{"id":"https://openalex.org/W4386361585","doi":"https://doi.org/10.1109/icccn58024.2023.10230101","title":"DeepHealth: Geospatial and ML-Based Approach to Identify Health Disparities and Determinants for Improving Pandemic Health Care","display_name":"DeepHealth: Geospatial and ML-Based Approach to Identify Health Disparities and Determinants for Improving Pandemic Health Care","publication_year":2023,"publication_date":"2023-07-01","ids":{"openalex":"https://openalex.org/W4386361585","doi":"https://doi.org/10.1109/icccn58024.2023.10230101"},"language":"en","primary_location":{"id":"doi:10.1109/icccn58024.2023.10230101","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icccn58024.2023.10230101","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 32nd International Conference on Computer Communications and Networks (ICCCN)","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":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jinwei Liu","raw_affiliation_strings":["Florida A&#x0026;M University,Department of Computer and Information Sciences,Tallahassee,FL,USA,32307"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Florida A&#x0026;M University,Department of Computer and Information Sciences,Tallahassee,FL,USA,32307","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055299345","display_name":"Rui Gong","orcid":null},"institutions":[{"id":"https://openalex.org/I150149174","display_name":"Mercer University","ror":"https://ror.org/04bk7v425","country_code":"US","type":"education","lineage":["https://openalex.org/I150149174"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rui Gong","raw_affiliation_strings":["Mercer University,Department of Informatics and Mathematics,Macon,GA,USA,31207"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mercer University,Department of Informatics and Mathematics,Macon,GA,USA,31207","institution_ids":["https://openalex.org/I150149174"]}]},{"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","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"]},{"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/A5111984569","display_name":"Richard Al\u00f3","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Richard A. Alo","raw_affiliation_strings":["Florida A&#x0026;M University,Department of Computer and Information Sciences,Tallahassee,FL,USA,32307"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Florida A&#x0026;M University,Department of Computer and Information Sciences,Tallahassee,FL,USA,32307","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.28649835,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"18","issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10235","display_name":"Health disparities and outcomes","score":0.996399998664856,"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":0.996399998664856,"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/T10410","display_name":"COVID-19 epidemiological studies","score":0.9958000183105469,"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"}},{"id":"https://openalex.org/T11819","display_name":"Data-Driven Disease Surveillance","score":0.9950000047683716,"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/health-equity","display_name":"Health equity","score":0.7683672904968262},{"id":"https://openalex.org/keywords/social-determinants-of-health","display_name":"Social determinants of health","score":0.7643274068832397},{"id":"https://openalex.org/keywords/ethnic-group","display_name":"Ethnic group","score":0.5764716863632202},{"id":"https://openalex.org/keywords/pandemic","display_name":"Pandemic","score":0.5131610035896301},{"id":"https://openalex.org/keywords/geospatial-analysis","display_name":"Geospatial analysis","score":0.500124454498291},{"id":"https://openalex.org/keywords/disadvantaged","display_name":"Disadvantaged","score":0.4980945587158203},{"id":"https://openalex.org/keywords/race-and-health","display_name":"Race and health","score":0.4602140188217163},{"id":"https://openalex.org/keywords/racism","display_name":"Racism","score":0.45988500118255615},{"id":"https://openalex.org/keywords/health-care","display_name":"Health care","score":0.4476093053817749},{"id":"https://openalex.org/keywords/environmental-health","display_name":"Environmental