{"id":"https://openalex.org/W4405179066","doi":"https://doi.org/10.1109/mmul.2024.3509972","title":"A Novel Hybrid Epidemic Prediction Model Based on Cross-Modal Information","display_name":"A Novel Hybrid Epidemic Prediction Model Based on Cross-Modal Information","publication_year":2024,"publication_date":"2024-12-09","ids":{"openalex":"https://openalex.org/W4405179066","doi":"https://doi.org/10.1109/mmul.2024.3509972"},"language":"en","primary_location":{"id":"doi:10.1109/mmul.2024.3509972","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmul.2024.3509972","pdf_url":null,"source":{"id":"https://openalex.org/S72873717","display_name":"IEEE Multimedia","issn_l":"1070-986X","issn":["1070-986X","1941-0166"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE MultiMedia","raw_type":"journal-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/A5026721130","display_name":"Zhiyi Tan","orcid":"https://orcid.org/0000-0002-1209-2817"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhiyi Tan","raw_affiliation_strings":["Nanjing University of Post and Telecommunication, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-1209-2817","affiliations":[{"raw_affiliation_string":"Nanjing University of Post and Telecommunication, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007962086","display_name":"Bing\u2010Kun Bao","orcid":"https://orcid.org/0000-0001-5956-831X"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bingkun Bao","raw_affiliation_strings":["Nanjing University of Post and Telecommunication, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0001-5956-831X","affiliations":[{"raw_affiliation_string":"Nanjing University of Post and Telecommunication, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5026721130"],"corresponding_institution_ids":["https://openalex.org/I41198531"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.33169691,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"32","issue":"1","first_page":"29","last_page":"42"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11819","display_name":"Data-Driven Disease Surveillance","score":0.9915000200271606,"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":0.9915000200271606,"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/T10410","display_name":"COVID-19 epidemiological studies","score":0.9896000027656555,"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":0.9729999899864197,"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/computer-science","display_name":"Computer science","score":0.8068239688873291},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.6926005482673645},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37124326825141907}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8068239688873291},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.6926005482673645},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37124326825141907},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mmul.2024.3509972","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmul.2024.3509972","pdf_url":null,"source":{"id":"https://openalex.org/S72873717","display_name":"IEEE Multimedia","issn_l":"1070-986X","issn":["1070-986X","1941-0166"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE MultiMedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.6299999952316284,"display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W2996936831","https://openalex.org/W3008928028","https://openalex.org/W3009876049","https://openalex.org/W3012497719","https://openalex.org/W3014995369","https://openalex.org/W3019351867","https://openalex.org/W3021303430","https://openalex.org/W3022122691","https://openalex.org/W3022787740","https://openalex.org/W3080678184","https://openalex.org/W3085456761","https://openalex.org/W3087059428","https://openalex.org/W3092262360","https://openalex.org/W3094737818","https://openalex.org/W3107362036","https://openalex.org/W3116362583","https://openalex.org/W3129826725","https://openalex.org/W3132732596","https://openalex.org/W4281296361","https://openalex.org/W4360982459","https://openalex.org/W6775580048"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"To":[0,66],"assess":[1],"the":[2,5,9,21,40,47,52,101,108,112,119,129,147,150],"threat":[3],"of":[4,11,20,25,42,46,54,87,103,111,149],"COVID-19":[6,80],"epidemic,":[7],"forecasting":[8],"number":[10],"new":[12,104],"cases":[13,105],"is":[14,58,93,121],"critical":[15],"for":[16,79],"epidemic":[17,75,110],"prevention.":[18],"Most":[19],"existing":[22],"studies":[23],"are":[24],"limited":[26],"performance":[27],"as":[28],"they":[29],"ignore":[30],"two":[31,88],"key":[32],"issues:":[33],"1)":[34],"there":[35],"exist":[36],"complex":[37],"correlations":[38],"between":[39],"epidemics":[41],"different":[43],"regions":[44],"because":[45],"population":[48],"shift":[49],"and":[50,63,115,136],"2)":[51],"effect":[53,124],"nonpharmaceutical":[55],"interventions":[56],"(NPIs)":[57],"sensitive":[59],"to":[60],"their":[61,134],"orientations":[62,135],"effective":[64,137],"durations.":[65,138],"this":[67],"end,":[68],"we":[69,145],"propose":[70],"a":[71,94],"novel":[72],"cross-modal":[73],"spatial\u2013temporal":[74,95],"prediction":[76,97],"(CMSTEP)":[77],"model":[78,85],"new-case":[81],"prediction.":[82],"The":[83],"proposed":[84,151],"consists":[86],"newly":[89],"designed":[90],"modules:":[91],"one":[92],"sequential":[96],"module":[98,126],"that":[99,127],"captures":[100],"trend":[102],"based":[106,132],"on":[107,133,142],"historical":[109],"target":[113],"region":[114],"its":[116],"related":[117],"regions,":[118],"other":[120],"an":[122],"intervention":[123],"assessment":[125],"models":[128],"NPIs\u2019":[130],"impact":[131],"Through":[139],"extensive":[140],"experiments":[141],"real-world":[143],"data,":[144],"prove":[146],"effectiveness":[148],"model.":[152]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
