A numerical assessment of social distancing of preventing airborne transmission of COVID-19 during different breathing and coughing processes

Título

A numerical assessment of social distancing of preventing airborne transmission of COVID-19 during different breathing and coughing processes

Autor

Alibek Issakhov, Yeldos Zhandaulet, Perizat Omarova, Aidana Alimbek, Aliya Borsikbayeva, Ardak Mustafayeva

Descripción

Abstract The spread of the novel coronavirus disease (COVID-19) continues to show that geographic barriers alone cannot contain the virus. Asymptomatic carriers play a critical role in the nature of this virus, which is rapidly escalating into a global pandemic. Asymptomatic carriers can inadvertently transmit the virus through the air stream. Many diseases can infect human bodies with tiny droplets or particles that carry various viruses and bacteria that are generated by the respiratory system of infected patients. This article presents the numerical results of the spread of droplets or particles in a room. The proposed numerical model in this work takes into account the sedimentation of particles or droplets under the action of gravitational sedimentation and transport in the room during the process of breathing and sneezing or coughing. Three different cases are numerically investigated taking into account normal breathing and coughing or sneezing, respectively, and three different rates of particle ejection from the mouth are considered. Navier–Stokes equations for incompressible flows were used to describe three-dimensional air flow inside ventilated rooms. The influence of ventilation rate on social distancing is also computationally investigated. It was found that particles can move up to 5 m with a decrease in concentration in the direction of the air flow. The conclusions made in this work show that, given the environmental conditions, the two meter social distance recommended by WHO is insufficient.

Fecha

2021

Identificador

10.1038/s41598-021-88645-2

Fuente

Epidemiology and Health

Editor

Korean Society of Epidemiology

Cobertura

Science, Medicine

Archivos

https://socictopen.socict.org/files/to_import/pdfs/aa9d0edf0929bda04f40454bc9f3de47.pdf

Colección

Citación

Alibek Issakhov, Yeldos Zhandaulet, Perizat Omarova, Aidana Alimbek, Aliya Borsikbayeva, Ardak Mustafayeva, “A numerical assessment of social distancing of preventing airborne transmission of COVID-19 during different breathing and coughing processes,” SOCICT Open, consulta 18 de abril de 2026, https://www.socictopen.socict.org/items/show/7413.

Formatos de Salida

Position: 16985 (18 views)