{"id":"https://openalex.org/W3183652050","doi":"https://doi.org/10.23919/acc50511.2021.9482733","title":"Analysis of the Impact of Mask-wearing in Viral Spread: Implications for COVID-19","display_name":"Analysis of the Impact of Mask-wearing in Viral Spread: Implications for COVID-19","publication_year":2021,"publication_date":"2021-05-25","ids":{"openalex":"https://openalex.org/W3183652050","doi":"https://doi.org/10.23919/acc50511.2021.9482733","mag":"3183652050"},"language":"en","primary_location":{"id":"doi:10.23919/acc50511.2021.9482733","is_oa":false,"landing_page_url":"https://doi.org/10.23919/acc50511.2021.9482733","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 American Control Conference (ACC)","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/A5073401793","display_name":"Yurun Tian","orcid":"https://orcid.org/0000-0002-9518-3430"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yurun Tian","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Carnegie Mellon University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007666586","display_name":"Anirudh Sridhar","orcid":"https://orcid.org/0000-0001-8732-7708"},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anirudh Sridhar","raw_affiliation_strings":["Department of Electrical Engineering, Princeton University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Princeton University","institution_ids":["https://openalex.org/I20089843"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064066193","display_name":"Osman Ya\u011fan","orcid":"https://orcid.org/0000-0002-7057-2966"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Osman Yagan","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Carnegie Mellon University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042307561","display_name":"H. Vincent Poor","orcid":"https://orcid.org/0000-0002-2062-131X"},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"H. Vincent Poor","raw_affiliation_strings":["Department of Electrical Engineering, Princeton University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Princeton University","institution_ids":["https://openalex.org/I20089843"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.5751,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.83341314,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"3132","last_page":"3137"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10410","display_name":"COVID-19 epidemiological studies","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2611","display_name":"Modeling and Simulation"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.995199978351593,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.6232516765594482},{"id":"https://openalex.org/keywords/transmission","display_name":"Transmission (telecommunications)","score":0.5857899785041809},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5769884586334229},{"id":"https://openalex.org/keywords/pandemic","display_name":"Pandemic","score":0.5608620643615723},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.49612149596214294},{"id":"https://openalex.org/keywords/limit","display_name":"Limit (mathematics)","score":0.49533453583717346},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.48223790526390076},{"id":"https://openalex.org/keywords/percolation","display_name":"Percolation (cognitive psychology)","score":0.4295705258846283},{"id":"https://openalex.org/keywords/severe-acute-respiratory-syndrome-coronavirus-2","display_name":"Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)","score":0.4208775758743286},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20646652579307556},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.18215784430503845},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.09006574749946594},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.07916590571403503}],"concepts":[{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.6232516765594482},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.5857899785041809},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5769884586334229},{"id":"https://openalex.org/C89623803","wikidata":"https://www.wikidata.org/wiki/Q12184","display_name":"Pandemic","level":5,"score":0.5608620643615723},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.49612149596214294},{"id":"https://openalex.org/C151201525","wikidata":"https://www.wikidata.org/wiki/Q177239","display_name":"Limit (mathematics)","level":2,"score":0.49533453583717346},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.48223790526390076},{"id":"https://openalex.org/C2780457167","wikidata":"https://www.wikidata.org/wiki/Q17156484","display_name":"Percolation (cognitive