The motion of respiratory droplets produced by coughing
Hongping Wang, Zhaobin Li, Xinlei Zhang, Lixing Zhu, Yi Liu, Shizhao, Wang

TL;DR
This study measures and models the motion of respiratory droplets from coughing, revealing how droplet size, evaporation, and weather conditions influence their travel distance, which is crucial for understanding COVID-19 transmission.
Contribution
It combines experimental flow visualization with a physical model to predict droplet behavior under various weather conditions, advancing understanding of respiratory droplet transmission.
Findings
Small droplets evaporate to droplet nuclei.
Large droplets can travel over 2 meters.
Winter conditions promote droplet settling.
Abstract
Coronavirus disease 2019 (COVID-19) has become a global pandemic infectious respiratory disease with high mortality and infectiousness. This paper investigates respiratory droplet transmission, which is critical to understanding, modeling and controlling epidemics. In the present work, we implemented flow visualization, particle image velocimetry (PIV) and particle shadow tracking velocimetry (PSTV) to measure the velocity of the airflow and droplets involved in coughing and then constructed a physical model considering the evaporation effect to predict the motion of droplets under different weather conditions. The experimental results indicate that the convection velocity of cough airflow presents the relationship with time; hence, the distance from the cougher increases by in the range of our measurement domain. Substituting these experimental results into the…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
