{"id":"https://openalex.org/W4206200544","doi":"https://doi.org/10.1109/bigdata52589.2021.9671797","title":"Extracting geographical characteristics about COVID-19 evolution worldwide using machine learning","display_name":"Extracting geographical characteristics about COVID-19 evolution worldwide using machine learning","publication_year":2021,"publication_date":"2021-12-15","ids":{"openalex":"https://openalex.org/W4206200544","doi":"https://doi.org/10.1109/bigdata52589.2021.9671797"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata52589.2021.9671797","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata52589.2021.9671797","pdf_url":null,"source":{"id":"https://openalex.org/S4363607718","display_name":"2021 IEEE International Conference on Big Data (Big Data)","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":"2021 IEEE International Conference on Big Data (Big Data)","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/A5038293456","display_name":"Admitos-Rafael Passadakis","orcid":null},"institutions":[{"id":"https://openalex.org/I174458059","display_name":"National Technical University of Athens","ror":"https://ror.org/03cx6bg69","country_code":"GR","type":"education","lineage":["https://openalex.org/I174458059"]}],"countries":["GR"],"is_corresponding":true,"raw_author_name":"Admitos-Rafael Passadakis","raw_affiliation_strings":["School of Electrical and Computer Engineering, National Technical University of Athens, Athens, Greece"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, National Technical University of Athens, Athens, Greece","institution_ids":["https://openalex.org/I174458059"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077388329","display_name":"Anastasios Vlachos","orcid":null},"institutions":[{"id":"https://openalex.org/I174458059","display_name":"National Technical University of Athens","ror":"https://ror.org/03cx6bg69","country_code":"GR","type":"education","lineage":["https://openalex.org/I174458059"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Anastasios Vlachos","raw_affiliation_strings":["School of Electrical and Computer Engineering, National Technical University of Athens, Athens, Greece"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, National Technical University of Athens, Athens, Greece","institution_ids":["https://openalex.org/I174458059"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072019747","display_name":"Paraskevi Tzouveli","orcid":"https://orcid.org/0000-0002-2061-9607"},"institutions":[{"id":"https://openalex.org/I174458059","display_name":"National Technical University of Athens","ror":"https://ror.org/03cx6bg69","country_code":"GR","type":"education","lineage":["https://openalex.org/I174458059"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Paraskevi Tzouveli","raw_affiliation_strings":["School of Electrical and Computer Engineering, National Technical University of Athens, Athens, Greece"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, National Technical University of Athens, Athens, Greece","institution_ids":["https://openalex.org/I174458059"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001457450","display_name":"Stefanos Kollias","orcid":"https://orcid.org/0000-0003-2899-0598"},"institutions":[{"id":"https://openalex.org/I174458059","display_name":"National Technical University of Athens","ror":"https://ror.org/03cx6bg69","country_code":"GR","type":"education","lineage":["https://openalex.org/I174458059"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Stefanos Kollias","raw_affiliation_strings":["School of Electrical and Computer Engineering, National Technical University of Athens, Athens, Greece"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, National Technical University of Athens, Athens, Greece","institution_ids":["https://openalex.org/I174458059"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5038293456"],"corresponding_institution_ids":["https://openalex.org/I174458059"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19604863,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"5978","last_page":"5981"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9943000078201294,"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"}},"topics":[{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9943000078201294,"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"}},{"id":"https://openalex.org/T10410","display_name":"COVID-19 epidemiological studies","score":0.9909999966621399,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9865000247955322,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/pandemic","display_name":"Pandemic","score":0.6708751320838928},{"id":"https://openalex.org/keywords/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.6591067314147949},{"id":"https://openalex.org/keywords/stress","display_name":"Stress (linguistics)","score":0.6284844279289246},{"id":"https://openalex.org/keywords/socioeconomic-status","display_name":"Socioeconomic status","score":0.5658266544342041},{"id":"https://openalex.org/keywords/latin-americans","display_name":"Latin Americans","score":0.551816463470459},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5341156125068665},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.5240440964698792},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.46316397190093994},{"id":"https://openalex.org/keywords/severe-acute-respiratory-syndrome-coronavirus-2","display_name":"Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)","score":0.44811540842056274},{"id":"https://openalex.org/keywords/2019-20-coronavirus-outbreak","display_name":"2019-20 coronavirus