psychology)","level":2,"score":0.4295705258846283},{"id":"https://openalex.org/C3007834351","wikidata":"https://www.wikidata.org/wiki/Q82069695","display_name":"Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)","level":5,"score":0.4208775758743286},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20646652579307556},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.18215784430503845},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.09006574749946594},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.07916590571403503},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C524204448","wikidata":"https://www.wikidata.org/wiki/Q788926","display_name":"Infectious disease (medical specialty)","level":3,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"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},{"id":"https://openalex.org/C99454951","wikidata":"https://www.wikidata.org/wiki/Q932068","display_name":"Environmental health","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/acc50511.2021.9482733","is_oa":false,"landing_page_url":"https://doi.org/10.23919/acc50511.2021.9482733","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 American Control Conference (ACC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.8700000047683716,"display_name":"Good health and well-being"}],"awards":[{"id":"https://openalex.org/G5945920855","display_name":null,"funder_award_id":"RAPID-2026985,RAPID-2026982,CCF-1813637,DMS-1811724","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8556724048","display_name":null,"funder_award_id":"W911NF-20-1-0204,W911NF-17-1-0587","funder_id":"https://openalex.org/F4320338281","funder_display_name":"Army Research Office"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320338281","display_name":"Army Research Office","ror":"https://ror.org/05epdh915"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W390146837","https://openalex.org/W1906064751","https://openalex.org/W1989960380","https://openalex.org/W1992380820","https://openalex.org/W1994570973","https://openalex.org/W2002944058","https://openalex.org/W2004826528","https://openalex.org/W2030539428","https://openalex.org/W2044881936","https://openalex.org/W2110852762","https://openalex.org/W2154169270","https://openalex.org/W2169015768","https://openalex.org/W2584686170","https://openalex.org/W2805503606","https://openalex.org/W2905110430","https://openalex.org/W2964101545","https://openalex.org/W3010635092","https://openalex.org/W3014271510","https://openalex.org/W3018363786","https://openalex.org/W3020358767","https://openalex.org/W3077189563","https://openalex.org/W3095894342","https://openalex.org/W3105940665","https://openalex.org/W4239923152","https://openalex.org/W4292156591","https://openalex.org/W6775405914"],"related_works":["https://openalex.org/W3136336094","https://openalex.org/W4200558412","https://openalex.org/W120539917","https://openalex.org/W3165628818","https://openalex.org/W4281740907","https://openalex.org/W4281257067","https://openalex.org/W3131084444","https://openalex.org/W4401713459","https://openalex.org/W3118468330","https://openalex.org/W3117641683"],"abstract_inverted_index":{"Masks":[0],"are":[1],"used":[2],"as":[3,94],"part":[4],"of":[5,9,25,45,73,92,96,99,110,116,124],"a":[6,58,64],"comprehensive":[7],"strategy":[8],"measures":[10],"to":[11,131],"limit":[12],"transmission":[13,104],"and":[14,77,90,107,121,154],"save":[15],"lives":[16],"during":[17],"the":[18,23,28,43,86,97,100,111,114,119,122,125,132,147,150,155],"COVID-19":[19,29],"pandemic.":[20],"Research":[21],"about":[22],"impact":[24,44],"mask-wearing":[26,46],"in":[27,47,118],"pandemic":[30],"has":[31],"raised":[32],"formidable":[33],"interest":[34],"across":[35],"multiple":[36],"disciplines.":[37],"In":[38,129],"this":[39],"paper,":[40],"we":[41,135],"investigate":[42],"spreading":[48,101,158],"processes":[49],"over":[50,63],"complex":[51],"networks.":[52,142],"This":[53],"is":[54],"done":[55],"by":[56,164],"studying":[57],"heterogeneous":[59],"bond":[60],"percolation":[61],"process":[62,102],"multi-type":[65],"network":[66],"model,":[67],"where":[68],"nodes":[69],"can":[70],"be":[71],"one":[72],"two":[74],"types":[75],"(mask-wearing,":[76],"not-mask-wearing).":[78],"We":[79,143],"provide":[80],"analytical":[81],"results":[82],"that":[83],"accurately":[84],"predict":[85],"expected":[87],"epidemic":[88],"size":[89],"probability":[91],"emergence":[93],"functions":[95],"characteristics":[98],"(e.g.,":[103],"probabilities,":[105],"inward":[106],"outward":[108],"efficiency":[109],"masks,":[112],"etc.),":[113],"proportion":[115],"mask-wearers":[117],"population,":[120],"structure":[123],"underlying":[126],"contact":[127],"network.":[128],"addition":[130],"theoretical":[133],"analysis,":[134],"also":[136,144],"conduct":[137],"extensive":[138],"simulations":[139],"on":[140,146],"random":[141],"comment":[145],"analogy":[148],"between":[149],"mask-model":[151],"studied":[152,162],"here":[153],"multiple-strain":[156],"viral":[157],"model":[159],"with":[160],"mutations":[161],"recently":[163],"Eletreby":[165],"et":[166],"al.":[167]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
