{"id":"https://openalex.org/W3135797626","doi":"https://doi.org/10.1109/gcwkshps50303.2020.9367567","title":"Analyzing Social Distancing and Seasonality of COVID-19 with Mean Field Evolutionary Dynamics","display_name":"Analyzing Social Distancing and Seasonality of COVID-19 with Mean Field Evolutionary Dynamics","publication_year":2020,"publication_date":"2020-12-01","ids":{"openalex":"https://openalex.org/W3135797626","doi":"https://doi.org/10.1109/gcwkshps50303.2020.9367567","mag":"3135797626"},"language":"en","primary_location":{"id":"doi:10.1109/gcwkshps50303.2020.9367567","is_oa":true,"landing_page_url":"https://doi.org/10.1109/gcwkshps50303.2020.9367567","pdf_url":"https://ieeexplore.ieee.org/ielx7/9367371/9367388/09367567.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Globecom Workshops (GC Wkshps","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/9367371/9367388/09367567.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5063591390","display_name":"Hao Gao","orcid":"https://orcid.org/0000-0002-0505-3676"},"institutions":[{"id":"https://openalex.org/I44461941","display_name":"University of Houston","ror":"https://ror.org/048sx0r50","country_code":"US","type":"education","lineage":["https://openalex.org/I44461941"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hao Gao","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Houston, Houston, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Houston, Houston, TX, USA","institution_ids":["https://openalex.org/I44461941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043410025","display_name":"Wuchen Li","orcid":"https://orcid.org/0000-0002-2218-5734"},"institutions":[{"id":"https://openalex.org/I155781252","display_name":"University of South Carolina","ror":"https://ror.org/02b6qw903","country_code":"US","type":"education","lineage":["https://openalex.org/I155781252"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wuchen Li","raw_affiliation_strings":["Department of Mathematics, University of South Carolina, Columbia, SC, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics, University of South Carolina, Columbia, SC, USA","institution_ids":["https://openalex.org/I155781252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047722991","display_name":"Miao Pan","orcid":"https://orcid.org/0000-0003-2138-4413"},"institutions":[{"id":"https://openalex.org/I44461941","display_name":"University of Houston","ror":"https://ror.org/048sx0r50","country_code":"US","type":"education","lineage":["https://openalex.org/I44461941"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Miao Pan","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Houston, Houston, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Houston, Houston, TX, USA","institution_ids":["https://openalex.org/I44461941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063667378","display_name":"Zhu Han","orcid":"https://orcid.org/0000-0002-6606-5822"},"institutions":[{"id":"https://openalex.org/I44461941","display_name":"University of Houston","ror":"https://ror.org/048sx0r50","country_code":"US","type":"education","lineage":["https://openalex.org/I44461941"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhu Han","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Houston, Houston, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Houston, Houston, TX, USA","institution_ids":["https://openalex.org/I44461941"]}]},{"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, Princeton, NJ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Princeton University, Princeton, NJ, USA","institution_ids":["https://openalex.org/I20089843"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1046,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.521328,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"15","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10410","display_name":"COVID-19 epidemiological studies","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T10410","display_name":"COVID-19 epidemiological studies","score":0.9997000098228455,"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/T10482","display_name":"Mathematical and Theoretical Epidemiology and Ecology Models","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/2739","display_name":"Public Health, Environmental and Occupational Health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11764","display_name":"Evolution and Genetic Dynamics","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/1311","display_name":"Genetics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/pandemic","display_name":"Pandemic","score":0.6117462515830994},{"id":"https://openalex.org/keywords/epidemic-model","display_name":"Epidemic