Please use this identifier to cite or link to this item:
https://hdl.handle.net/11147/11382
Title: | A molecular communication perspective on airborne pathogen transmission and reception via droplets generated by coughing and sneezing | Authors: | Güleç, Fatih Atakan, Barış |
Keywords: | Atmospheric modeling Pathogens Biological system modeling Gravity Trajectory Numerical models Receivers Airborne pathogen transmission |
Publisher: | IEEE | Abstract: | Infectious diseases spread via pathogens such as viruses and bacteria. Airborne pathogen transmission via droplets is an important mode for infectious diseases. In this paper, the spreading mechanism of infectious diseases by airborne pathogen transmission between two humans is modeled with a molecular communication perspective. An end-to-end system model which considers the pathogen-laden cough/sneeze droplets as the input and the infection state of the human as the output is proposed. This model uses the gravity, initial velocity and buoyancy for the propagation of droplets and a receiver model which considers the central part of the human face as the reception interface is proposed. Furthermore, the probability of infection for an uninfected human is derived by modeling the number of propagating droplets as a random process. The numerical results reveal that exposure time affects the probability of infection. In addition, the social distance for a horizontal cough should be at least 1.7 m and the safe coughing angle of a coughing human to infect less people should be less than -25 degrees. | URI: | https://doi.org/10.1109/TMBMC.2021.3083723 https://hdl.handle.net/11147/11382 |
ISSN: | 2332-7804 |
Appears in Collections: | Electrical - Electronic Engineering / Elektrik - Elektronik Mühendisliği Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection |
Files in This Item:
File | Size | Format | |
---|---|---|---|
A_Molecular.pdf | 1.26 MB | Adobe PDF | View/Open |
CORE Recommender
SCOPUSTM
Citations
12
checked on Nov 15, 2024
WEB OF SCIENCETM
Citations
11
checked on Nov 9, 2024
Page view(s)
7,738
checked on Nov 18, 2024
Download(s)
172
checked on Nov 18, 2024
Google ScholarTM
Check
Altmetric
Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.