were used to assess the risk of airborne infection among bus passengers using ventilation systems. Better air quality control that balances the number of passengers allowed to travel on a bus will be among the ventilation’s main advantages.
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A Mathematical Model for the Evaluation of Airborne Infection Risk for Bus Passengers
(2023-03-01)
Sooknum, Jenjira
;
Pochai, Nopparat
Human breath emits a lot of carbon dioxide, which contributes a lot to airborne infections. Airborne infections spread speedily, and breathing can expose us to life-threatening airborne infections. There is a risk of infection if people are traveling by bus. A mathematical model of carbon dioxide concentration measurement due to human breath is proposed in this research. The focus of this research is to determine the amount of carbon dioxide produced by bus passengers. The model's solution is approximated using an explicit finite difference technique. The model solution can be used to determine how much time passengers are willing to spend on the bus while carbon dioxide levels are kept under control. Furthermore, mathematical models were utilized to quantify the risk of air infection among bus passengers with ventilation systems, in order to reduce the risk of air infection and increase ventilation. The proposed air quality model was found to be in good agreement in that it allows us to know the balance between the number of passengers allowed to sit on the bus while managing the risk of airborne infection, carbon dioxide concentration, and ventilation system potential. A significant advantage of the ventilation will be better air quality control that balances the number of passengers permitted to ride on a bus

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