{"id":"https://openalex.org/W2403186103","doi":"https://doi.org/10.1137/1.9781611974010.43","title":"SourceSeer: Forecasting Rare Disease Outbreaks Using Multiple Data Sources","display_name":"SourceSeer: Forecasting Rare Disease Outbreaks Using Multiple Data Sources","publication_year":2015,"publication_date":"2015-06-30","ids":{"openalex":"https://openalex.org/W2403186103","doi":"https://doi.org/10.1137/1.9781611974010.43","mag":"2403186103"},"language":"en","primary_location":{"id":"doi:10.1137/1.9781611974010.43","doi":"https://doi.org/10.1137/1.9781611974010.43","is_oa":true,"landing_page_url":"https://doi.org/10.1137/1.9781611974010.43","pdf_url":"https://epubs.siam.org/doi/pdf/10.1137/1.9781611974010.43","source":{"id":"https://openalex.org/S4306420871","display_name":"SIAM International Conference on Data Mining","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"Proceedings of the 2015 SIAM International Conference on Data Mining","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://epubs.siam.org/doi/pdf/10.1137/1.9781611974010.43","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5002060759","display_name":"Theodoros Rekatsinas","orcid":"https://orcid.org/0000-0001-6148-1854","observed_orcids":["https://orcid.org/0000-0001-6148-1854"]},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Theodoros Rekatsinas","raw_affiliation_strings":["Dept. of Computer Science, University of Maryland, College Park"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science, University of Maryland, College Park","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103858234","display_name":"Saurav Ghosh","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I1288882113","display_name":"Boston Children's Hospital","ror":"https://ror.org/00dvg7y05","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1288882113"]},{"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":false,"raw_author_name":"Saurav Ghosh","raw_affiliation_strings":["Dept. of Computer Science , Virginia Tech","Dept. of Computer Science, Virginia Tech \u2021 Children's Hospital Informatics Program, Boston Children's Hospital"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science , Virginia Tech","institution_ids":["https://openalex.org/I859038795"]},{"raw_affiliation_string":"Dept. of Computer Science, Virginia Tech \u2021 Children's Hospital Informatics Program, Boston Children's Hospital","institution_ids":["https://openalex.org/I1288882113","https://openalex.org/I859038795"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024529432","display_name":"Sumiko R. Mekaru","orcid":"https://orcid.org/0000-0002-9782-3833","observed_orcids":["https://orcid.org/0000-0002-9782-3833"]},"institutions":[{"id":"https://openalex.org/I1288882113","display_name":"Boston Children's Hospital","ror":"https://ror.org/00dvg7y05","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1288882113"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sumiko R. Mekaru","raw_affiliation_strings":["Children's Hospital Informatics Program , Boston Children's Hospital"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Children's Hospital Informatics Program , Boston Children's Hospital","institution_ids":["https://openalex.org/I1288882113"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057907135","display_name":"Elaine Okanyene Nsoesie","orcid":"https://orcid.org/0000-0001-9170-8714","observed_orcids":["https://orcid.org/0000-0001-9170-8714"]},"institutions":[{"id":"https://openalex.org/I1288882113","display_name":"Boston Children's Hospital","ror":"https://ror.org/00dvg7y05","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1288882113"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Elaine O. Nsoesie","raw_affiliation_strings":["Children's Hospital Informatics Program , Boston Children's Hospital"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Children's Hospital Informatics Program , Boston Children's Hospital","institution_ids":["https://openalex.org/I1288882113"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087882430","display_name":"John S. Brownstein","orcid":"https://orcid.org/0000-0001-8568-5317","observed_orcids":["https://orcid.org/0000-0001-8568-5317"]},"institutions":[{"id":"https://openalex.org/I1288882113","display_name":"Boston Children's Hospital","ror":"https://ror.org/00dvg7y05","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1288882113"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"John S. Brownstein","raw_affiliation_strings":["Children's Hospital Informatics Program , Boston Children's Hospital"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Children's Hospital Informatics Program , Boston Children's