{"id":"https://openalex.org/W4315630421","doi":"https://doi.org/10.1109/globecom48099.2022.10001692","title":"Characterization of Airborne Pathogen Transmission in Turbulent Molecular Communication Channels","display_name":"Characterization of Airborne Pathogen Transmission in Turbulent Molecular Communication Channels","publication_year":2022,"publication_date":"2022-12-04","ids":{"openalex":"https://openalex.org/W4315630421","doi":"https://doi.org/10.1109/globecom48099.2022.10001692"},"language":"en","primary_location":{"id":"doi:10.1109/globecom48099.2022.10001692","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom48099.2022.10001692","pdf_url":null,"source":{"id":"https://openalex.org/S4363607705","display_name":"GLOBECOM 2022 - 2022 IEEE Global Communications Conference","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"GLOBECOM 2022 - 2022 IEEE Global Communications Conference","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5001430420","display_name":"Fatih G\u00fcle\u00e7","orcid":"https://orcid.org/0000-0003-1031-6108"},"institutions":[{"id":"https://openalex.org/I192455969","display_name":"York University","ror":"https://ror.org/05fq50484","country_code":"CA","type":"education","lineage":["https://openalex.org/I192455969"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Fatih Gulec","raw_affiliation_strings":["York University,Department of Electrical Engineering and Computer Science,Toronto,Ontario,Canada","School of Electrical Engineering and Computer Science, Berlin, Germany","Department of Electrical Engineering and Computer Science, York University, Toronto, Ontario, Canada"],"affiliations":[{"raw_affiliation_string":"York University,Department of Electrical Engineering and Computer Science,Toronto,Ontario,Canada","institution_ids":["https://openalex.org/I192455969"]},{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, Berlin, Germany","institution_ids":[]},{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, York University, Toronto, Ontario, Canada","institution_ids":["https://openalex.org/I192455969"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042212040","display_name":"Falko Dressler","orcid":"https://orcid.org/0000-0002-1989-1750"},"institutions":[{"id":"https://openalex.org/I205892228","display_name":"Berlin School of Economics and Law","ror":"https://ror.org/03rkmps36","country_code":"DE","type":"education","lineage":["https://openalex.org/I205892228"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Falko Dressler","raw_affiliation_strings":["School of Electrical Engineering and Computer Science,Berlin,Germany","School of Electrical Engineering and Computer Science, Berlin, Germany"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Computer Science,Berlin,Germany","institution_ids":["https://openalex.org/I205892228"]},{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, Berlin, Germany","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046532019","display_name":"Andrew W. Eckford","orcid":"https://orcid.org/0000-0002-9808-1229"},"institutions":[{"id":"https://openalex.org/I192455969","display_name":"York University","ror":"https://ror.org/05fq50484","country_code":"CA","type":"education","lineage":["https://openalex.org/I192455969"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Andrew W. Eckford","raw_affiliation_strings":["York University,Department of Electrical Engineering and Computer Science,Toronto,Ontario,Canada","Department of Electrical Engineering and Computer Science, York University, Toronto, Ontario, Canada"],"affiliations":[{"raw_affiliation_string":"York University,Department of Electrical Engineering and Computer Science,Toronto,Ontario,Canada","institution_ids":["https://openalex.org/I192455969"]},{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, York University, Toronto, Ontario, Canada","institution_ids":["https://openalex.org/I192455969"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5001430420"],"corresponding_institution_ids":["https://openalex.org/I192455969"],"apc_list":null,"apc_paid":null,"fwci":0.9618,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.751207,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"4523","last_page":"4528"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13052","display_name":"Molecular Communication and Nanonetworks","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13052","display_name":"Molecular Communication