{"id":"https://openalex.org/W4293114739","doi":"https://doi.org/10.1145/3510249.3510270","title":"Initial COVID-19 Vaccine Distribution Policy Optimisation","display_name":"Initial COVID-19 Vaccine Distribution Policy Optimisation","publication_year":2021,"publication_date":"2021-12-17","ids":{"openalex":"https://openalex.org/W4293114739","doi":"https://doi.org/10.1145/3510249.3510270"},"language":"en","primary_location":{"id":"doi:10.1145/3510249.3510270","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3510249.3510270","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 3rd International Conference on E-Business and E-commerce Engineering","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/A5056490415","display_name":"Sijin Wu","orcid":"https://orcid.org/0000-0002-2120-3267"},"institutions":[{"id":"https://openalex.org/I130828816","display_name":"University of Leeds","ror":"https://ror.org/024mrxd33","country_code":"GB","type":"education","lineage":["https://openalex.org/I130828816"]},{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN","GB"],"is_corresponding":true,"raw_author_name":"Sijin Wu","raw_affiliation_strings":["Department of Statistics and Data Science,Southern University of Science and Technology,518055 Shenzhen,China;, Department of Statistics and Data Science,Southern University of Science and Technology,518055 Shenzhen,China;, China and Institute for Transport Studies, University of Leeds, UK","Department of Statistics and Data Science,Southern University of Science and Technology,518055 Shenzhen,China",", China and Institute for Transport Studies, University of Leeds, UK"],"affiliations":[{"raw_affiliation_string":"Department of Statistics and Data Science,Southern University of Science and Technology,518055 Shenzhen,China;, Department of Statistics and Data Science,Southern University of Science and Technology,518055 Shenzhen,China;, China and Institute for Transport Studies, University of Leeds, UK","institution_ids":["https://openalex.org/I3045169105"]},{"raw_affiliation_string":"Department of Statistics and Data Science,Southern University of Science and Technology,518055 Shenzhen,China","institution_ids":["https://openalex.org/I3045169105"]},{"raw_affiliation_string":", China and Institute for Transport Studies, University of Leeds, UK","institution_ids":["https://openalex.org/I130828816"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100778534","display_name":"Hao Sun","orcid":"https://orcid.org/0009-0003-8416-6920"},"institutions":[{"id":"https://openalex.org/I130828816","display_name":"University of Leeds","ror":"https://ror.org/024mrxd33","country_code":"GB","type":"education","lineage":["https://openalex.org/I130828816"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Hao Sun","raw_affiliation_strings":["School of Computing,University of Leeds,Leeds LS2 9JT,UK, School of Computing,University of Leeds,Leeds LS2 9JT,UK, UK"],"affiliations":[{"raw_affiliation_string":"School of Computing,University of Leeds,Leeds LS2 9JT,UK, School of Computing,University of Leeds,Leeds LS2 9JT,UK, UK","institution_ids":["https://openalex.org/I130828816"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089321694","display_name":"Yancheng Lu","orcid":null},"institutions":[{"id":"https://openalex.org/I130828816","display_name":"University of Leeds","ror":"https://ror.org/024mrxd33","country_code":"GB","type":"education","lineage":["https://openalex.org/I130828816"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yancheng Lu","raw_affiliation_strings":["School of Computing,University of Leeds,Leeds LS2 9JT,UK, School of Computing,University of Leeds,Leeds LS2 9JT,UK, UK"],"affiliations":[{"raw_affiliation_string":"School of Computing,University of Leeds,Leeds LS2 9JT,UK, School of Computing,University of Leeds,Leeds LS2 9JT,UK, UK","institution_ids":["https://openalex.org/I130828816"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010289028","display_name":"Susan Grant\u2010Muller","orcid":null},"institutions":[{"id":"https://openalex.org/I130828816","display_name":"University of Leeds","ror":"https://ror.org/024mrxd33","country_code":"GB","type":"education","lineage":["https://openalex.org/I130828816"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Susan Grant-Muller","raw_affiliation_strings":["Institute for Transport Studies, University of Leeds, UK"],"affiliations":[{"raw_affiliation_string":"Institute for Transport Studies, University of Leeds, UK","institution_ids":["https://openalex.org/I130828816"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070434985","display_name":"Lili Yang","orcid":"https://orcid.org/0000-0002-7070-9723"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lili Yang","raw_affiliation_strings":["Department of Statistics and Data Science, Southern University of Science and Technology, China"],"affiliations":[{"raw_affiliation_string":"Department of Statistics and Data Science, Southern University of Science and Technology, China","institution_ids":["https://openalex.org/I3045169105"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5056490415"],"corresponding_institution_ids":["https://openalex.org/I130828816","https://openalex.org/I3045169105"],"apc_list":null,"apc_paid":null,"fwci":0.1791,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.48350848,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"108","last_page":"118"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10410","display_name":"COVID-19 epidemiological studies","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10410","display_name":"COVID-19 epidemiological studies","score":0.9998999834060669,"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/T10833","display_name":"Vaccine Coverage and