{"id":"https://openalex.org/W4205303832","doi":"https://doi.org/10.1109/bigdata52589.2021.9671429","title":"UPHO: Leveraging an Explainable Multimodal Big Data Analytics Framework for COVID-19 Surveillance and Research","display_name":"UPHO: Leveraging an Explainable Multimodal Big Data Analytics Framework for COVID-19 Surveillance and Research","publication_year":2021,"publication_date":"2021-12-15","ids":{"openalex":"https://openalex.org/W4205303832","doi":"https://doi.org/10.1109/bigdata52589.2021.9671429"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata52589.2021.9671429","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata52589.2021.9671429","pdf_url":null,"source":{"id":"https://openalex.org/S4363607718","display_name":"2021 IEEE International Conference on Big Data (Big Data)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"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":"2021 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-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/A5047144232","display_name":"Whitney S Brakefield","orcid":"https://orcid.org/0000-0002-0054-8944"},"institutions":[{"id":"https://openalex.org/I75027704","display_name":"University of Tennessee at Knoxville","ror":"https://ror.org/020f3ap87","country_code":"US","type":"education","lineage":["https://openalex.org/I75027704"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Whitney S Brakefield","raw_affiliation_strings":["The Bredesen Center for Interdisciplinary Research and Graduate Education, University of Tennessee, Knoxville, TN, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Bredesen Center for Interdisciplinary Research and Graduate Education, University of Tennessee, Knoxville, TN, USA","institution_ids":["https://openalex.org/I75027704"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088665215","display_name":"Nariman Ammar","orcid":"https://orcid.org/0000-0002-5363-2541"},"institutions":[{"id":"https://openalex.org/I1289243028","display_name":"Oak Ridge National Laboratory","ror":"https://ror.org/01qz5mb56","country_code":"US","type":"facility","lineage":["https://openalex.org/I1289243028","https://openalex.org/I1330989302","https://openalex.org/I39565521","https://openalex.org/I4210159294"]},{"id":"https://openalex.org/I160606119","display_name":"University of Tennessee Health Science Center","ror":"https://ror.org/0011qv509","country_code":"US","type":"education","lineage":["https://openalex.org/I160606119"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nariman Ammar","raw_affiliation_strings":["Department of Pediatrics, College of Medicine, Uthsc-Ornl Center for Biomedical Informatics, University of Tennessee Health Science Center, Memphis, TN, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Pediatrics, College of Medicine, Uthsc-Ornl Center for Biomedical Informatics, University of Tennessee Health Science Center, Memphis, TN, USA","institution_ids":["https://openalex.org/I160606119","https://openalex.org/I1289243028"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057391353","display_name":"Arash Shaban\u2010Nejad","orcid":"https://orcid.org/0000-0003-2047-4759"},"institutions":[{"id":"https://openalex.org/I1289243028","display_name":"Oak Ridge National Laboratory","ror":"https://ror.org/01qz5mb56","country_code":"US","type":"facility","lineage":["https://openalex.org/I1289243028","https://openalex.org/I1330989302","https://openalex.org/I39565521","https://openalex.org/I4210159294"]},{"id":"https://openalex.org/I160606119","display_name":"University of Tennessee Health Science Center","ror":"https://ror.org/0011qv509","country_code":"US","type":"education","lineage":["https://openalex.org/I160606119"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Arash Shaban-Nejad","raw_affiliation_strings":["Department of Pediatrics, College of Medicine, Uthsc-Ornl Center for Biomedical Informatics, University of Tennessee Health Science Center, Memphis, TN, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Pediatrics, College of Medicine, Uthsc-Ornl Center for Biomedical Informatics, University of Tennessee Health Science Center, Memphis, TN, USA","institution_ids":["https://openalex.org/I160606119","https://openalex.org/I1289243028"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.5133,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.81756245,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"914","issue":null,"first_page":"5854","last_page":"5858"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.988099992275238,"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"}},"topics":[{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.988099992275238,"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/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9876999855041504,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11819","display_name":"Data-Driven Disease Surveillance","score":0.982699990272522,"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/big-data","display_name":"Big data","score":0.7511038780212402},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.6456276178359985},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.6352822780609131},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6023848652839661},{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.5639539957046509},{"id":"https://openalex.org/keywords/health-informatics","display_name":"Health informatics","score":0.48769888281822205},{"id":"https://openalex.org/keywords/public-health","display_name":"Public health","score":0.48178622126579285},{"id":"https://openalex.org/keywords/pandemic","display_name":"Pandemic","score":0.4605523645877838},{"id":"https://openalex.org/keywords/disease-surveillance","display_name":"Disease surveillance","score":0.45938923954963684},{"id":"https://openalex.org/keywords/public-health-surveillance","display_name":"Public health surveillance","score":0.4539102017879486},{"id":"https://openalex.org/keywords/preparedness","display_name":"Preparedness","score":0.4427546262741089},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.440187931060791},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.28447312116622925},{"id":"https://openalex.org/keywords/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.27573227882385254},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2545278072357178},{"id":"https://openalex.org/keywords/infectious-disease","display_name":"Infectious disease (medical