{"id":"https://openalex.org/W4206802041","doi":"https://doi.org/10.1109/bibm52615.2021.9669328","title":"Multi-modal Information Fusion-powered Regional Covid-19 Epidemic Forecasting","display_name":"Multi-modal Information Fusion-powered Regional Covid-19 Epidemic Forecasting","publication_year":2021,"publication_date":"2021-12-09","ids":{"openalex":"https://openalex.org/W4206802041","doi":"https://doi.org/10.1109/bibm52615.2021.9669328"},"language":"en","primary_location":{"id":"doi:10.1109/bibm52615.2021.9669328","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm52615.2021.9669328","pdf_url":null,"source":{"id":"https://openalex.org/S4363607735","display_name":"2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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 Bioinformatics and Biomedicine (BIBM)","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/A5053995376","display_name":"Honglu Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Honglu Zhang","raw_affiliation_strings":["School of Software, Shandong University, China"],"affiliations":[{"raw_affiliation_string":"School of Software, Shandong University, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017102724","display_name":"Yonghui Xu","orcid":"https://orcid.org/0000-0002-1891-6186"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yonghui Xu","raw_affiliation_strings":["Joint SDU-NTU Centre for Artificial Intelligence Research (C-FAIR), Shandong University, China"],"affiliations":[{"raw_affiliation_string":"Joint SDU-NTU Centre for Artificial Intelligence Research (C-FAIR), Shandong University, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100349557","display_name":"Lei Liu","orcid":"https://orcid.org/0000-0002-4646-2054"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Liu","raw_affiliation_strings":["Joint SDU-NTU Centre for Artificial Intelligence Research (C-FAIR), Shandong University, China","School of Software, Shandong University, China"],"affiliations":[{"raw_affiliation_string":"Joint SDU-NTU Centre for Artificial Intelligence Research (C-FAIR), Shandong University, China","institution_ids":["https://openalex.org/I154099455"]},{"raw_affiliation_string":"School of Software, Shandong University, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050004899","display_name":"Xudong L\u00fc","orcid":"https://orcid.org/0000-0001-7658-5250"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xudong Lu","raw_affiliation_strings":["School of Software, Shandong University, China"],"affiliations":[{"raw_affiliation_string":"School of Software, Shandong University, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049604544","display_name":"Xijie Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xijie Lin","raw_affiliation_strings":["School of Software, Shandong University, China"],"affiliations":[{"raw_affiliation_string":"School of Software, Shandong University, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100735885","display_name":"Zhongmin Yan","orcid":"https://orcid.org/0000-0002-5271-5417"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongmin Yan","raw_affiliation_strings":["School of Software, Shandong University, China"],"affiliations":[{"raw_affiliation_string":"School of Software, Shandong University, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101414718","display_name":"Lizhen Cui","orcid":"https://orcid.org/0000-0002-8262-8883"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lizhen Cui","raw_affiliation_strings":["Joint SDU-NTU Centre for Artificial Intelligence Research (C-FAIR), Shandong University, China","School of Software, Shandong University, China"],"affiliations":[{"raw_affiliation_string":"Joint SDU-NTU Centre for Artificial Intelligence Research (C-FAIR), Shandong University, China","institution_ids":["https://openalex.org/I154099455"]},{"raw_affiliation_string":"School of Software, Shandong University, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100382077","display_name":"Chunyan Miao","orcid":"https://orcid.org/0000-0002-0300-3448"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chunyan Miao","raw_affiliation_strings":["Joint NTU-UBC Research Centre of Excellence in Active Living for the Elderly, Nanyang Techonlogical University, Singapore"],"affiliations":[{"raw_affiliation_string":"Joint NTU-UBC Research Centre of Excellence in Active Living for the Elderly, Nanyang Techonlogical University, Singapore","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5053995376"],"corresponding_institution_ids":["https://openalex.org/I154099455"],"apc_list":null,"apc_paid":null,"fwci":4.302,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.95681063,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"779","last_page":"784"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11819","display_name":"Data-Driven Disease Surveillance","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"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/T11819","display_name":"Data-Driven Disease Surveillance","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9980000257492065,"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"}},{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5863986611366272},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.5631173253059387},{"id":"https://openalex.org/keywords/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.4961625039577484},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.4505782425403595},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.43513697385787964},{"id":"https://openalex.org/keywords/geographic-information-system","display_name":"Geographic