Virus Research Center, Clinical Research Division, Sendai Medical Center, Sendai, Japan.
PLoS One. 2013 Nov 27;8(11):e80244. doi: 10.1371/journal.pone.0080244. eCollection 2013.
Microbial pathogens of respiratory infectious diseases are often transmitted through particles in sneeze and cough. Therefore, understanding the particle movement is important for infection control. Images of a sneeze induced by nasal cavity stimulation by healthy adult volunteers, were taken by a digital high-vision, high-speed video system equipped with a computer system and treated as a research model. The obtained images were enhanced electronically, converted to digital images every 1/300 s, and subjected to vector analysis of the bioparticles contained in the whole sneeze cloud using automatic image processing software. The initial velocity of the particles or their clusters in the sneeze was greater than 6 m/s, but decreased as the particles moved forward; the momentums of the particles seemed to be lost by 0.15-0.20 s and started a diffusion movement. An approximate equation of a function of elapsed time for their velocity was obtained from the vector analysis to represent the dynamics of the front-line particles. This methodology was also applied for a cough. Microclouds contained in a smoke exhaled with a voluntary cough by a volunteer after smoking one breath of cigarette, were traced as the visible, aerodynamic surrogates for invisible bioparticles of cough. The smoke cough microclouds had an initial velocity greater than 5 m/s. The fastest microclouds were located at the forefront of cloud mass that moving forward; however, their velocity clearly decreased after 0.05 s and they began to diffuse in the environmental airflow. The maximum direct reaches of the particles and microclouds driven by sneezing and coughing unaffected by environmental airflows were estimated by calculations using the obtained equations to be about 84 cm and 30 cm from the mouth, respectively, both achieved in about 0.2 s, suggesting that data relating to the dynamics of sneeze and cough became available by calculation.
呼吸道传染病的微生物病原体通常通过打喷嚏和咳嗽产生的飞沫传播。因此,了解颗粒的运动对于感染控制很重要。本研究采用配备计算机系统的数字高速、高速摄像系统,对健康成年志愿者鼻腔受刺激诱发的喷嚏进行拍摄,将获得的图像进行电子增强,并以每 1/300s 转换为数字图像,使用自动图像处理软件对整个喷嚏云中包含的生物颗粒进行矢量分析。喷嚏云中颗粒或颗粒团的初始速度大于 6m/s,但随着颗粒向前移动而减小;颗粒的动量似乎在 0.15-0.20s 内丧失,并开始扩散运动。通过矢量分析获得了代表前线颗粒动力学的速度随时间变化的近似函数方程。该方法也应用于咳嗽。志愿者吸烟后自愿咳嗽呼出的烟雾中包含微云,可作为咳嗽时看不见的生物颗粒的可见空气动力学替代物进行追踪。咳嗽烟雾微云的初始速度大于 5m/s。最快的微云位于向前移动的云团的最前沿;然而,它们的速度在 0.05s 后明显下降,开始在环境气流中扩散。通过使用获得的方程进行计算,估计了喷嚏和咳嗽产生的无环境气流影响的颗粒和微云的最大直接射程,分别约为 84cm 和 30cm,均在约 0.2s 内完成,表明通过计算获得了喷嚏和咳嗽动力学的数据。