health","score":0.4005107283592224},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.3714033365249634},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.33147871494293213},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.28661012649536133},{"id":"https://openalex.org/keywords/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.26801562309265137},{"id":"https://openalex.org/keywords/economic-growth","display_name":"Economic growth","score":0.2530280649662018},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.09256401658058167},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.0878760814666748}],"concepts":[{"id":"https://openalex.org/C2250968","wikidata":"https://www.wikidata.org/wiki/Q1512929","display_name":"Health equity","level":3,"score":0.7683672904968262},{"id":"https://openalex.org/C78491826","wikidata":"https://www.wikidata.org/wiki/Q3045352","display_name":"Social determinants of health","level":3,"score":0.7643274068832397},{"id":"https://openalex.org/C137403100","wikidata":"https://www.wikidata.org/wiki/Q41710","display_name":"Ethnic group","level":2,"score":0.5764716863632202},{"id":"https://openalex.org/C89623803","wikidata":"https://www.wikidata.org/wiki/Q12184","display_name":"Pandemic","level":5,"score":0.5131610035896301},{"id":"https://openalex.org/C9770341","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Geospatial analysis","level":2,"score":0.500124454498291},{"id":"https://openalex.org/C2780623907","wikidata":"https://www.wikidata.org/wiki/Q106394435","display_name":"Disadvantaged","level":2,"score":0.4980945587158203},{"id":"https://openalex.org/C104977270","wikidata":"https://www.wikidata.org/wiki/Q16000306","display_name":"Race and health","level":4,"score":0.4602140188217163},{"id":"https://openalex.org/C139838865","wikidata":"https://www.wikidata.org/wiki/Q8461","display_name":"Racism","level":2,"score":0.45988500118255615},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.4476093053817749},{"id":"https://openalex.org/C99454951","wikidata":"https://www.wikidata.org/wiki/Q932068","display_name":"Environmental health","level":1,"score":0.4005107283592224},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3714033365249634},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.33147871494293213},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.28661012649536133},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.26801562309265137},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.2530280649662018},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.09256401658058167},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.0878760814666748},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","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},{"id":"https://openalex.org/C524204448","wikidata":"https://www.wikidata.org/wiki/Q788926","display_name":"Infectious disease (medical specialty)","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icccn58024.2023.10230101","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icccn58024.2023.10230101","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 32nd International Conference on Computer Communications and Networks (ICCCN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8100000023841858,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1495061682","https://openalex.org/W1560107318","https://openalex.org/W1583700199","https://openalex.org/W2057921119","https://openalex.org/W2156633403","https://openalex.org/W2807931621","https://openalex.org/W2981448666","https://openalex.org/W3015807396","https://openalex.org/W3016897715","https://openalex.org/W3016902371","https://openalex.org/W3017384149","https://openalex.org/W3021491605","https://openalex.org/W3023031160","https://openalex.org/W3025752617","https://openalex.org/W3028156929","https://openalex.org/W3032937492","https://openalex.org/W3036402194","https://openalex.org/W3036522571","https://openalex.org/W3039534069","https://openalex.org/W3042483591","https://openalex.org/W3044412386","https://openalex.org/W3045622115","https://openalex.org/W3108710300","https://openalex.org/W3120595420","https://openalex.org/W3121021546","https://openalex.org/W3122609186","https://openalex.org/W3130645605","https://openalex.org/W3134283700","https://openalex.org/W3135251989","https://openalex.org/W3154