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A Two Dimensional Mathematical Model of Airborne Infection in an Outpatient Room with an Outlet Ventilation System
Author(s)
Timpitak, W.
Date Issued
January 1, 2023
Type
Article
Abstract
Bacteria and viruses can travel along air currents, remain in the air, or cling to surfaces before being breathed in by another person. They are transferred by tiny respiratory droplets and are referred to as airborne infections. Lack of ventilation or low ventilation rates is associated with increased infection rates or clusters of airborne infections. While normal people remain in the same outpatient room as infectors, this research will utilize a two-dimensional mathematical model for approximating the exhaled air concentration in the specified region with an outlet ventilation system and the risk of infection. As a result, the exhaled air concentration and infection risk are affected by the initial concentration level, the distance of the seating position, and the rate of ventilation. The forward time center space technique is used to estimate the model solution. A good agreement solution is obtained using the forward time center space. The model can also be used as part of an internet of things (IoT) system to explore inventive ways to infection-free zone management. The proposed strategy represents the balance in the air quality management process between the distance of the seating position and the performance of the air ventilation system for optimal outcomes. We illustrate that the suggested technique works in real-world circumstances.
Citation
Iaeng International Journal of Applied Mathematics, 53(4), 2023