{"id":"https://openalex.org/W3198398181","doi":"https://doi.org/10.1145/3462441","title":"SymptomID: A Framework for Rapid Symptom Identification in Pandemics Using News Reports","display_name":"SymptomID: A Framework for Rapid Symptom Identification in Pandemics Using News Reports","publication_year":2021,"publication_date":"2021-09-08","ids":{"openalex":"https://openalex.org/W3198398181","doi":"https://doi.org/10.1145/3462441","mag":"3198398181"},"language":"en","primary_location":{"id":"doi:10.1145/3462441","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3462441","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3462441","source":{"id":"https://openalex.org/S4210170305","display_name":"ACM Transactions on Management Information Systems","issn_l":"2158-656X","issn":["2158-656X","2158-6578"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Management Information Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3462441","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5054023418","display_name":"Kang Gu","orcid":"https://orcid.org/0000-0001-8541-6205"},"institutions":[{"id":"https://openalex.org/I107672454","display_name":"Dartmouth College","ror":"https://ror.org/049s0rh22","country_code":"US","type":"education","lineage":["https://openalex.org/I107672454"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kang Gu","raw_affiliation_strings":["Dartmouth College, Hanover, NH, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dartmouth College, Hanover, NH, USA","institution_ids":["https://openalex.org/I107672454"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035399743","display_name":"Soroush Vosoughi","orcid":"https://orcid.org/0000-0002-2564-8909"},"institutions":[{"id":"https://openalex.org/I107672454","display_name":"Dartmouth College","ror":"https://ror.org/049s0rh22","country_code":"US","type":"education","lineage":["https://openalex.org/I107672454"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Soroush Vosoughi","raw_affiliation_strings":["Dartmouth College, Hanover, NH, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dartmouth College, Hanover, NH, USA","institution_ids":["https://openalex.org/I107672454"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009504441","display_name":"Temiloluwa Prioleau","orcid":"https://orcid.org/0000-0001-6750-202X"},"institutions":[{"id":"https://openalex.org/I107672454","display_name":"Dartmouth College","ror":"https://ror.org/049s0rh22","country_code":"US","type":"education","lineage":["https://openalex.org/I107672454"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Temiloluwa Prioleau","raw_affiliation_strings":["Dartmouth College, Hanover, NH, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dartmouth College, Hanover, NH, USA","institution_ids":["https://openalex.org/I107672454"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I107672454"],"apc_list":null,"apc_paid":null,"fwci":1.8034,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.88506341,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"12","issue":"4","first_page":"1","last_page":"17"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11147","display_name":"Misinformation and Its Impacts","score":0.9945999979972839,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11147","display_name":"Misinformation and Its Impacts","score":0.9945999979972839,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9930999875068665,"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/T11819","display_name":"Data-Driven Disease Surveillance","score":0.9886999726295471,"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/pandemic","display_name":"Pandemic","score":0.7895306944847107},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.579439640045166},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5673205852508545},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.5178775787353516},{"id":"https://openalex.org/keywords/psychological-intervention","display_name":"Psychological intervention","score":0.5148164629936218},{"id":"https://openalex.org/keywords/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.5138426423072815},{"id":"https://openalex.org/keywords/infectious-disease","display_name":"Infectious disease (medical specialty)","score":0.49834704399108887},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4927225410938263},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.388602614402771},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.345445454120636},{"id":"https://openalex.org/keywords/psychiatry","display_name":"Psychiatry","score":0.1096748411655426},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.07938364148139954}],"concepts":[{"id":"https://openalex.org/C89623803","wikidata":"https://www.wikidata.org/wiki/Q12184","display_name":"Pandemic","level":5,"score":0.7895306944847107},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.579439640045166},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5673205852508545},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.5178775787353516},{"id":"https://openalex.org/C27415008","wikidata":"https://www.wikidata.org/wiki/Q7256382","display_name":"Psychological intervention","level":2,"score":0.5148164629936218},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.5138426423072815},{"id":"https://openalex.org/C524204448","wikidata":"https://www.wikidata.org/wiki/Q788926","display_name":"Infectious disease (medical specialty)","level":3,"score":0.49834704399108887},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4927225410938263},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.388602614402771},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.345445454120636},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.1096748411655426},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.07938364148139954},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3462441","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3462441","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3462441","source":{"id":"https://openalex.org/S4210170305","display_name":"ACM