465228","https://openalex.org/W3160918102","https://openalex.org/W3183494481","https://openalex.org/W3186639911","https://openalex.org/W4200445169","https://openalex.org/W4225087472","https://openalex.org/W4225101474","https://openalex.org/W4225163270","https://openalex.org/W6633497745","https://openalex.org/W6769723599"],"related_works":["https://openalex.org/W4388740158","https://openalex.org/W3156911701","https://openalex.org/W4287510518","https://openalex.org/W4388417224","https://openalex.org/W4236568937","https://openalex.org/W4385657331","https://openalex.org/W3213559332","https://openalex.org/W1605500464","https://openalex.org/W4298139149","https://openalex.org/W2435667741"],"abstract_inverted_index":{"The":[0,89,293],"COVID-19":[1,42,57,64,204,224,258],"pandemic":[2,290],"has":[3,11,73,100],"exacerbated":[4],"existing":[5,76],"health":[6,122,126,140,165,201,219,233,275,286,291,307,316,325],"disparities,":[7],"and":[8,16,20,44,81,85,91,108,111,138,163,183,197,226,231,243,253,278,288,326],"its":[9],"impact":[10],"fallen":[12],"disproportionately":[13],"on":[14,222,323],"disadvantaged":[15],"vulnerable":[17],"communities.":[18],"Racial":[19],"ethnic":[21,86,109,244],"minorities":[22,245],"such":[23],"as":[24],"Black":[25],"Americans":[26],"who":[27,246],"are":[28,33,45,247],"at":[29,47],"a":[30,52,67,130,170,181,208,215,282],"particular":[31],"disadvantage":[32],"more":[34],"likely":[35],"to":[36,63,102,154,158,189,235,257,301,314],"be":[37],"the":[38,56,70,75,98,103,114,135,160,194,228,264,306],"potential":[39],"target":[40],"of":[41,55,94,121,132,173,200,211,218,266,284,308],"infection":[43],"dying":[46],"alarmingly":[48],"high":[49],"rates.":[50],"Despite":[51],"promising":[53],"solution":[54],"vaccination":[58],"offers":[59],"hope,":[60],"equitable":[61],"access":[62],"vaccines":[65],"remains":[66],"challenge":[68],"in":[69,78,97,106,145,203,237,251],"US,":[71],"which":[72,167,206],"compounded":[74],"disparities":[77,123,202,220,240,287],"cases,":[79],"hospitalizations,":[80],"deaths":[82],"among":[83],"racial":[84,107,242],"minority":[87],"groups.":[88],"deep":[90],"pervasive":[92],"history":[93],"medical":[95],"racism":[96],"US":[99],"led":[101],"vaccine":[104],"hesitancy":[105],"minorities,":[110],"thereby":[112],"caused":[113],"disparities.":[115],"Although":[116],"some":[117],"studies":[118,133],"examine":[119,227],"determinants":[120,192,234],"(e.g.,":[124],"social":[125,327],"determinants),":[127],"there":[128],"is":[129],"shortage":[131],"examining":[134],"social,":[136,161,195,229],"structural":[137,162],"constructural":[139,164,198,232],"determinants,":[141,166],"either":[142],"alone":[143],"or":[144],"tandem":[146],"with":[147,281],"other":[148],"determinants.":[149],"Little":[150],"research":[151,270,294],"paid":[152],"attention":[153,300],"leveraging":[155],"geographic":[156],"information":[157],"trace":[159],"can":[168],"provide":[169,214],"lower":[171,209],"level":[172,210],"granularity.":[174,212],"In":[175],"this":[176],"paper,":[177],"we":[178],"propose":[179],"DeepHealth,":[180],"geospatial":[182],"ML-based":[184],"(machine":[185],"learning":[186],"based)":[187],"approach":[188,313],"identify":[190],"diverse":[191],"(including":[193],"structural,":[196,230],"determinants)":[199],"pandemic,":[205],"provides":[207,271],"We":[213],"thorough":[216],"analysis":[217],"based":[221],"multiple":[223],"datasets":[225],"assist":[236],"ascertaining":[238],"why":[239],"(in":[241],"particularly":[248],"disadvantaged)":[249],"occur":[250],"incidence":[252],"mortality":[254],"rates":[255],"due":[256],"pandemic.":[259],"Extensive":[260],"experimental":[261],"results":[262],"show":[263],"effectiveness":[265],"our":[267],"approach.":[268],"This":[269],"new":[272],"strategies":[273],"for":[274],"disparity":[276],"identification":[277],"determinant":[279],"tracking":[280],"goal":[283],"mitigating":[285],"improving":[289],"care.":[292],"suggests":[295],"that":[296,303],"policymakers":[297],"should":[298],"give":[299],"initiatives":[302],"will":[304],"protect":[305],"populations":[309],"(i.e.,":[310],"an":[311],"upstream":[312],"reducing":[315],"disparities)":[317],"rather":[318],"than":[319],"solely":[320],"focusing":[321],"only":[322],"providing":[324],"services.":[328]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
