{"id":"https://openalex.org/W2965118797","doi":"https://doi.org/10.1609/aaai.v33i01.33019607","title":"DEFSI: Deep Learning Based Epidemic Forecasting with Synthetic Information","display_name":"DEFSI: Deep Learning Based Epidemic Forecasting with Synthetic Information","publication_year":2019,"publication_date":"2019-07-17","ids":{"openalex":"https://openalex.org/W2965118797","doi":"https://doi.org/10.1609/aaai.v33i01.33019607","mag":"2965118797"},"language":"en","primary_location":{"id":"doi:10.1609/aaai.v33i01.33019607","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33019607","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/5023/4896","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://ojs.aaai.org/index.php/AAAI/article/download/5023/4896","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100330304","display_name":"Lijing Wang","orcid":"https://orcid.org/0000-0002-0836-9190"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Lijing Wang","raw_affiliation_strings":["Virginia Polytechnic Institute and State University"],"affiliations":[{"raw_affiliation_string":"Virginia Polytechnic Institute and State University","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065844089","display_name":"Jiangzhuo Chen","orcid":"https://orcid.org/0000-0002-2729-3881"},"institutions":[{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"education","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiangzhuo Chen","raw_affiliation_strings":["University of Virginia"],"affiliations":[{"raw_affiliation_string":"University of Virginia","institution_ids":["https://openalex.org/I51556381"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020293284","display_name":"Madhav Marathe","orcid":"https://orcid.org/0000-0003-1653-0658"},"institutions":[{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"education","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Madhav Marathe","raw_affiliation_strings":["University of Virginia"],"affiliations":[{"raw_affiliation_string":"University of Virginia","institution_ids":["https://openalex.org/I51556381"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100330304"],"corresponding_institution_ids":["https://openalex.org/I859038795"],"apc_list":null,"apc_paid":null,"fwci":33.1017,"has_fulltext":true,"cited_by_count":77,"citation_normalized_percentile":{"value":1.0,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"33","issue":"01","first_page":"9607","last_page":"9612"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11819","display_name":"Data-Driven Disease Surveillance","score":0.9994999766349792,"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":0.9994999766349792,"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/T10167","display_name":"Influenza Virus Research Studies","score":0.9968000054359436,"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":0.9886000156402588,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/generalizability-theory","display_name":"Generalizability theory","score":0.7488925457000732},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6992443799972534},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6649286150932312},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5688307881355286},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5589454174041748},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5404205918312073},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5097467303276062},{"id":"https://openalex.org/keywords/preparedness","display_name":"Preparedness","score":0.5095582008361816},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3988140821456909},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.139736145734787}],"concepts":[{"id":"https://openalex.org/C27158222","wikidata":"https://www.wikidata.org/wiki/Q5532422","display_name":"Generalizability theory","level":2,"score":0.7488925457000732},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6992443799972534},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6649286150932312},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5688307881355286},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5589454174041748},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5404205918312073},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5097467303276062},{"id":"https://openalex.org/C2777042776","wikidata":"https://www.wikidata.org/wiki/Q4583103","display_name":"Preparedness","level":2,"score":0.5095582008361816},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3988140821456909},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.139736145734787},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1609/aaai.v33i01.33019607","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33019607","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/5023/4896","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1609/aaai.v33i01.33019607","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33019607","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/5023/4896","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.8299999833106995}],"awards":[{"id":"https://openalex.org/G2253905536","display_name":"BIGDATA: Collaborative Research: F: Efficient Distributed Computation of Large-Scale Graph Problems in Epidemiology and Contagion Dynamics","funder_award_id":"1633028","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G3416031122","display_name":null,"funder_award_id":"R01GM109718","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G3497591915","display_name":null,"funder_award_id":"(NIH)","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G3549164809","display_name":null,"funder_award_id":"IIS-1633028","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G3611247453","display_name":null,"funder_award_id":"R01GM","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G3706291859","display_name":null,"funder_award_id":"1R01GM109718","funder_id":"https://openalex.org/F4320332186","funder_display_name":"Defense Threat Reduction Agency"},{"id":"https://openalex.org/G380470572","display_name":null,"funder_award_id":"HDTRA1-17-D-0023","funder_id":"https://openalex.org/F4320332186","funder_display_name":"Defense Threat Reduction Agency"},{"id":"https://openalex.org/G4716253616","display_name":null,"funder_award_id":"1443054","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5845535585","display_name":null,"funder_award_id":"1R01GM109718","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G6541015203","display_name":null,"funder_award_id":"HDTRA1","funder_id":"https://openalex.org/F4320332186","funder_display_name":"Defense Threat Reduction Agency"},{"id":"https://openalex.org/G6654112443","display_name":null,"funder_award_id":"IIS-1633028","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G6664189982","display_name":null,"funder_award_id":"ACI-1443054","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G7254803568","display_name":null,"funder_award_id":"DIBBS Grant ACI-1443054","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G848032724","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320332186","display_name":"Defense Threat Reduction Agency","ror":"https://ror.org/04tz64554"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2965118797.pdf","grobid_xml":"https://content.openalex.org/works/W2965118797.grobid-xml"},"referenced_works_count":17,"referenced_works":["https://openalex.org/W1965792011","https://openalex.org/W2061370256","https://openalex.org/W2064675550","https://openalex.org/W2077333190","https://openalex.org/W2079884780","https://openalex.org/W2083448875","https://openalex.org/W2130094219","https://openalex.org/W2163007015","https://openalex.org/W2244985651","https://openalex.org/W2613571630","https://openalex.org/W2734256217","https://openalex.org/W2772780441","https://openalex.org/W2798329844","https://openalex.org/W2953101261","https://openalex.org/W2965118797","https://openalex.org/W6666761814","https://openalex.org/W6751049151"],"related_works":["https://openalex.org/W2118717649","https://openalex.org/W2413243053","https://openalex.org/W410723623","https://openalex.org/W2015341305","https://openalex.org/W2035068594","https://openalex.org/W4225593417","https://openalex.org/W2573498121","https://openalex.org/W3022298670","https://openalex.org/W3160494304","https://openalex.org/W3006162251"],"abstract_inverted_index":{"Influenza-like":[0],"illness":[1],"(ILI)":[2],"is":[3,18,82,97,103],"among":[4],"the":[5,52,101,124,131,137],"most":[6],"common":[7],"diseases":[8],"worldwide.":[9],"Producing":[10],"timely,":[11],"well-informed,":[12],"and":[13,22,35,58,75,108],"reliable":[14],"forecasts":[15],"for":[16,20,119],"ILI":[17,121],"crucial":[19],"preparedness":[21],"optimal":[23],"interventions.":[24],"In":[25,61],"this":[26],"work,":[27],"we":[28,63],"focus":[29],"on":[30,84],"short-term":[31,120],"but":[32],"highresolution":[33,86],"forecasting":[34,48,92,122,129],"propose":[36],"DEFSI":[37,134],"(Deep":[38],"Learning":[39],"Based":[40],"Epidemic":[41],"Forecasting":[42],"with":[43,105],"Synthetic":[44],"Information),":[45],"an":[46],"epidemic":[47],"framework":[49],"that":[50],"integrates":[51],"strengths":[53],"of":[54],"artificial":[55],"neural":[56,67],"networks":[57],"causal":[59],"methods.":[60,139],"DEFSI,":[62],"build":[64],"a":[65],"two-branch":[66],"network":[68],"structure":[69],"to":[70],"take":[71],"both":[72],"within-season":[73],"observations":[74,77],"between-season":[76],"as":[78],"features.":[79],"The":[80],"model":[81,102],"trained":[83],"geographically":[85],"synthetic":[87],"data.":[88],"It":[89],"enables":[90],"detailed":[91],"when":[93],"high-resolution":[94,128],"surveillance":[95],"data":[96],"not":[98],"available.":[99],"Furthermore,":[100],"provided":[104],"better":[106],"generalizability":[107],"physical":[109],"consistency.":[110],"Our":[111],"method":[112],"achieves":[113],"comparable/better":[114],"performance":[115],"than":[116],"state-of-the-art":[117],"methods":[118],"at":[123,130],"state":[125],"level.":[126],"For":[127],"county":[132],"level,":[133],"significantly":[135],"outperforms":[136],"other":[138]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":26},{"year":2020,"cited_by_count":20},{"year":2019,"cited_by_count":4}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}