A risk model of airborne transmission with vaccine efficacy in an outpatient room with a ventilation system

Name: Watchareeporn Boonmeemapasuk

keyword: Mathematical models

LCSH: Ventilation

LCSH: Mathematical models

Abstract: TB, COVID-19, MERS, and SARS are all significant infectious diseases that are transmitted by the air or aerosol via coughing, spitting, sneezing, speaking, or wounds. Human breath emits a lot of carbon dioxide, which contributes a lot to airborne infections. We should also be informed about how patients in the outpatient room are managed. A risk model of airborne transmission in an outpatient room with a ventilation system is provided for variable patient quantities and vaccine efficacy. As can be seen, the probability of infection depends on the number of people present, the rate of ventilation, and the efficacy of each type of vaccination. The fourth-order Runge-Kutta method is used to approximate the model solution. Several scenarios for improving air quality are presented in the simulations. เท the air quality management process, the proposed technique balances the number of people allowed to stay in the room with the capacity of the air ventilation system. We can see that the sufficiently ventilated system and the efficacy of each type of vaccination can reduce the risk of airborne infection in an outpatient room in a hospital. This research could be utilized to help control the risk of airborne infection to the desired level if there is a public vaccination database system

King Mongkut's Institute of Technology Ladkrabang. Central Library

Address: BANGKOK

Email: Lifelong@kmitl.ac.th

Name: Nopparat Pochai

Role: Thesis Advisor

Email : nopparat.po@kmitl.ac.th

Created: 2022

Modified: 2023-05-25

Issued: 2023-05-24

eng

DegreeName: Master of Science

Level: Master's Degree

Descipline: Applied Mathematics

Grantor: King Mongkut's Institute of Technology Ladkrabang

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