{"id":"https://openalex.org/W4401201118","doi":"https://doi.org/10.48550/arxiv.2407.19054","title":"Flusion: Integrating multiple data sources for accurate influenza predictions","display_name":"Flusion: Integrating multiple data sources for accurate influenza predictions","publication_year":2024,"publication_date":"2024-07-26","ids":{"openalex":"https://openalex.org/W4401201118","doi":"https://doi.org/10.48550/arxiv.2407.19054"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2407.19054","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2407.19054","pdf_url":"https://arxiv.org/pdf/2407.19054","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2407.19054","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5065779040","display_name":"Evan L Ray","orcid":"https://orcid.org/0000-0003-4035-0243"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Ray, Evan L.","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039924624","display_name":"Yijin Wang","orcid":"https://orcid.org/0000-0003-4438-6366"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Yijin","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111713789","display_name":"Russell D. Wolfinger","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wolfinger, Russell D.","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5071543888","display_name":"Nicholas G Reich","orcid":"https://orcid.org/0000-0003-3503-9899"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Reich, Nicholas G.","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5065779040"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10167","display_name":"Influenza Virus Research Studies","score":0.9377999901771545,"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/T10167","display_name":"Influenza Virus Research Studies","score":0.9377999901771545,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4712546169757843},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3808255195617676},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33870571851730347}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4712546169757843},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3808255195617676},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33870571851730347}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2407.19054","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2407.19054","pdf_url":"https://arxiv.org/pdf/2407.19054","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"doi:10.48550/arxiv.2407.19054","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2407.19054","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2407.19054","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2407.19054","pdf_url":"https://arxiv.org/pdf/2407.19054","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4401201118.pdf"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W4395014643"],"abstract_inverted_index":{"Over":[0],"the":[1,5,22,41,45,59,77,100,106,127,134,182,189,204,208,214,222,239,261,277],"last":[2,78],"ten":[3],"years,":[4,80],"US":[6],"Centers":[7],"for":[8,48,93,105,199,213],"Disease":[9],"Control":[10],"and":[11,32,81,138,228,256,268],"Prevention":[12],"(CDC)":[13],"has":[14,136],"organized":[15],"an":[16,156],"annual":[17],"influenza":[18,43,70,143,210],"forecasting":[19,46],"challenge":[20,50,212],"with":[21,40,114,165],"motivation":[23],"that":[24,117,158,231,246],"accurate":[25],"probabilistic":[26],"forecasts":[27,98],"could":[28],"improve":[29],"situational":[30],"awareness":[31],"yield":[33],"more":[34],"effective":[35],"public":[36],"health":[37],"actions.":[38],"Starting":[39],"2021/22":[42],"season,":[44],"targets":[47],"this":[49,94,218],"have":[51,118],"been":[52],"based":[53],"on":[54,176,187,197,250],"hospital":[55,71],"admissions":[56,72],"reported":[57],"in":[58,99,207],"CDC's":[60,209],"National":[61],"Healthcare":[62],"Safety":[63],"Network":[64],"(NHSN)":[65],"surveillance":[66,108,254,269],"system.":[67],"Reporting":[68],"of":[69,88,102,129,141,149,241,263,279],"through":[73],"NHSN":[74],"began":[75],"within":[76],"few":[79],"as":[82],"such":[83],"only":[84,188],"a":[85,119,146,166,242],"limited":[86,103],"amount":[87],"historical":[89,121],"data":[90,104,113,179,198,251],"are":[91],"available":[92,280],"signal.":[95],"To":[96],"produce":[97],"presence":[101],"target":[107,190],"system,":[109],"we":[110,220,229],"augmented":[111],"these":[112],"two":[115],"signals":[116,255],"longer":[120],"record:":[122],"1)":[123],"ILI+,":[124],"which":[125],"estimates":[126],"proportion":[128],"outpatient":[130],"doctor":[131],"visits":[132],"where":[133],"patient":[135],"influenza;":[137],"2)":[139],"rates":[140],"laboratory-confirmed":[142],"hospitalizations":[144],"at":[145],"selected":[147],"set":[148],"healthcare":[150],"facilities.":[151],"Our":[152],"model,":[153],"Flusion,":[154],"is":[155],"ensemble":[157],"combines":[159],"gradient":[160,171,243],"boosting":[161,172,244],"quantile":[162],"regression":[163],"models":[164,173,193],"Bayesian":[167],"autoregressive":[168,183],"model.":[169],"The":[170],"were":[174,194],"trained":[175,186,195,248],"all":[177,192],"three":[178],"signals,":[180,270],"while":[181],"model":[184,206,245],"was":[185,203,235,247],"signal;":[191],"jointly":[196,249],"multiple":[200,253],"locations.":[201,257],"Flusion":[202],"top-performing":[205],"prediction":[211],"2023/24":[215],"season.":[216],"In":[217],"article":[219],"investigate":[221],"factors":[223],"contributing":[224],"to":[225,276],"Flusion's":[226],"success,":[227],"find":[230],"its":[232],"strong":[233],"performance":[234],"primarily":[236],"driven":[237],"by":[238],"use":[240],"from":[252],"These":[258],"results":[259],"indicate":[260],"value":[262],"sharing":[264],"information":[265],"across":[266],"locations":[267],"especially":[271],"when":[272],"doing":[273],"so":[274],"adds":[275],"pool":[278],"training":[281],"data.":[282]},"counts_by_year":[],"updated_date":"2026-03-11T14:59:36.786465","created_date":"2024-08-01T00:00:00"}