{"id":"https://openalex.org/W3135251989","doi":"https://doi.org/10.1145/3448823.3448867","title":"DeepDive","display_name":"DeepDive","publication_year":2020,"publication_date":"2020-12-09","ids":{"openalex":"https://openalex.org/W3135251989","doi":"https://doi.org/10.1145/3448823.3448867","mag":"3135251989"},"language":"en","primary_location":{"id":"doi:10.1145/3448823.3448867","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3448823.3448867","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 4th International Conference on Vision, Image and Signal Processing","raw_type":"proceedings-article"},"type":"conference-paper","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/A5091445235","display_name":"Jinwei Liu","orcid":"https://orcid.org/0000-0001-8161-5004"},"institutions":[{"id":"https://openalex.org/I8248082","display_name":"Florida Agricultural and Mechanical University","ror":"https://ror.org/00c4wc133","country_code":"US","type":"education","lineage":["https://openalex.org/I8248082"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jinwei Liu","raw_affiliation_strings":["Department of Computer and Information Sciences, Florida A&amp;M University, Tallahassee, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Sciences, Florida A&amp;M University, Tallahassee, USA","institution_ids":["https://openalex.org/I8248082"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073321754","display_name":"Long Cheng","orcid":"https://orcid.org/0000-0003-1638-059X"},"institutions":[{"id":"https://openalex.org/I153473198","display_name":"North China Electric Power University","ror":"https://ror.org/04qr5t414","country_code":"CN","type":"education","lineage":["https://openalex.org/I153473198"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Long Cheng","raw_affiliation_strings":["School of Control and Computer Engineering, North China Electric Power University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Control and Computer Engineering, North China Electric Power University, Beijing, China","institution_ids":["https://openalex.org/I153473198"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009634429","display_name":"Hongmei Chi","orcid":"https://orcid.org/0000-0003-4610-6479"},"institutions":[{"id":"https://openalex.org/I8248082","display_name":"Florida Agricultural and Mechanical University","ror":"https://ror.org/00c4wc133","country_code":"US","type":"education","lineage":["https://openalex.org/I8248082"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hongmei Chi","raw_affiliation_strings":["Department of Computer and Information Sciences, Florida A&amp;M University, Tallahassee, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Sciences, Florida A&amp;M University, Tallahassee, USA","institution_ids":["https://openalex.org/I8248082"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.6259,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.90083799,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10235","display_name":"Health disparities and outcomes","score":0.9878000020980835,"subfield":{"id":"https://openalex.org/subfields/3306","display_name":"Health"},"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/T10235","display_name":"Health disparities and outcomes","score":0.9878000020980835,"subfield":{"id":"https://openalex.org/subfields/3306","display_name":"Health"},"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/T11296","display_name":"COVID-19 and healthcare impacts","score":0.9388999938964844,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"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/T10168","display_name":"COVID-19 and Mental Health","score":0.9366999864578247,"subfield":{"id":"https://openalex.org/subfields/3203","display_name":"Clinical Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/pandemic","display_name":"Pandemic","score":0.7797430753707886},{"id":"https://openalex.org/keywords/health-equity","display_name":"Health equity","score":0.6892561912536621},{"id":"https://openalex.org/keywords/disadvantaged","display_name":"Disadvantaged","score":0.6824790835380554},{"id":"https://openalex.org/keywords/disadvantage","display_name":"Disadvantage","score":0.6719399690628052},{"id":"https://openalex.org/keywords/social-determinants-of-health","display_name":"Social determinants of health","score":0.6343579292297363},{"id":"https://openalex.org/keywords/ethnic-group","display_name":"Ethnic group","score":0.606156051158905},{"id":"https://openalex.org/keywords/vulnerability","display_name":"Vulnerability (computing)","score":0.5118948221206665},{"id":"https://openalex.org/keywords/health-care","display_name":"Health care","score":0.4764195382595062},{"id":"https://openalex.org/keywords/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.4544352889060974},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.4479387402534485},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.3807288408279419},{"id":"https://openalex.org/keywords/environmental-health","display_name":"Environmental health","score":0.3517347574234009},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.3126148581504822},{"id":"https://openalex.org/keywords/economic-growth","display_name":"Economic growth","score":0.28701508045196533},{"id":"https://openalex.org/keywords/infectious-disease","display_name":"Infectious disease (medical specialty)","score":0.10781484842300415},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.10339498519897461},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.06407496333122253},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.06406307220458984}],"concepts":[{"id":"https://openalex.org/C89623803","wikidata":"https://www.wikidata.org/wiki/Q12184","display_name":"Pandemic","level":5,"score":0.7797430753707886},{"id":"https://openalex.org/C2250968","wikidata":"https://www.wikidata.org/wiki/Q1512929","display_name":"Health