{"id":"https://openalex.org/W4200120672","doi":"https://doi.org/10.1145/3500931.3501008","title":"Analysis and prediction of COVID-19 trends in the United States","display_name":"Analysis and prediction of COVID-19 trends in the United States","publication_year":2021,"publication_date":"2021-10-29","ids":{"openalex":"https://openalex.org/W4200120672","doi":"https://doi.org/10.1145/3500931.3501008"},"language":"en","primary_location":{"id":"doi:10.1145/3500931.3501008","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3500931.3501008","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd International Symposium on Artificial Intelligence for Medicine Sciences","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/A5101145748","display_name":"Guo Zhengyang","orcid":null},"institutions":[{"id":"https://openalex.org/I13591777","display_name":"University of Nottingham Ningbo China","ror":"https://ror.org/03y4dt428","country_code":"CN","type":"education","lineage":["https://openalex.org/I13591777","https://openalex.org/I142263535"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhengyang Guo","raw_affiliation_strings":["School of Mathematical Science, University of Nottingham, Ningbo, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematical Science, University of Nottingham, Ningbo, China","institution_ids":["https://openalex.org/I13591777"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111053101","display_name":"Wenqi Yang","orcid":"https://orcid.org/0000-0002-0302-3967"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Wenqi Yang","raw_affiliation_strings":["University of Sydney, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"University of Sydney, NSW, Australia","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008026663","display_name":"Tingying Yan","orcid":null},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]},{"id":"https://openalex.org/I134446601","display_name":"Berkeley College","ror":"https://ror.org/02xewxa75","country_code":"US","type":"education","lineage":["https://openalex.org/I134446601"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tingying Yan","raw_affiliation_strings":["College of Letters & Science, University of California Berkeley, Berkeley, USA"],"affiliations":[{"raw_affiliation_string":"College of Letters & Science, University of California Berkeley, Berkeley, USA","institution_ids":["https://openalex.org/I134446601","https://openalex.org/I95457486"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101278719","display_name":"Yiheng Lin","orcid":"https://orcid.org/0000-0002-6871-0557"},"institutions":[{"id":"https://openalex.org/I111088046","display_name":"Boston University","ror":"https://ror.org/05qwgg493","country_code":"US","type":"education","lineage":["https://openalex.org/I111088046"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yiheng Lin","raw_affiliation_strings":["College of Arts & Sciences, Boston University, Boston, USA"],"affiliations":[{"raw_affiliation_string":"College of Arts & Sciences, Boston University, Boston, USA","institution_ids":["https://openalex.org/I111088046"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055086755","display_name":"Jiawei Wang","orcid":"https://orcid.org/0000-0002-1891-0657"},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jiawei Wang","raw_affiliation_strings":["New College, University of Toronto, Toronto, Canada"],"affiliations":[{"raw_affiliation_string":"New College, University of Toronto, Toronto, Canada","institution_ids":["https://openalex.org/I185261750"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101145748"],"corresponding_institution_ids":["https://openalex.org/I13591777"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13937155,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"454","last_page":"459"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10410","display_name":"COVID-19 epidemiological studies","score":0.9753000140190125,"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":0.9753000140190125,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9304999709129333,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.7494990825653076},{"id":"https://openalex.org/keywords/credibility","display_name":"Credibility","score":0.5242516994476318},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4810188412666321},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.4771411120891571},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.4483531415462494},{"id":"https://openalex.org/keywords/mortality-rate","display_name":"Mortality rate","score":0.4258330464363098},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.37855780124664307},{"id":"https://openalex.org/keywords/demography","display_name":"Demography","score":0.3109767436981201},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.21094974875450134},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.1411738395690918},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.11923995614051819},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10997596383094788},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08229449391365051},{"id":"https://openalex.org/keywords/law","display_name":"Law","score":0.07220518589019775},{"id":"https://openalex.org/keywords/infectious-disease","display_name":"Infectious disease (medical specialty)","score":0.07107603549957275}],"concepts":[{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.7494990825653076},{"id":"https://openalex.org/C2780224610","wikidata":"https://www.wikidata.org/wiki/Q1530061","display_name":"Credibility","level":2,"score":0.5242516994476318},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4810188412666321},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4771411120891571},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.4483531415462494},{"id":"https://openalex.org/C179755657","wikidata":"https://www.wikidata.org/wiki/Q58702","display_name":"Mortality rate","level":2,"score":0.4258330464363098},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.37855780124664307},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.3109767436981201},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.21094974875450134},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.1411738395690918},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.11923995614051819},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10997596383094788},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08229449391365051},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.07220518589019775},{"id":"https://openalex.org/C524204448","wikidata":"https://www.wikidata.org/wiki/Q788926","display_name":"Infectious disease (medical specialty)","level":3,"score":0.07107603549957275},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3500931.3501008","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3500931.3501008","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd International Symposium on Artificial Intelligence for Medicine Sciences","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":2,"referenced_works":["https://openalex.org/W2582743722","https://openalex.org/W6733261796"],"related_works":["https://openalex.org/W4399930660","https://openalex.org/W3081105172","https://openalex.org/W4221047594","https://openalex.org/W2001769621","https://openalex.org/W3205573143","https://openalex.org/W765361767","https://openalex.org/W4313653400","https://openalex.org/W1965059084","https://openalex.org/W3011048101","https://openalex.org/W55936223"],"abstract_inverted_index":{"This":[0],"paper":[1,21],"is":[2,56,134],"mainly":[3,22],"to":[4,123],"analyze":[5],"and":[6,33,36,63],"predict":[7,76],"some":[8],"situations":[9],"of":[10,19,30,81,96,128],"COVID-19":[11,31,43],"in":[12,48,84],"the":[13,24,27,40,49,77,82,85,90,97,102,107,118,131,135],"United":[14,50,86,136],"States.":[15,51],"The":[16,93],"first":[17],"part":[18],"this":[20,116],"analyzes":[23],"relationship":[25],"between":[26,60],"mortality":[28],"rate":[29],"disease":[32],"population":[34,61],"structure":[35],"density":[37,62],"by":[38,101],"analyzing":[39],"publicly":[41],"reported":[42],"data":[44,99],"from":[45],"various":[46],"counties":[47],"We":[52],"found":[53],"that":[54],"there":[55],"a":[57,68,112,125,143],"negative":[58],"correlation":[59],"death":[64],"rate.":[65],"Secondly,":[66],"through":[67],"software":[69],"called":[70],"Shiny":[71],"we":[72],"introduced,":[73],"it":[74,138],"can":[75,120,139],"future":[78],"development":[79,94],"trend":[80,95],"epidemic":[83],"States":[87],"based":[88],"on":[89],"existing":[91],"data.":[92],"past":[98],"presented":[100],"shiny":[103],"application":[104],"matches":[105],"with":[106],"actual":[108],"trend,":[109],"which":[110],"has":[111],"certain":[113],"credibility.":[114],"In":[115],"work,":[117],"result":[119],"help":[121],"us":[122],"have":[124],"better":[126],"understanding":[127],"COVID-19.":[129],"Although":[130],"analysis":[132],"object":[133],"States,":[137],"be":[140],"used":[141],"as":[142],"reference":[144],"for":[145],"many":[146],"countries.":[147]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}