model","score":0.6025725603103638},{"id":"https://openalex.org/keywords/replicator-equation","display_name":"Replicator equation","score":0.5962100028991699},{"id":"https://openalex.org/keywords/social-distance","display_name":"Social distance","score":0.5855687260627747},{"id":"https://openalex.org/keywords/evolutionary-game-theory","display_name":"Evolutionary game theory","score":0.5281372666358948},{"id":"https://openalex.org/keywords/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.5000650882720947},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.471972793340683},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.46334701776504517},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.41497525572776794},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.40286898612976074},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.3328057527542114},{"id":"https://openalex.org/keywords/mathematical-economics","display_name":"Mathematical economics","score":0.30216360092163086},{"id":"https://openalex.org/keywords/game-theory","display_name":"Game theory","score":0.29339104890823364},{"id":"https://openalex.org/keywords/demography","display_name":"Demography","score":0.2431454360485077},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2323378622531891},{"id":"https://openalex.org/keywords/sociology","display_name":"Sociology","score":0.13024252653121948},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.12489748001098633}],"concepts":[{"id":"https://openalex.org/C89623803","wikidata":"https://www.wikidata.org/wiki/Q12184","display_name":"Pandemic","level":5,"score":0.6117462515830994},{"id":"https://openalex.org/C1627819","wikidata":"https://www.wikidata.org/wiki/Q2572354","display_name":"Epidemic model","level":3,"score":0.6025725603103638},{"id":"https://openalex.org/C50318809","wikidata":"https://www.wikidata.org/wiki/Q2145081","display_name":"Replicator equation","level":3,"score":0.5962100028991699},{"id":"https://openalex.org/C172656115","wikidata":"https://www.wikidata.org/wiki/Q2142613","display_name":"Social distance","level":5,"score":0.5855687260627747},{"id":"https://openalex.org/C20249471","wikidata":"https://www.wikidata.org/wiki/Q2298789","display_name":"Evolutionary game theory","level":3,"score":0.5281372666358948},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.5000650882720947},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.471972793340683},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.46334701776504517},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.41497525572776794},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.40286898612976074},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.3328057527542114},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.30216360092163086},{"id":"https://openalex.org/C177142836","wikidata":"https://www.wikidata.org/wiki/Q44455","display_name":"Game theory","level":2,"score":0.29339104890823364},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.2431454360485077},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2323378622531891},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.13024252653121948},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.12489748001098633},{"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/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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/gcwkshps50303.2020.9367567","is_oa":true,"landing_page_url":"https://doi.org/10.1109/gcwkshps50303.2020.9367567","pdf_url":"https://ieeexplore.ieee.org/ielx7/9367371/9367388/09367567.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Globecom Workshops (GC Wkshps","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1109/gcwkshps50303.2020.9367567","is_oa":true,"landing_page_url":"https://doi.org/10.1109/gcwkshps50303.2020.9367567","pdf_url":"https://ieeexplore.ieee.org/ielx7/9367371/9367388/09367567.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Globecom Workshops (GC Wkshps","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.8600000143051147,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[{"id":"https://openalex.org/G1726467477","display_name":null,"funder_award_id":"NSF EARS-1839818","funder_id":"https://openalex.org/F4320333591","funder_display_name":"Multidisciplinary University Research Initiative"},{"id":"https://openalex.org/G1967788546","display_name":null,"funder_award_id":"CNS1717454","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G2053853133","display_name":null,"funder_award_id":"1839818","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G2273049818","display_name":null,"funder_award_id":"18RT0073","funder_id":"https://openalex.org/F4320333591","funder_display_name":"Multidisciplinary