equity","level":3,"score":0.6892561912536621},{"id":"https://openalex.org/C2780623907","wikidata":"https://www.wikidata.org/wiki/Q106394435","display_name":"Disadvantaged","level":2,"score":0.6824790835380554},{"id":"https://openalex.org/C2777673361","wikidata":"https://www.wikidata.org/wiki/Q5281228","display_name":"Disadvantage","level":2,"score":0.6719399690628052},{"id":"https://openalex.org/C78491826","wikidata":"https://www.wikidata.org/wiki/Q3045352","display_name":"Social determinants of health","level":3,"score":0.6343579292297363},{"id":"https://openalex.org/C137403100","wikidata":"https://www.wikidata.org/wiki/Q41710","display_name":"Ethnic group","level":2,"score":0.606156051158905},{"id":"https://openalex.org/C95713431","wikidata":"https://www.wikidata.org/wiki/Q631425","display_name":"Vulnerability (computing)","level":2,"score":0.5118948221206665},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.4764195382595062},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.4544352889060974},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.4479387402534485},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3807288408279419},{"id":"https://openalex.org/C99454951","wikidata":"https://www.wikidata.org/wiki/Q932068","display_name":"Environmental health","level":1,"score":0.3517347574234009},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.3126148581504822},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.28701508045196533},{"id":"https://openalex.org/C524204448","wikidata":"https://www.wikidata.org/wiki/Q788926","display_name":"Infectious disease (medical specialty)","level":3,"score":0.10781484842300415},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.10339498519897461},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.06407496333122253},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.06406307220458984},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3448823.3448867","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3448823.3448867","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 4th International Conference on Vision, Image and Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8299999833106995,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W2041781505","https://openalex.org/W2043464691","https://openalex.org/W2062613007","https://openalex.org/W2141249815","https://openalex.org/W2469921445","https://openalex.org/W2518887446","https://openalex.org/W2562443541","https://openalex.org/W2796615944","https://openalex.org/W2963860791","https://openalex.org/W3010149085","https://openalex.org/W3014199470","https://openalex.org/W3015807396","https://openalex.org/W3016897715","https://openalex.org/W3016902371","https://openalex.org/W3017384149","https://openalex.org/W3021626303","https://openalex.org/W3029900228","https://openalex.org/W3036522571","https://openalex.org/W3043029185","https://openalex.org/W3108710300"],"related_works":["https://openalex.org/W3183829283","https://openalex.org/W3108412324","https://openalex.org/W4233688926","https://openalex.org/W635231663","https://openalex.org/W2023322958","https://openalex.org/W4236826072","https://openalex.org/W2793804640","https://openalex.org/W2324788627","https://openalex.org/W2348116540","https://openalex.org/W2788786534"],"abstract_inverted_index":{"The":[0,182],"Coronavirus":[1],"disease":[2],"2019":[3],"(COVID-19)":[4],"pandemic":[5,197],"has":[6,20],"severely":[7],"impacted":[8,24],"countries":[9],"around":[10],"the":[11,44,59,79,92,115,142,178],"world":[12],"with":[13,83,192],"unprecedented":[14],"mortality":[15],"and":[16,19,22,28,76,81,94,118,140,145,157,167],"economic":[17],"devastation":[18],"disproportionately":[21],"negatively":[23],"different":[25],"communities---especially":[26],"racial":[27,156],"ethnic":[29,158],"minorities":[30,159],"who":[31,160],"are":[32,39,52,161],"at":[33],"a":[34,129,193],"particular":[35],"disadvantage":[36,63],"as":[37],"they":[38],"more":[40],"likely":[41],"to":[42,55,58,90,110,149,171,195],"be":[43],"potential":[45],"target":[46],"of":[47,62,78,121,132,180],"COVID-19":[48,56,125,138,172],"infection.":[49],"Black":[50],"Americans":[51],"especially":[53],"vulnerable":[54],"due":[57,170],"longstanding":[60],"history":[61],"(e.g.,":[64],"long-standing":[65],"disparities":[66,100,123,134,154],"in":[67,101,124,151,165],"health":[68,96,122,133,147,190,198],"outcome).":[69],"Although":[70],"some":[71],"prior":[72],"research":[73,87,183],"indicates":[74],"highrisk":[75],"vulnerability":[77],"elderly":[80],"patients":[82],"underlying":[84],"co-morbidities,":[85],"little":[86],"paid":[88],"attention":[89],"tracing":[91],"social":[93],"structural":[95],"determinants":[97,113,148,191],"that":[98],"yield":[99],"this":[102,105],"pandemic.":[103,126,173],"In":[104],"paper,":[106],"we":[107],"propose":[108],"DeepDive":[109],"identify":[111],"diverse":[112],"(including":[114],"structural,":[116,143],"social,":[117,144],"constructural":[119,146],"determinants)":[120],"We":[127],"provide":[128],"thorough":[130],"analysis":[131],"based":[135],"on":[136],"multiple":[137],"datasets":[139],"examine":[141],"assist":[150],"ascertaining":[152],"why":[153],"(in":[155],"particularly":[162],"disadvantaged)":[163],"occur":[164],"infection":[166],"death":[168],"rates":[169],"Extensive":[174],"experimental":[175],"results":[176],"show":[177],"effectiveness":[179],"DeepDive.":[181],"provides":[184],"new":[185],"strategies":[186],"for":[187],"determining":[188],"these":[189],"goal":[194],"improve":[196],"care.":[199]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2021-03-15T00:00:00"}