and Nanonetworks","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11255","display_name":"Microfluidic and Bio-sensing Technologies","score":0.9878000020980835,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11651","display_name":"Inhalation and Respiratory Drug Delivery","score":0.9621999859809875,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/turbulence","display_name":"Turbulence","score":0.808452844619751},{"id":"https://openalex.org/keywords/statistical-physics","display_name":"Statistical physics","score":0.6052858233451843},{"id":"https://openalex.org/keywords/reynolds-number","display_name":"Reynolds number","score":0.5876374244689941},{"id":"https://openalex.org/keywords/computational-fluid-dynamics","display_name":"Computational fluid dynamics","score":0.5555729866027832},{"id":"https://openalex.org/keywords/dispersion","display_name":"Dispersion (optics)","score":0.5106392502784729},{"id":"https://openalex.org/keywords/weibull-distribution","display_name":"Weibull distribution","score":0.5013415813446045},{"id":"https://openalex.org/keywords/transmission","display_name":"Transmission (telecommunications)","score":0.4712679088115692},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.45998257398605347},{"id":"https://openalex.org/keywords/airborne-transmission","display_name":"Airborne transmission","score":0.4510381817817688},{"id":"https://openalex.org/keywords/probability-distribution","display_name":"Probability distribution","score":0.41286763548851013},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3844938576221466},{"id":"https://openalex.org/keywords/biological-system","display_name":"Biological system","score":0.36029252409935},{"id":"https://openalex.org/keywords/mechanics","display_name":"Mechanics","score":0.34935757517814636},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.3414088189601898},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22100278735160828},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.21752998232841492},{"id":"https://openalex.org/keywords/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.19198471307754517},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.1780189573764801},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1532994508743286},{"id":"https://openalex.org/keywords/infectious-disease","display_name":"Infectious disease (medical specialty)","score":0.14688637852668762},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.12242019176483154}],"concepts":[{"id":"https://openalex.org/C196558001","wikidata":"https://www.wikidata.org/wiki/Q190132","display_name":"Turbulence","level":2,"score":0.808452844619751},{"id":"https://openalex.org/C121864883","wikidata":"https://www.wikidata.org/wiki/Q677916","display_name":"Statistical physics","level":1,"score":0.6052858233451843},{"id":"https://openalex.org/C182748727","wikidata":"https://www.wikidata.org/wiki/Q178932","display_name":"Reynolds number","level":3,"score":0.5876374244689941},{"id":"https://openalex.org/C1633027","wikidata":"https://www.wikidata.org/wiki/Q815820","display_name":"Computational fluid dynamics","level":2,"score":0.5555729866027832},{"id":"https://openalex.org/C177562468","wikidata":"https://www.wikidata.org/wiki/Q182893","display_name":"Dispersion (optics)","level":2,"score":0.5106392502784729},{"id":"https://openalex.org/C173291955","wikidata":"https://www.wikidata.org/wiki/Q732332","display_name":"Weibull distribution","level":2,"score":0.5013415813446045},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.4712679088115692},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.45998257398605347},{"id":"https://openalex.org/C2908974078","wikidata":"https://www.wikidata.org/wiki/Q381481","display_name":"Airborne transmission","level":5,"score":0.4510381817817688},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.41286763548851013},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3844938576221466},{"id":"https://openalex.org/C186060115","wikidata":"https://www.wikidata.org/wiki/Q30336093","display_name":"Biological