Hospital","institution_ids":["https://openalex.org/I1288882113"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086169451","display_name":"Lise C. Getoor","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I185103710","display_name":"University of California, Santa Cruz","ror":"https://ror.org/03s65by71","country_code":"US","type":"education","lineage":["https://openalex.org/I185103710"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lise Getoor","raw_affiliation_strings":["Dept. of Computer Science, University of California, Santa Cruz"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science, University of California, Santa Cruz","institution_ids":["https://openalex.org/I185103710"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035052603","display_name":"Naren Ramakrishnan","orcid":"https://orcid.org/0000-0002-1821-9743","observed_orcids":["https://orcid.org/0000-0002-1821-9743"]},"institutions":[{"id":"https://openalex.org/I1288882113","display_name":"Boston Children's Hospital","ror":"https://ror.org/00dvg7y05","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1288882113"]},{"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":false,"raw_author_name":"Naren Ramakrishnan","raw_affiliation_strings":["Dept. of Computer Science , Virginia Tech","Dept. of Computer Science, Virginia Tech \u2021 Children's Hospital Informatics Program, Boston Children's Hospital"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science , Virginia Tech","institution_ids":["https://openalex.org/I859038795"]},{"raw_affiliation_string":"Dept. of Computer Science, Virginia Tech \u2021 Children's Hospital Informatics Program, Boston Children's Hospital","institution_ids":["https://openalex.org/I1288882113","https://openalex.org/I859038795"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":58.6114,"has_fulltext":true,"cited_by_count":28,"citation_normalized_percentile":{"value":0.99858491,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":88,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"379","last_page":"387"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11819","display_name":"Data-Driven Disease Surveillance","score":0.9990000128746033,"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":0.9990000128746033,"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":0.00039999998989515007,"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/T10028","display_name":"Topic Modeling","score":0.0,"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/twitter","display_name":"Twitter","score":0.652999997138977},{"id":"https://openalex.org/keywords/blogs","display_name":"blogs","score":0.7850000262260437},{"id":"https://openalex.org/keywords/latin-america","display_name":"Latin America","score":0.7509999871253967},{"id":"https://openalex.org/keywords/healthmap","display_name":"HealthMap","score":0.7059999704360962}],"concepts":[{"id":"https://openalex.org/C116675565","wikidata":"https://www.wikidata.org/wiki/Q3241045","display_name":"Outbreak","level":2,"score":0.7253249883651733},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6571096181869507},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5114066004753113},{"id":"https://openalex.org/C2780665216","wikidata":"https://www.wikidata.org/wiki/Q6934498","display_name":"Multi-source","level":2,"score":0.4386158883571625},{"id":"https://openalex.org/C42747912","wikidata":"https://www.wikidata.org/wiki/Q1048447","display_name":"Multiplicative function","level":2,"score":0.43136149644851685},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.4245755672454834},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3703659474849701},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2218591570854187},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11155858635902405},{"id":"https://openalex.org/C159047783","wikidata":"https://www.wikidata.org/wiki/Q7215","display_name":"Virology","level":1,"score":0.09710848331451416},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1137/1.9781611974010.43","doi":"https://doi.org/10.1137/1.9781611974010.43","is_oa":true,"landing_page_url":"https://doi.org/10.1137/1.9781611974010.43","pdf_url":"https://epubs.siam.org/doi/pdf/10.1137/1.9781611974010.43","source":{"id":"https://openalex.org/S4306420871","display_name":"SIAM International Conference on Data Mining","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"Proceedings of the 2015 SIAM International Conference on Data Mining","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.673.1159","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.673.1159","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://people.cs.vt.edu/naren/papers/rekatsinasSDM2015.pdf","raw_type":"text"}],"best_oa_location":{"id":"doi:10.1137/1.9781611974010.43","doi":"https://doi.org/10.1137/1.9781611974010.43","is_oa":true,"landing_page_url":"https://doi.org/10.1137/1.9781611974010.43","pdf_url":"https://epubs.siam.org/doi/pdf/10.1137/1.9781611974010.43","source":{"id":"https://openalex.org/S4306420871","display_name":"SIAM