University Research Initiative"},{"id":"https://openalex.org/G2688733623","display_name":null,"funder_award_id":"CNS-1731424","funder_id":"https://openalex.org/F4320333591","funder_display_name":"Multidisciplinary University Research Initiative"},{"id":"https://openalex.org/G3113351901","display_name":null,"funder_award_id":"CNS-1731424","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G4633075835","display_name":null,"funder_award_id":"CNS1717454","funder_id":"https://openalex.org/F4320333591","funder_display_name":"Multidisciplinary University Research Initiative"},{"id":"https://openalex.org/G4940453275","display_name":null,"funder_award_id":"EARS-1839818","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5273079942","display_name":null,"funder_award_id":"CNS-1702850","funder_id":"https://openalex.org/F4320333591","funder_display_name":"Multidisciplinary University Research Initiative"},{"id":"https://openalex.org/G6881426639","display_name":"Collaborative Research: Energy-Efficient Heterogeneous Network Virtualization with Spectrum-Power Trading","funder_award_id":"1731424","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G721611289","display_name":null,"funder_award_id":"CNS-1702850","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7225537809","display_name":"WiFIUS: Collaborative Research: Ambient Re-Scatter Inspired Machine Type Communication for Heterogeneous IoT Systems","funder_award_id":"1702850","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G856794556","display_name":null,"funder_award_id":"NSF EARS-1839818","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320333591","display_name":"Multidisciplinary University Research Initiative","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3135797626.pdf","grobid_xml":"https://content.openalex.org/works/W3135797626.grobid-xml"},"referenced_works_count":20,"referenced_works":["https://openalex.org/W1505310183","https://openalex.org/W1619563571","https://openalex.org/W1621087922","https://openalex.org/W2028798910","https://openalex.org/W2102704407","https://openalex.org/W2144905124","https://openalex.org/W2148301044","https://openalex.org/W2171034360","https://openalex.org/W2783329751","https://openalex.org/W2884619174","https://openalex.org/W2995176888","https://openalex.org/W2999683237","https://openalex.org/W3000994290","https://openalex.org/W3010314997","https://openalex.org/W3010635092","https://openalex.org/W3013198216","https://openalex.org/W3015533665","https://openalex.org/W3015988827","https://openalex.org/W6682044371","https://openalex.org/W6771484090"],"related_works":["https://openalex.org/W3094221754","https://openalex.org/W1593767881","https://openalex.org/W2360754740","https://openalex.org/W2505734641","https://openalex.org/W4297938064","https://openalex.org/W1615974028","https://openalex.org/W2384572063","https://openalex.org/W2407048069","https://openalex.org/W1605297503","https://openalex.org/W2145979805"],"abstract_inverted_index":{"The":[0],"outbreak":[1],"of":[2,9,28,39,110,116,126,135],"the":[3,7,20,26,37,56,82,98,108,114,124,133,138],"coronavirus":[4],"pandemic":[5],"since":[6],"end":[8],"2019":[10],"has":[11],"been":[12],"declared":[13],"as":[14,130,132],"a":[15,63],"world":[16],"health":[17],"emergency":[18],"by":[19,81,112],"World":[21],"Health":[22],"organization,":[23],"which":[24],"raised":[25],"importance":[27],"an":[29],"accurate":[30],"mathematical":[31],"epidemiological":[32],"dynamic":[33],"model":[34,93],"to":[35,47,54,92],"predict":[36],"evolution":[38,115],"COVID-19.":[40],"Replicator":[41],"dynamics":[42,78],"(RDs)":[43],"are":[44],"exclusively":[45],"applied":[46],"many":[48],"epidemic":[49,94],"models,":[50],"but":[51],"they":[52],"fail":[53],"satisfy":[55],"Nash":[57],"stationarity":[58],"and":[59,86],"can":[60],"only":[61],"describe":[62],"unidirectional":[64],"population":[65],"flow":[66],"between":[67],"different":[68],"states.":[69],"In":[70,103],"this":[71],"paper,":[72],"we":[73,105,122],"proposed":[74],"mean":[75,87],"field":[76,88],"evolutionary":[77],"(MFEDs),":[79],"inspired":[80],"optimal":[83],"transport":[84],"theory":[85],"games":[89],"on":[90],"graphs,":[91],"dynamics.":[95],"We":[96],"compare":[97],"MFEDs":[99,111],"with":[100],"RDs":[101],"theoretically.":[102],"particular,":[104],"also":[106],"show":[107],"efficiency":[109],"modeling":[113],"COVID-19":[117,136],"in":[118],"Wuhan,":[119],"China.":[120],"Furthermore,":[121],"analyze":[123],"effect":[125],"one-time":[127],"social":[128],"distancing":[129],"well":[131],"seasonality":[134],"through":[137],"post-pandemic":[139],"period.":[140]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-22T08:00:12.763002","created_date":"2025-10-10T00:00:00"}