system","level":1,"score":0.36029252409935},{"id":"https://openalex.org/C57879066","wikidata":"https://www.wikidata.org/wiki/Q41217","display_name":"Mechanics","level":1,"score":0.34935757517814636},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.3414088189601898},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22100278735160828},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.21752998232841492},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.19198471307754517},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.1780189573764801},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1532994508743286},{"id":"https://openalex.org/C524204448","wikidata":"https://www.wikidata.org/wiki/Q788926","display_name":"Infectious disease (medical specialty)","level":3,"score":0.14688637852668762},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.12242019176483154},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/globecom48099.2022.10001692","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom48099.2022.10001692","pdf_url":null,"source":{"id":"https://openalex.org/S4363607705","display_name":"GLOBECOM 2022 - 2022 IEEE Global Communications Conference","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"GLOBECOM 2022 - 2022 IEEE Global Communications Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320875","display_name":"Deutscher Akademischer Austauschdienst","ror":"https://ror.org/039djdh30"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W606491494","https://openalex.org/W1973790385","https://openalex.org/W1997155780","https://openalex.org/W2032777079","https://openalex.org/W2122273491","https://openalex.org/W2122396341","https://openalex.org/W2154905738","https://openalex.org/W2261880890","https://openalex.org/W2898961071","https://openalex.org/W3013448927","https://openalex.org/W3015383773","https://openalex.org/W3022944898","https://openalex.org/W3026744586","https://openalex.org/W3036142528","https://openalex.org/W3042432271","https://openalex.org/W3048381943","https://openalex.org/W3049412541","https://openalex.org/W3084418970","https://openalex.org/W3096875040","https://openalex.org/W3101706108","https://openalex.org/W3152749975","https://openalex.org/W3153771247","https://openalex.org/W3156637493","https://openalex.org/W3165511065","https://openalex.org/W3180256654","https://openalex.org/W3199888844","https://openalex.org/W4301253858","https://openalex.org/W6606759994"],"related_works":["https://openalex.org/W3083898685","https://openalex.org/W1973754976","https://openalex.org/W189075692","https://openalex.org/W4220847856","https://openalex.org/W4220801072","https://openalex.org/W2328223263","https://openalex.org/W2374817159","https://openalex.org/W4220691425","https://openalex.org/W2037820527","https://openalex.org/W4226215114"],"abstract_inverted_index":{"Airborne":[0],"pathogen":[1,34],"transmission":[2,35],"mechanisms":[3],"play":[4],"a":[5,22,43,89,148],"key":[6],"role":[7],"in":[8,39,115],"the":[9,56,78,85,95,108,112,116,121,129,136,144],"spread":[10],"of":[11,59,97,111,123,138,151],"infectious":[12],"diseases":[13],"such":[14],"as":[15,147],"COVID-19.":[16],"In":[17],"this":[18,48],"work,":[19],"we":[20],"propose":[21],"computational":[23],"fluid":[24],"dynamics":[25],"(CFD)":[26],"approach":[27],"to":[28,106,119],"model":[29,76],"and":[30,55,61,77,118,153],"statistically":[31],"characterize":[32],"airborne":[33],"via":[36],"pathogen-laden":[37],"particles":[38,99],"turbulent":[40,50,57,113],"channels":[41],"from":[42],"molecular":[44],"communication":[45],"viewpoint.":[46],"To":[47],"end,":[49],"flows":[51],"induced":[52],"by":[53,65,88,143],"coughing":[54],"dispersion":[58],"droplets":[60],"aerosols":[62],"are":[63,100,104],"modeled":[64],"using":[66],"Reynolds-averaged":[67],"Navier-Stokes":[68],"equations":[69],"coupled":[70],"with":[71],"realizable":[72],"<tex":[73],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[74],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$k-\\epsilon$</tex>":[75],"discrete":[79],"random":[80],"walk":[81],"model,":[82],"respectively.":[83],"Via":[84],"simulations":[86],"realized":[87],"CFD":[90],"simulator,":[91],"statistical":[92,109],"data":[93,103],"for":[94],"number":[96],"received":[98],"obtained.":[101],"These":[102],"post-processed":[105],"obtain":[107],"characterization":[110],"effect":[114,134],"reception":[117],"derive":[120],"probability":[122,137],"infection.":[124],"Our":[125],"results":[126],"reveal":[127],"that":[128],"turbulence":[130],"has":[131],"an":[132],"irregular":[133],"on":[135],"infection":[139],"which":[140],"shows":[141],"itself":[142],"multimodal":[145],"distributions":[146],"weighted":[149],"sum":[150],"normal":[152],"Weibull":[154],"distributions.":[155]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}