outbreak","score":0.42042413353919983},{"id":"https://openalex.org/keywords/demography","display_name":"Demography","score":0.3758348822593689},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.36243730783462524},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.279757022857666},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.2488853931427002},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.14638954401016235},{"id":"https://openalex.org/keywords/sociology","display_name":"Sociology","score":0.11108684539794922},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.08188116550445557}],"concepts":[{"id":"https://openalex.org/C89623803","wikidata":"https://www.wikidata.org/wiki/Q12184","display_name":"Pandemic","level":5,"score":0.6708751320838928},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.6591067314147949},{"id":"https://openalex.org/C2776756274","wikidata":"https://www.wikidata.org/wiki/Q181767","display_name":"Stress (linguistics)","level":2,"score":0.6284844279289246},{"id":"https://openalex.org/C147077947","wikidata":"https://www.wikidata.org/wiki/Q1515895","display_name":"Socioeconomic status","level":3,"score":0.5658266544342041},{"id":"https://openalex.org/C158886217","wikidata":"https://www.wikidata.org/wiki/Q16799549","display_name":"Latin Americans","level":2,"score":0.551816463470459},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5341156125068665},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.5240440964698792},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.46316397190093994},{"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":0.44811540842056274},{"id":"https://openalex.org/C3006700255","wikidata":"https://www.wikidata.org/wiki/Q81068910","display_name":"2019-20 coronavirus outbreak","level":3,"score":0.42042413353919983},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.3758348822593689},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.36243730783462524},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.279757022857666},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.2488853931427002},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.14638954401016235},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.11108684539794922},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.08188116550445557},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C116675565","wikidata":"https://www.wikidata.org/wiki/Q3241045","display_name":"Outbreak","level":2,"score":0.0},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"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/C159047783","wikidata":"https://www.wikidata.org/wiki/Q7215","display_name":"Virology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata52589.2021.9671797","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata52589.2021.9671797","pdf_url":null,"source":{"id":"https://openalex.org/S4363607718","display_name":"2021 IEEE International Conference on Big Data (Big Data)","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":"2021 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.8399999737739563}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1924770834","https://openalex.org/W2064675550","https://openalex.org/W2133564696","https://openalex.org/W2157331557","https://openalex.org/W2792764867","https://openalex.org/W2890096158","https://openalex.org/W3000499162","https://openalex.org/W3002709689","https://openalex.org/W3019433526","https://openalex.org/W3036309913","https://openalex.org/W3049737176","https://openalex.org/W3061808290","https://openalex.org/W4249224151","https://openalex.org/W6640212811","https://openalex.org/W6679434410","https://openalex.org/W6749825310","https://openalex.org/W6773071120"],"related_works":["https://openalex.org/W4367680763","https://openalex.org/W2739335048","https://openalex.org/W2507013036","https://openalex.org/W1506224037","https://openalex.org/W4213177143","https://openalex.org/W2151922127","https://openalex.org/W2254250433","https://openalex.org/W3022347140","https://openalex.org/W4237818736","https://openalex.org/W4252005663"],"abstract_inverted_index":{"Since":[0],"the":[1,5,12,16,24,48,53,56,108,127,139,149,159,162],"beginning":[2],"of":[3,55,64,78,113,126,161],"2020,":[4],"whole":[6],"world":[7,25],"has":[8,26],"been":[9],"plagued":[10],"by":[11],"coronavirus":[13],"pandemic.":[14],"During":[15],"last":[17],"sixteen":[18],"months,":[19],"almost":[20],"every":[21],"country":[22],"in":[23,41,60,71],"faced":[27],"several":[28],"epidemic":[29],"waves.":[30],"An":[31],"intriguing":[32],"question":[33],"that":[34,69,106,131,151],"arises":[35],"is":[36,146],"whether":[37],"neighboring":[38,116,153],"countries,":[39,117],"similar":[40,79,152],"regard":[42],"to":[43,51],"their":[44,61,91],"socioeconomic":[45],"status":[46],"and":[47,66,82,85,88,104,111,122],"restrictions":[49],"employed":[50],"counter":[52],"spread":[54],"virus,":[57],"showcase":[58],"similarities":[59],"respective":[62,109],"number":[63],"cases":[65,110],"deaths.":[67],"To":[68],"end,":[70],"this":[72],"paper":[73],"we":[74,89],"form":[75],"three":[76],"clusters":[77],"countries":[80,134,154],"(European":[81],"USA,":[83],"African-Asian":[84],"Latin":[86],"American)":[87],"use":[90],"cumulative":[92],"data":[93,96],"as":[94,142],"training":[95],"for":[97],"machine":[98],"learning":[99],"models":[100],"(RNN":[101],"family,":[102],"TCN":[103],"Attention)":[105],"predict":[107],"deaths":[112],"4":[114,133],"fixed":[115],"namely":[118],"Cyprus,":[119],"Greece,":[120],"Italy":[121],"Spain.":[123],"The":[124],"results":[125],"experiments":[128],"conducted":[129],"show":[130],"these":[132],"accent":[135],"bigger":[136],"similarity":[137],"with":[138],"European":[140],"cluster,":[141],"expected.":[143],"Thus,":[144],"evidence":[145],"provided":[147],"bolstering":[148],"claim":[150],"exhibit":[155],"alike":[156],"behavior":[157],"regarding":[158],"repercussions":[160],"COVID-19.":[163]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
