A Molecular Communication Perspective on Airborne Pathogen Transmission and Reception Via Droplets Generated by Coughing and Sneezing

dc.contributor.author Güleç, Fatih
dc.contributor.author Atakan, Barış
dc.date.accessioned 2021-11-06T09:47:01Z
dc.date.available 2021-11-06T09:47:01Z
dc.date.issued 2021
dc.description.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. en_US
dc.description.sponsorship This work was supported by the Scientific and Technological Research Council of Turkey (TUBITAK) under Grant 119E041. en_US
dc.identifier.doi 10.1109/TMBMC.2021.3083723
dc.identifier.issn 2332-7804
dc.identifier.scopus 2-s2.0-85107198331
dc.identifier.uri https://doi.org/10.1109/TMBMC.2021.3083723
dc.identifier.uri https://hdl.handle.net/11147/11382
dc.language.iso en en_US
dc.publisher IEEE en_US
dc.relation.ispartof IEEE Transactions on Molecular, Biological, and Multi - Scale Communications en_US
dc.rights info:eu-repo/semantics/openAccess en_US
dc.subject Atmospheric modeling en_US
dc.subject Pathogens en_US
dc.subject Biological system modeling en_US
dc.subject Gravity en_US
dc.subject Trajectory en_US
dc.subject Numerical models en_US
dc.subject Receivers en_US
dc.subject Airborne pathogen transmission en_US
dc.title A Molecular Communication Perspective on Airborne Pathogen Transmission and Reception Via Droplets Generated by Coughing and Sneezing en_US
dc.type Article en_US
dspace.entity.type Publication
gdc.author.id 0000-0002-2310-8175
gdc.author.id 0000-0002-2310-8175 en_US
gdc.author.institutional Güleç, Fatih
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gdc.coar.access open access
gdc.coar.type text::journal::journal article
gdc.collaboration.industrial false
gdc.description.department İzmir Institute of Technology. Electrical and Electronics Engineering en_US
gdc.description.endpage 184 en_US
gdc.description.issue 3 en_US
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality Q3
gdc.description.startpage 175 en_US
gdc.description.volume 7 en_US
gdc.description.wosquality Q3
gdc.identifier.openalex W3043250664
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gdc.oaire.keywords Signal Processing (eess.SP)
gdc.oaire.keywords FOS: Electrical engineering, electronic engineering, information engineering
gdc.oaire.keywords Systems and Control (eess.SY)
gdc.oaire.keywords Electrical Engineering and Systems Science - Signal Processing
gdc.oaire.keywords Electrical Engineering and Systems Science - Systems and Control
gdc.oaire.popularity 1.3353193E-8
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gdc.oaire.sciencefields 0202 electrical engineering, electronic engineering, information engineering
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gdc.opencitations.count 12
gdc.plumx.crossrefcites 1
gdc.plumx.mendeley 22
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gdc.scopus.citedcount 14
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