Computational fluid dynamics-based disease transmission modeling of SARS-CoV-2 Intensive Care Unit

Autor: Nishi Mehta, Aviral Chharia, Shivam Prajapati, Yogesh Upadhyay
Rok vydání: 2022
Předmět:
Zdroj: Materials Today. Proceedings
ISSN: 2214-7853
Popis: Covid-19 has become one of the most severe diseases causing the acute respiratory problems that has even killed millions of people worldwide. It was declared as the ongoing pandemic by the World Health Organization. It is an infectious virus which can be transmitted by sneezing, coughing and exhalation of air by any infected person. There are certain places where there are very high chances of rooms becoming contaminated like hospital rooms. In this context, we studied the transmission of covid-19 particles in an ICU room. In this paper, we have considered the combined effect of both of air-conditioning (AC) and a ceiling fan in the room. The infected person can transmit the disease when under influence of fan and AC, the work highlights the flow of aerosol particles considering the combined effect as well as the individual effects of fan and AC. The results also emphasized that the aerosol particles flow have a promising application in sanitizing the room.
Databáze: OpenAIRE