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https://hdl.handle.net/11147/12485
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Güleç, Fatih | en_US |
dc.contributor.author | Atakan, Barış | en_US |
dc.contributor.author | Dressler, Falko | en_US |
dc.date.accessioned | 2022-09-29T07:42:02Z | - |
dc.date.available | 2022-09-29T07:42:02Z | - |
dc.date.issued | 2022-06 | - |
dc.identifier.issn | 1878-7789 | - |
dc.identifier.uri | https://doi.org/10.1016/j.nancom.2022.100410 | - |
dc.identifier.uri | https://hdl.handle.net/11147/12485 | - |
dc.description.abstract | A number of transmission models for airborne pathogens transmission, as required to understand airborne infectious diseases such as COVID-19, have been proposed independently from each other, at different scales, and by researchers from various disciplines. We propose a communication engineering approach that blends different disciplines such as epidemiology, biology, medicine, and fluid dynamics. The aim is to present a unified framework using communication engineering, and to highlight future research directions for modeling the spread of infectious diseases through airborne transmission. We introduce the concept of mobile human ad hoc networks (MoHANETs), which exploits the similarity of airborne transmission-driven human groups with mobile ad hoc networks and uses molecular communication as the enabling paradigm. In the MoHANET architecture, a layered structure is employed where the infectious human emitting pathogen-laden droplets and the exposed human to these droplets are considered as the transmitter and receiver, respectively. Our proof-of-concept results, which we validated using empirical COVID-19 data, clearly demonstrate the ability of our MoHANET architecture to predict the dynamics of infectious diseases by considering the propagation of pathogen-laden droplets, their reception and mobility of humans. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Elsevier | en_US |
dc.relation | Moleküler Haberleşmede Sinyalin Yeniden Oluşturulması | en_US |
dc.relation.ispartof | Nano Communication Networks | en_US |
dc.rights | info:eu-repo/semantics/openAccess | en_US |
dc.subject | Airborne pathogen transmission | en_US |
dc.subject | COVID-19 | en_US |
dc.subject | Epidemiology | en_US |
dc.subject | Infectious disease | en_US |
dc.subject | Molecular communication | en_US |
dc.title | Mobile human ad hoc networks: A communication engineering viewpoint on interhuman airborne pathogen transmission | en_US |
dc.type | Article | en_US |
dc.authorid | 0000-0003-1031-6108 | en_US |
dc.authorid | 0000-0002-2310-8175 | en_US |
dc.institutionauthor | Güleç, Fatih | en_US |
dc.institutionauthor | Atakan, Barış | en_US |
dc.department | İzmir Institute of Technology. Electrical and Electronics Engineering | en_US |
dc.identifier.wos | WOS:000849614900001 | en_US |
dc.identifier.scopus | 2-s2.0-85136636418 | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.identifier.doi | 10.1016/j.nancom.2022.100410 | - |
dc.identifier.pmid | 35996611 | - |
dc.relation.issn | 1878-7789 | en_US |
dc.description.volume | 32-33 | en_US |
dc.relation.grantno | 1.19E+43 | en_US |
dc.identifier.wosquality | Q2 | - |
dc.identifier.scopusquality | Q2 | - |
item.fulltext | With Fulltext | - |
item.grantfulltext | open | - |
item.languageiso639-1 | en | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.cerifentitytype | Publications | - |
item.openairetype | Article | - |
crisitem.author.dept | 01.01. Units Affiliated to the Rectorate | - |
crisitem.author.dept | 03.05. Department of Electrical and Electronics Engineering | - |
Appears in Collections: | Electrical - Electronic Engineering / Elektrik - Elektronik Mühendisliği PubMed İndeksli Yayınlar Koleksiyonu / PubMed Indexed Publications Collection Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection |
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File | Description | Size | Format | |
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1-s2.0-S187877892200014X-main.pdf | Article (Makale) | 1.23 MB | Adobe PDF | View/Open |
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