Transactions on Management Information Systems","issn_l":"2158-656X","issn":["2158-656X","2158-6578"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Management Information Systems","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1145/3462441","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3462441","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3462441","source":{"id":"https://openalex.org/S4210170305","display_name":"ACM Transactions on Management Information Systems","issn_l":"2158-656X","issn":["2158-656X","2158-6578"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Management Information Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.8600000143051147,"display_name":"Good health and well-being"}],"awards":[{"id":"https://openalex.org/G789671898","display_name":"RAPID: Learning from the Experiences of COVID-19 Survivors","funder_award_id":"2031546","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"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3198398181.pdf","grobid_xml":"https://content.openalex.org/works/W3198398181.grobid-xml"},"referenced_works_count":41,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1975879668","https://openalex.org/W1976323204","https://openalex.org/W1987971958","https://openalex.org/W2020278455","https://openalex.org/W2109734180","https://openalex.org/W2144578941","https://openalex.org/W2165086927","https://openalex.org/W2168041406","https://openalex.org/W2170021941","https://openalex.org/W2884436604","https://openalex.org/W2912817604","https://openalex.org/W2915429162","https://openalex.org/W2981397618","https://openalex.org/W2987972786","https://openalex.org/W3001118548","https://openalex.org/W3002108456","https://openalex.org/W3005650752","https://openalex.org/W3008698979","https://openalex.org/W3009739970","https://openalex.org/W3010233963","https://openalex.org/W3010773219","https://openalex.org/W3011345566","https://openalex.org/W3011594683","https://openalex.org/W3011894293","https://openalex.org/W3012741015","https://openalex.org/W3013019084","https://openalex.org/W3013522666","https://openalex.org/W3021137017","https://openalex.org/W3025263658","https://openalex.org/W3038261609","https://openalex.org/W3041493976","https://openalex.org/W3043240831","https://openalex.org/W3087639129","https://openalex.org/W3101739755","https://openalex.org/W3121694563","https://openalex.org/W3133191822","https://openalex.org/W3136091209","https://openalex.org/W4230239024","https://openalex.org/W4238371447","https://openalex.org/W4239019441"],"related_works":["https://openalex.org/W4382894326","https://openalex.org/W3035105474","https://openalex.org/W4205698903","https://openalex.org/W4294968941","https://openalex.org/W4205413867","https://openalex.org/W3179695362","https://openalex.org/W3175450294","https://openalex.org/W3135208316","https://openalex.org/W3136336094","https://openalex.org/W3119540162"],"abstract_inverted_index":{"The":[0],"ability":[1],"to":[2,123,135,224],"quickly":[3,225],"learn":[4,226],"fundamentals":[5],"about":[6,166],"a":[7,73,89,149,158,236],"new":[8,237],"infectious":[9,238],"disease,":[10],"such":[11],"as":[12],"how":[13],"it":[14,146],"is":[15,23,109],"transmitted,":[16],"the":[17,40,43,112,167,208],"incubation":[18],"period,":[19],"and":[20,62,65,131,195,197,218,234],"related":[21],"symptoms,":[22],"crucial":[24],"in":[25,72,221],"any":[26],"novel":[27,101,209],"pandemic.":[28,170],"For":[29],"instance,":[30],"rapid":[31,95],"identification":[32,96],"of":[33,42,97,161,184],"symptoms":[34,46,98,125,133,192,199],"can":[35,68,188,215],"enable":[36],"interventions":[37],"for":[38,94,121,232],"dampening":[39],"spread":[41],"disease.":[44,239],"Traditionally,":[45],"are":[47,59,230],"learned":[48],"from":[49,126],"research":[50],"publications":[51],"associated":[52,99,206],"with":[53,81,100,207],"clinical":[54,57],"studies.":[55],"However,":[56],"studies":[58],"often":[60],"slow":[61],"time":[63],"intensive,":[64],"hence":[66],"delays":[67],"have":[69,79],"dire":[70],"consequences":[71],"rapidly":[74],"spreading":[75],"pandemic":[76],"like":[77],"we":[78,86,156],"seen":[80],"COVID-19.":[82],"In":[83,153],"this":[84,154,213],"article,":[85],"introduce":[87],"SymptomID,":[88],"modular":[90],"artificial":[91],"intelligence\u2013based":[92],"framework":[93,140,214],"pandemics":[102,223],"using":[103,111,163],"publicly":[104,127],"available":[105,128],"news":[106,129,164],"reports.":[107],"SymptomID":[108,162,187],"built":[110],"state-of-the-art":[113],"natural":[114],"language":[115,151],"processing":[116],"model":[117],"(Bidirectional":[118],"Encoder":[119],"Representations":[120],"Transformers)":[122],"extract":[124],"reports":[130],"cluster-related":[132],"together":[134],"remove":[136],"redundancy.":[137],"Our":[138,171],"proposed":[139],"requires":[141],"minimal":[142],"training":[143],"data,":[144],"because":[145],"builds":[147],"on":[148,177],"pre-trained":[150],"model.":[152],"study,":[155],"present":[157],"case":[159],"study":[160],"articles":[165],"current":[168],"COVID-19":[169,172],"symptom":[173],"extraction":[174],"module,":[175],"trained":[176],"225":[178],"articles,":[179],"achieves":[180],"an":[181],"F1":[182],"score":[183],"over":[185],"0.8.":[186],"correctly":[189],"identify":[190],"well-established":[191],"(e.g.,":[193,200],"\u201cfever\u201d":[194],"\u201ccough\u201d)":[196],"less-prevalent":[198],"\u201crashes,\u201d":[201],"\u201chair":[202],"loss,\u201d":[203],"\u201cbrain":[204],"fog\u201d)":[205],"coronavirus.":[210],"We":[211],"believe":[212],"be":[216],"extended":[217],"easily":[219],"adapted":[220],"future":[222],"relevant":[227],"insights":[228],"that":[229],"fundamental":[231],"understanding":[233],"combating":[235]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}