| Literature DB >> 33100940 |
Mehmet Aydin1, Fatih Evrendilek2, Seckin Aydin Savas3, Ismail Erkan Aydin4, Deniz Eren Evrendilek5.
Abstract
PURPOSE: The purpose of this study is to quantify the motion dynamics of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2).Entities:
Keywords: 2019-nCoV; COVID-19; Newton’s laws; SARS-CoV-2; Stokes’s law
Year: 2020 PMID: 33100940 PMCID: PMC7571304 DOI: 10.1007/s40846-020-00575-y
Source DB: PubMed Journal: J Med Biol Eng ISSN: 1609-0985 Impact factor: 1.553
Fig. 1a Free-fall time of SARS-CoV-2 without a respiratory droplet, and horizontal distance travelled depending on its velocity due to b breathing and talking, and c sneezing and coughing as a function of human height
Fig. 2Falling dynamics of SARS-CoV-2 without a respiratory droplet under the gravity with air resistance according to a Newton’s and b Stokes’s laws as a function of human height
Fig. 3Falling time of SARS-CoV-2 with a respiratory droplet under the gravity with air resistance according to Newton’s law as a function of the droplet diameter and human height
Fig. 4Falling time of SARS-CoV-2 with a respiratory droplet under the gravity with air resistance according to Stokes’s law as a function of the droplet diameter and human height
The best-fit simple linear regression models between the falling times of a respiratory droplet with SARS-CoV-2 estimated by Stokes’s (x) and Newton’s (y) equations (r2 = 100%; n = 8; p < 0.05)
| Diameter (µm) | Regression equation | Diameter (µm) | Regression equation |
|---|---|---|---|
| 1 | 200 | ||
| 5 | 300 | ||
| 15 | 500 | ||
| 30 | 1000 | ||
| 50 | 2000 | ||
| 100 |
The droplet diameter shown in bold led to the same falling time regardless of the two models
Fig. 5Lognormal probability density and cumulative distribution functions of the falling times of a respiratory droplet with SARS-CoV-2 according to a–b Newton’s and c–d Stokes’s laws, respectively