Mobile human ad hoc networks: A communication engineering viewpoint on interhuman airborne pathogen transmission

dc.contributor.author Güleç, Fatih
dc.contributor.author Atakan, Barış
dc.contributor.author Dressler, Falko
dc.date.accessioned 2022-09-29T07:42:02Z
dc.date.available 2022-09-29T07:42:02Z
dc.date.issued 2022
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.identifier.doi 10.1016/j.nancom.2022.100410
dc.identifier.issn 1878-7789 en_US
dc.identifier.issn 1878-7789
dc.identifier.scopus 2-s2.0-85136636418
dc.identifier.uri https://doi.org/10.1016/j.nancom.2022.100410
dc.identifier.uri https://hdl.handle.net/11147/12485
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
dspace.entity.type Publication
gdc.author.id 0000-0003-1031-6108
gdc.author.id 0000-0002-2310-8175
gdc.author.id 0000-0003-1031-6108 en_US
gdc.author.id 0000-0002-2310-8175 en_US
gdc.author.institutional Güleç, Fatih
gdc.author.institutional Atakan, Barış
gdc.bip.impulseclass C5
gdc.bip.influenceclass C5
gdc.bip.popularityclass C5
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.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality Q2
gdc.description.volume 32-33 en_US
gdc.description.wosquality Q2
gdc.identifier.openalex W3096108585
gdc.identifier.pmid 35996611
gdc.identifier.wos WOS:000849614900001
gdc.index.type WoS
gdc.index.type Scopus
gdc.index.type PubMed
gdc.oaire.diamondjournal false
gdc.oaire.impulse 4.0
gdc.oaire.influence 3.012721E-9
gdc.oaire.isgreen true
gdc.oaire.keywords Signal Processing (eess.SP)
gdc.oaire.keywords Social and Information Networks (cs.SI)
gdc.oaire.keywords FOS: Computer and information sciences
gdc.oaire.keywords Computer Science - Social and Information Networks
gdc.oaire.keywords Other Quantitative Biology (q-bio.OT)
gdc.oaire.keywords Quantitative Biology - Other Quantitative Biology
gdc.oaire.keywords Article
gdc.oaire.keywords FOS: Biological sciences
gdc.oaire.keywords FOS: Electrical engineering, electronic engineering, information engineering
gdc.oaire.keywords Electrical Engineering and Systems Science - Signal Processing
gdc.oaire.popularity 4.092893E-9
gdc.oaire.publicfunded false
gdc.oaire.sciencefields 0301 basic medicine
gdc.oaire.sciencefields 0303 health sciences
gdc.oaire.sciencefields 03 medical and health sciences
gdc.openalex.collaboration International
gdc.openalex.fwci 1.28545047
gdc.openalex.normalizedpercentile 0.73
gdc.opencitations.count 4
gdc.plumx.crossrefcites 2
gdc.plumx.mendeley 12
gdc.plumx.scopuscites 4
gdc.scopus.citedcount 4
gdc.wos.citedcount 4
relation.isAuthorOfPublication.latestForDiscovery 71d78e67-6001-40eb-a41f-bb9d02dfd198
relation.isOrgUnitOfPublication.latestForDiscovery 9711dc3e-de1f-44ab-8c8a-00d8a2db8ba5

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