International Conference on Data Mining","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"Proceedings of the 2015 SIAM International Conference on Data Mining","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.6093999743461609,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"study_designs":[],"awards":[{"id":"https://openalex.org/G2812462847","display_name":null,"funder_award_id":"D12PC000337","funder_id":"https://openalex.org/F4320333051","funder_display_name":"Intelligence Advanced Research Projects Activity"}],"funders":[{"id":"https://openalex.org/F4320333051","display_name":"Intelligence Advanced Research Projects Activity","ror":"https://ror.org/01v3fsc55"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2403186103.pdf","grobid_xml":"https://content.openalex.org/works/W2403186103.grobid-xml"},"referenced_works_count":32,"referenced_works":["https://openalex.org/W201361503","https://openalex.org/W1522930108","https://openalex.org/W1528377600","https://openalex.org/W1535668279","https://openalex.org/W1857789879","https://openalex.org/W1880262756","https://openalex.org/W1969486090","https://openalex.org/W1974534365","https://openalex.org/W1976323204","https://openalex.org/W2035503723","https://openalex.org/W2043371834","https://openalex.org/W2053913534","https://openalex.org/W2068372477","https://openalex.org/W2072644219","https://openalex.org/W2089454936","https://openalex.org/W2117239687","https://openalex.org/W2120467164","https://openalex.org/W2131904035","https://openalex.org/W2132870739","https://openalex.org/W2142047467","https://openalex.org/W2149035855","https://openalex.org/W2150398577","https://openalex.org/W2150865801","https://openalex.org/W2151373442","https://openalex.org/W2156242168","https://openalex.org/W2164912194","https://openalex.org/W2167717760","https://openalex.org/W2171343266","https://openalex.org/W2253771223","https://openalex.org/W2288972158","https://openalex.org/W4234819441","https://openalex.org/W4252684946"],"related_works":["https://openalex.org/W2600860262","https://openalex.org/W7096809921","https://openalex.org/W2598289997","https://openalex.org/W7203583788","https://openalex.org/W4206315883","https://openalex.org/W6903682740","https://openalex.org/W4286565516","https://openalex.org/W3132490181","https://openalex.org/W2955971535","https://openalex.org/W2771914442"],"abstract_inverted_index":{"Rapidly":[0],"increasing":[1],"volumes":[2],"of":[3,32,60,67,72,85,109,116,127,136,145,155],"news":[4],"feeds":[5],"from":[6],"diverse":[7],"data":[8,120],"sources,":[9],"such":[10],"as":[11,80],"online":[12,16],"newspapers,":[13],"Twitter":[14],"and":[15,29,58,152],"blogs":[17],"are":[18],"proving":[19],"to":[20,53,77,149],"be":[21,78],"extremely":[22],"valuable":[23],"resources":[24],"in":[25,124,159],"helping":[26],"anticipate,":[27],"detect,":[28],"forecast":[30,55],"outbreaks":[31,158,166],"rare":[33,62],"diseases.":[34,63],"This":[35],"paper":[36],"presents":[37],"SourceSeer,":[38],"a":[39,94,100,134,160],"novel":[40],"algorithmic":[41],"framework":[42],"that":[43,141],"combines":[44],"spatio-temporal":[45],"topic":[46],"models":[47],"with":[48,82],"sourcebased":[49],"anomaly":[50],"detection":[51],"techniques":[52],"effectively":[54],"the":[56,69,89,107,114],"emergence":[57],"progression":[59],"infectious":[61],"SourceSeer":[64,117,142],"is":[65,153],"capable":[66,154],"discovering":[68],"location":[70],"focus":[71],"each":[73,110],"source":[74,91],"allowing":[75],"sources":[76],"used":[79],"experts":[81],"varying":[83],"degrees":[84],"authoritativeness.":[86],"To":[87],"fuse":[88],"individual":[90],"predictions":[92,144],"into":[93,105],"final":[95],"outbreak":[96],"prediction":[97],"we":[98],"employ":[99],"multiplicative":[101],"weights":[102],"algorithm":[103],"taking":[104],"account":[106],"accuracy":[108,147],"source.":[111],"We":[112,139],"evaluate":[113],"performance":[115],"using":[118],"incidence":[119],"for":[121],"hantavirus":[122],"syndromes":[123],"multiple":[125],"countries":[126],"Latin":[128],"America":[129],"provided":[130],"by":[131],"HealthMap":[132],"over":[133],"timespan":[135],"fifteen":[137],"months.":[138],"demonstrate":[140],"makes":[143],"increased":[146],"compared":[148],"several":[150],"baselines":[151],"forecasting":[156],"disease":[157],"timely":[161],"manner":[162],"even":[163],"when":[164],"no":[165],"were":[167],"previously":[168],"reported.":[169]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":4}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2016-06-24T00:00:00"}
