A Mathematical Model for the Evaluation of Airborne Infection Risk for Bus Passengers

Abstract

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