{"id":"https://openalex.org/W4385270553","doi":"https://doi.org/10.1109/uv56588.2022.10185517","title":"Wise in Vaccine Allocation","display_name":"Wise in Vaccine Allocation","publication_year":2022,"publication_date":"2022-10-22","ids":{"openalex":"https://openalex.org/W4385270553","doi":"https://doi.org/10.1109/uv56588.2022.10185517"},"language":"en","primary_location":{"id":"doi:10.1109/uv56588.2022.10185517","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/uv56588.2022.10185517","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 6th International Conference on Universal Village (UV)","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/A5114172829","display_name":"Baiqiao Yin","orcid":"https://orcid.org/0009-0007-4362-0823"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baiqiao Yin","raw_affiliation_strings":["Sun Yat-sen University,School of Intelligent Systems Engineering,Shenzhen,China","School of Intelligent Systems Engineering, Sun Yat-sen University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sun Yat-sen University,School of Intelligent Systems Engineering,Shenzhen,China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"School of Intelligent Systems Engineering, Sun Yat-sen University, Shenzhen, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112697938","display_name":"Jiaqing Yuan","orcid":"https://orcid.org/0000-0002-0539-3806"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaqing Yuan","raw_affiliation_strings":["Dalian University of Technology,School of Economics and Management,Dalian,China","School of Economics and Management, Dalian University of Technology, Dalian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dalian University of Technology,School of Economics and Management,Dalian,China","institution_ids":["https://openalex.org/I27357992"]},{"raw_affiliation_string":"School of Economics and Management, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092160919","display_name":"Weichen Lv","orcid":null},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weichen Lv","raw_affiliation_strings":["Sun Yat-sen University,School of Intelligent Systems Engineering,Shenzhen,China","School of Intelligent Systems Engineering, Sun Yat-sen University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sun Yat-sen University,School of Intelligent Systems Engineering,Shenzhen,China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"School of Intelligent Systems Engineering, Sun Yat-sen University, Shenzhen, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Guian Fang","orcid":null},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guian Fang","raw_affiliation_strings":["Sun Yat-sen University,School of Intelligent Systems Engineering,Shenzhen,China","School of Intelligent Systems Engineering, Sun Yat-sen University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sun Yat-sen University,School of Intelligent Systems Engineering,Shenzhen,China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"School of Intelligent Systems Engineering, Sun Yat-sen University, Shenzhen, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076907782","display_name":"Jiehui Huang","orcid":"https://orcid.org/0000-0002-3099-2886"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiehui Huang","raw_affiliation_strings":["Sun Yat-sen University,School of Intelligent Systems Engineering,Shenzhen,China","School of Intelligent Systems Engineering, Sun Yat-sen University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sun Yat-sen University,School of Intelligent Systems Engineering,Shenzhen,China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"School of Intelligent Systems Engineering, Sun Yat-sen University, Shenzhen, China","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"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":0.25825743,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"9","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10833","display_name":"Vaccine Coverage and Hesitancy","score":0.9994999766349792,"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/T10833","display_name":"Vaccine Coverage and Hesitancy","score":0.9994999766349792,"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":0.9990000128746033,"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/T10167","display_name":"Influenza Virus Research Studies","score":0.9948999881744385,"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/vaccination","display_name":"Vaccination","score":0.8272124528884888},{"id":"https://openalex.org/keywords/collinearity","display_name":"Collinearity","score":0.7372342944145203},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6767483949661255},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4706634283065796},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.42882683873176575},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.35746610164642334},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.3557082414627075},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23924413323402405},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.21660533547401428},{"id":"https://openalex.org/keywords/virology","display_name":"Virology","score":0.09059882164001465}],"concepts":[{"id":"https://openalex.org/C22070199","wikidata":"https://www.wikidata.org/wiki/Q192995","display_name":"Vaccination","level":2,"score":0.8272124528884888},{"id":"https://openalex.org/C106192678","wikidata":"https://www.wikidata.org/wiki/Q1419761","display_name":"Collinearity","level":2,"score":0.7372342944145203},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6767483949661255},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4706634283065796},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.42882683873176575},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.35746610164642334},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.3557082414627075},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23924413323402405},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.21660533547401428},{"id":"https://openalex.org/C159047783","wikidata":"https://www.wikidata.org/wiki/Q7215","display_name":"Virology","level":1,"score":0.09059882164001465},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/uv56588.2022.10185517","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/uv56588.2022.10185517","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 6th International Conference on Universal Village (UV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.6700000166893005,"display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W2046078150","https://openalex.org/W2064675550","https://openalex.org/W2788403524","https://openalex.org/W3105919389","https://openalex.org/W3106027361","https://openalex.org/W3137473975","https://openalex.org/W3171261489"],"related_works":["https://openalex.org/W2159670039","https://openalex.org/W4226120311","https://openalex.org/W3016530894","https://openalex.org/W2058928070","https://openalex.org/W4233429336","https://openalex.org/W4235291650","https://openalex.org/W3196914014","https://openalex.org/W4256422528","https://openalex.org/W2140731556","https://openalex.org/W2052330440"],"abstract_inverted_index":{"In":[0,39],"this":[1],"paper,":[2],"the":[3,14,20,40,43,52,67,78,84,95,102,110,113,118,128,131,137,140,155,164,169,178,181,196,199,233,237,241,244,256],"machine":[4],"learning":[5],"method":[6,122],"and":[7,19,32,61,69,108,151,153,168,177,212,218,247,272,293],"mathematical":[8],"model":[9,242,292],"are":[10],"used":[11,193,222],"to":[12,24,27,50,56,76,93,194,223,231],"predict":[13,77],"number":[15,132,165,170,182,200,206,251],"of":[16,22,42,46,54,71,130,133,166,171,180,183,198,201,207,236,243,252,258],"future":[17],"vaccinations,":[18],"problem":[21],"how":[23],"distribute":[25],"vaccines":[26,55],"central":[28,57,259,268],"hospitals,":[29,58,269,271],"community":[30,59,270],"hospitals":[31,60,260],"health":[33,62,273],"centers":[34,274],"is":[35,230],"solved":[36],"[1],":[37],"[2].":[38],"context":[41],"growing":[44],"importance":[45],"vaccination,":[47],"we":[48,88,147,161,248,295],"need":[49,68],"rationalize":[51],"distribution":[53,276],"centers,":[63],"taking":[64],"into":[65,240],"account":[66],"cost":[70],"vaccination.":[72],"First,":[73],"in":[74,105,288],"order":[75],"national":[79],"daily":[80,134],"vaccination":[81,96,103],"figures":[82,97],"for":[83,98,112,264,300],"next":[85,114],"three":[86,115],"months,":[87],"consulted":[89],"relevant":[90],"website":[91],"data":[92,150,235],"obtain":[94],"each":[99],"day":[100],"since":[101],"began":[104],"March":[106],"2021,":[107],"made":[109],"forecast":[111],"months":[116],"through":[117],"time":[119],"series":[120],"prediction":[121,142],"LSTM":[123],"[3],":[124],"[4].":[125],"Combined":[126],"with":[127,187,290],"increment":[129],"vaccinations":[135],"as":[136,261],"label":[138],"value,":[139],"final":[141],"results":[143],"were":[144],"obtained.":[145],"Second,":[146],"first":[148],"collected":[149,234],"analyzed":[152],"processed":[154],"characteristics.":[156],"Through":[157],"collinearity":[158],"analysis":[159],"[5],":[160],"found":[162],"that":[163],"residents":[167,184,254],"medical":[172,208],"personnel":[173],"had":[174],"strong":[175],"collinearity,":[176],"logarithm":[179],"was":[185,192,221],"calculated":[186],"log10.":[188],"Then":[189],"AHP":[190],"[6]":[191],"analyze":[195],"impact":[197],"nearby":[202,253],"residents,":[203],"convenient":[204],"transportation,":[205],"personnel,":[209],"vaccine":[210,216,275,301],"storage":[211],"transportation":[213],"costs":[214],"on":[215],"distribution,":[217],"CR":[219],"index":[220,257],"evaluate":[224],"our":[225,291],"model.":[226],"The":[227],"third":[228],"question":[229],"substitute":[232],"two":[238],"regions":[239],"previous":[245],"question,":[246],"subtract":[249],"10%":[250],"from":[255],"a":[262],"penalty":[263],"crowd":[265],"gathering.":[266],"Got":[267],"ratio:":[277],"Hangzhou":[278],"Gongshu":[279],"District":[280,284],"4.8:3.3:1.9;":[281],"Harbin":[282],"Daoli":[283],"3.6:4.7:1.7":[285],"[7].":[286],"Fourth,":[287],"combination":[289],"conclusions,":[294],"provide":[296],"an":[297],"adequate":[298],"explanation":[299],"distribution.":[302]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