information system","score":0.43191224336624146},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.42582952976226807},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.41246891021728516},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3520299196243286},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.2467074990272522},{"id":"https://openalex.org/keywords/infectious-disease","display_name":"Infectious disease (medical specialty)","score":0.177420973777771},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09138604998588562}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5863986611366272},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.5631173253059387},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.4961625039577484},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.4505782425403595},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.43513697385787964},{"id":"https://openalex.org/C41856607","wikidata":"https://www.wikidata.org/wiki/Q483130","display_name":"Geographic information system","level":2,"score":0.43191224336624146},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.42582952976226807},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.41246891021728516},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3520299196243286},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.2467074990272522},{"id":"https://openalex.org/C524204448","wikidata":"https://www.wikidata.org/wiki/Q788926","display_name":"Infectious disease (medical specialty)","level":3,"score":0.177420973777771},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09138604998588562},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm52615.2021.9669328","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm52615.2021.9669328","pdf_url":null,"source":{"id":"https://openalex.org/S4363607735","display_name":"2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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 Bioinformatics and Biomedicine (BIBM)","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":0.8700000047683716}],"awards":[],"funders":[{"id":"https://openalex.org/F4320311026","display_name":"Shandong University","ror":"https://ror.org/0207yh398"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W2887089210","https://openalex.org/W2963608065","https://openalex.org/W2964015378","https://openalex.org/W3046123837","https://openalex.org/W3049310425","https://openalex.org/W3093695087","https://openalex.org/W3103720336","https://openalex.org/W3125676075","https://openalex.org/W3165548017","https://openalex.org/W3168678646","https://openalex.org/W3170336408","https://openalex.org/W3175110359","https://openalex.org/W3184904621","https://openalex.org/W3206020652","https://openalex.org/W3207267733","https://openalex.org/W4385245566","https://openalex.org/W6726873649","https://openalex.org/W6739901393","https://openalex.org/W6785732883","https://openalex.org/W6785773631"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W4321353415","https://openalex.org/W2745001401","https://openalex.org/W2130974462","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W4246352526","https://openalex.org/W2121910908","https://openalex.org/W915438175","https://openalex.org/W4230315250"],"abstract_inverted_index":{"With":[0],"the":[1,6,11,37,53,56,59,65,68,76,83,87,89,93,103,118,121,124,135,163,169,180,184],"current":[2,104],"raging":[3],"spread":[4,38,54,66,119,137,171],"of":[5,10,16,39,55,67,78,86,95,102,120,168],"COVID19,":[7],"early":[8],"forecasting":[9,151],"future":[12],"epidemic":[13,109],"trend":[14],"is":[15,25],"great":[17],"significance":[18],"to":[19,116,161,188],"public":[20],"health":[21],"security.":[22],"The":[23],"COVID-19":[24,149,170],"virulent":[26],"and":[27,41,92,126,131,157,165],"spreads":[28],"widely.":[29],"An":[30],"outbreak":[31,69],"in":[32,52,75,128,172],"one":[33],"region":[34],"often":[35],"triggers":[36],"others,":[40],"regions":[42],"with":[43],"relatively":[44],"close":[45],"association":[46],"would":[47],"show":[48,178],"a":[49,145],"strong":[50],"correlation":[51,125],"epidemic.":[57],"In":[58,140],"real":[60],"world,":[61],"many":[62],"factors":[63,73],"affect":[64],"between":[70,98,138],"regions.":[71,99,139,174],"These":[72],"exist":[74],"form":[77],"multimodal":[79],"data,":[80],"such":[81],"as":[82],"time-series":[84],"data":[85,110,115,130],"epidemic,":[88,122],"geographic":[90,113],"relationship,":[91],"strength":[94],"social":[96],"contacts":[97],"However,":[100],"most":[101],"work":[105],"only":[106],"uses":[107],"historical":[108],"or":[111],"single-modal":[112],"location":[114],"forecast":[117],"ignoring":[123],"complementarity":[127],"multi-modal":[129,159],"its":[132],"impact":[133],"on":[134,191],"disease":[136],"this":[141],"paper,":[142],"we":[143],"propose":[144],"Multimodal":[146],"InformatioN":[147],"fusion":[148],"Epidemic":[150],"model":[152],"(MINE).":[153],"It":[154],"fuses":[155],"inter-regional":[156],"intra-regional":[158],"information":[160],"capture":[162],"temporal":[164],"spatial":[166],"relevance":[167],"different":[173],"Extensive":[175],"experimental":[176],"results":[177,186],"that":[179],"proposed":[181],"method":[182],"achieves":[183],"best":[185],"compared":[187],"state-of-art":[189],"methods":[190],"benchmark":[192],"datasets.":[193]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-14T23:14:49.485078","created_date":"2025-10-10T00:00:00"}