specialty)","score":0.22190791368484497},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.20435616374015808},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.18427300453186035},{"id":"https://openalex.org/keywords/environmental-health","display_name":"Environmental health","score":0.1252690851688385},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.08459606766700745}],"concepts":[{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.7511038780212402},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.6456276178359985},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.6352822780609131},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6023848652839661},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.5639539957046509},{"id":"https://openalex.org/C145642194","wikidata":"https://www.wikidata.org/wiki/Q870895","display_name":"Health informatics","level":3,"score":0.48769888281822205},{"id":"https://openalex.org/C138816342","wikidata":"https://www.wikidata.org/wiki/Q189603","display_name":"Public health","level":2,"score":0.48178622126579285},{"id":"https://openalex.org/C89623803","wikidata":"https://www.wikidata.org/wiki/Q12184","display_name":"Pandemic","level":5,"score":0.4605523645877838},{"id":"https://openalex.org/C2776480101","wikidata":"https://www.wikidata.org/wiki/Q3555250","display_name":"Disease surveillance","level":3,"score":0.45938923954963684},{"id":"https://openalex.org/C2776361769","wikidata":"https://www.wikidata.org/wiki/Q821775","display_name":"Public health surveillance","level":3,"score":0.4539102017879486},{"id":"https://openalex.org/C2777042776","wikidata":"https://www.wikidata.org/wiki/Q4583103","display_name":"Preparedness","level":2,"score":0.4427546262741089},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.440187931060791},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.28447312116622925},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.27573227882385254},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2545278072357178},{"id":"https://openalex.org/C524204448","wikidata":"https://www.wikidata.org/wiki/Q788926","display_name":"Infectious disease (medical specialty)","level":3,"score":0.22190791368484497},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.20435616374015808},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.18427300453186035},{"id":"https://openalex.org/C99454951","wikidata":"https://www.wikidata.org/wiki/Q932068","display_name":"Environmental health","level":1,"score":0.1252690851688385},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.08459606766700745},{"id":"https://openalex.org/C159110408","wikidata":"https://www.wikidata.org/wiki/Q121176","display_name":"Nursing","level":1,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata52589.2021.9671429","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata52589.2021.9671429","pdf_url":null,"source":{"id":"https://openalex.org/S4363607718","display_name":"2021 IEEE International Conference on Big Data (Big Data)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"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":"2021 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.7900000214576721}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W2078639378","https://openalex.org/W2134232070","https://openalex.org/W2402912048","https://openalex.org/W2597603852","https://openalex.org/W2682314372","https://openalex.org/W2802389295","https://openalex.org/W2944176689","https://openalex.org/W2963641083","https://openalex.org/W2995523160","https://openalex.org/W3000079853","https://openalex.org/W3017442015","https://openalex.org/W3091797093","https://openalex.org/W3095822543","https://openalex.org/W3182546273","https://openalex.org/W3185885987","https://openalex.org/W3185939438","https://openalex.org/W4300172425","https://openalex.org/W6680144998","https://openalex.org/W6713229390","https://openalex.org/W6735632633","https://openalex.org/W6737454590"],"related_works":["https://openalex.org/W57672338","https://openalex.org/W1536524154","https://openalex.org/W4297265718","https://openalex.org/W2947258557","https://openalex.org/W1680731157","https://openalex.org/W2125523620","https://openalex.org/W4285217346","https://openalex.org/W4399485169","https://openalex.org/W2085827856","https://openalex.org/W2104923010"],"abstract_inverted_index":{"The":[0],"coronavirus":[1,20],"disease":[2,8,59],"2019":[3],"(COVID-19)":[4],"is":[5,101],"an":[6,146],"infectious":[7],"with":[9],"high":[10],"transmissibility":[11],"and":[12,25,39,43,48,63,84,97,119,134,174],"acquired":[13],"through":[14],"the":[15,34,53,73,102,105],"severe":[16],"acute":[17],"respiratory":[18],"syndrome":[19],"2":[21],"(SARS-COV-2).":[22],"Scientists,":[23],"physicians,":[24],"health":[26,54,99,137,171,176],"officials":[27],"are":[28,116],"seeking":[29],"innovative":[30],"approaches":[31],"to":[32,80,125,153],"understand":[33],"complex":[35],"COVID-19":[36],"pandemic":[37,82],"pathway":[38],"decrease":[40],"its":[41],"morbidity":[42],"mortality.":[44],"Incorporating":[45],"artificial":[46],"intelligence":[47],"data":[49,78,93,110,132,150,166],"science":[50,55],"techniques":[51],"across":[52],"domain":[56],"could":[57],"improve":[58,81],"surveillance,":[60],"intervention":[61],"planning,":[62],"policymaking.":[64],"In":[65],"this":[66],"paper,":[67],"we":[68],"report":[69],"our":[70],"effort":[71],"on":[72],"deployment":[74],"of":[75,104,107,136,162,170],"multimodal":[76,91,149,163],"big":[77,92],"analytics":[79,94,151],"surveillance":[83,156],"preparedness.":[85],"A":[86],"common":[87],"challenge":[88],"for":[89,114],"conducting":[90],"in":[95],"clinical":[96,173],"public":[98],"settings":[100],"issue":[103],"integration":[106],"multidimensional":[108],"heterogeneous":[109],"sources.":[111],"Additional":[112],"challenges":[113],"developers":[115],"explaining":[117],"decisions":[118],"actions":[120],"made":[121],"by":[122,157],"intelligent":[123],"systems":[124],"human":[126],"users,":[127],"maintaining":[128],"interpretability":[129],"between":[130],"different":[131],"sources,":[133],"privacy":[135],"information.":[138],"We":[139],"present":[140],"Urban":[141],"Population":[142],"Health":[143],"Observatory":[144],"(UPHO),":[145],"explainable":[147],"knowledge-based":[148],"platform":[152],"facilitate":[154],"CoVID-19":[155],"integrating":[158],"a":[159],"large":[160],"volume":[161],"multidimensional,":[164],"heterogenous":[165],"including":[167],"social":[168],"determinants":[169],"indicators,":[172],"population":[175],"data.":[177]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}