Hesitancy","score":0.9940999746322632,"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/T10167","display_name":"Influenza Virus Research Studies","score":0.9912999868392944,"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":0.625590443611145},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5324923396110535},{"id":"https://openalex.org/keywords/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.532439112663269},{"id":"https://openalex.org/keywords/transmission","display_name":"Transmission (telecommunications)","score":0.5293301343917847},{"id":"https://openalex.org/keywords/pandemic","display_name":"Pandemic","score":0.4962385296821594},{"id":"https://openalex.org/keywords/psychological-intervention","display_name":"Psychological intervention","score":0.48470544815063477},{"id":"https://openalex.org/keywords/distribution","display_name":"Distribution (mathematics)","score":0.46912121772766113},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.4506903886795044},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.43276020884513855},{"id":"https://openalex.org/keywords/risk-analysis","display_name":"Risk analysis (engineering)","score":0.4023616313934326},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.30382683873176575},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.24623090028762817},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21244513988494873},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.19924575090408325},{"id":"https://openalex.org/keywords/virology","display_name":"Virology","score":0.1899307370185852},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.10632213950157166}],"concepts":[{"id":"https://openalex.org/C22070199","wikidata":"https://www.wikidata.org/wiki/Q192995","display_name":"Vaccination","level":2,"score":0.625590443611145},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5324923396110535},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.532439112663269},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.5293301343917847},{"id":"https://openalex.org/C89623803","wikidata":"https://www.wikidata.org/wiki/Q12184","display_name":"Pandemic","level":5,"score":0.4962385296821594},{"id":"https://openalex.org/C27415008","wikidata":"https://www.wikidata.org/wiki/Q7256382","display_name":"Psychological intervention","level":2,"score":0.48470544815063477},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.46912121772766113},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.4506903886795044},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.43276020884513855},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.4023616313934326},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.30382683873176575},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.24623090028762817},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21244513988494873},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.19924575090408325},{"id":"https://openalex.org/C159047783","wikidata":"https://www.wikidata.org/wiki/Q7215","display_name":"Virology","level":1,"score":0.1899307370185852},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.10632213950157166},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.0},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","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:10.1145/3510249.3510270","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3510249.3510270","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 3rd International Conference on E-Business and E-commerce Engineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7799999713897705,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[{"id":"https://openalex.org/G1047826263","display_name":null,"funder_award_id":"ES/P01139X/1","funder_id":"https://openalex.org/F4320334630","funder_display_name":"Economic and Social Research Council"},{"id":"https://openalex.org/G2584763693","display_name":null,"funder_award_id":"ES/L011891/1","funder_id":"https://openalex.org/F4320334630","funder_display_name":"Economic and Social Research Council"}],"funders":[{"id":"https://openalex.org/F4320334630","display_name":"Economic and Social Research Council","ror":"https://ror.org/03n0ht308"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1980566077","https://openalex.org/W2000722602","https://openalex.org/W2052485019","https://openalex.org/W2059316621","https://openalex.org/W2079810016","https://openalex.org/W2097289778","https://openalex.org/W2108273817","https://openalex.org/W2125241192","https://openalex.org/W2146172573","https://openalex.org/W2312219549","https://openalex.org/W2314068551","https://openalex.org/W2580877667","https://openalex.org/W3009876049","https://openalex.org/W3015371627","https://openalex.org/W3017185871","https://openalex.org/W3021204073","https://openalex.org/W3024301792","https://openalex.org/W3043519548","https://openalex.org/W3048417293","https://openalex.org/W3049303363","https://openalex.org/W3081062975","https://openalex.org/W4214688960","https://openalex.org/W6682044371"],"related_works":["https://openalex.org/W3136336094","https://openalex.org/W1979560439","https://openalex.org/W2766329113","https://openalex.org/W4225788835","https://openalex.org/W4200558412","https://openalex.org/W3204138838","https://openalex.org/W120539917","https://openalex.org/W4390689692","https://openalex.org/W3165628818","https://openalex.org/W4281740907"],"abstract_inverted_index":{"As":[0],"COVID-19":[1,30],"becoming":[2],"a":[3,121,182,194],"global":[4],"epidemic,":[5],"owing":[6],"to":[7,27,94,126],"the":[8,18,22,29,33,36,57,63,80,117,141,146,151,156,160,164,187],"interventions\u2019":[9],"operation":[10],"limited":[11],"efficacy":[12],"and":[13,53,90,112,130,154,176,209],"virus\u2019":[14],"super":[15],"transmission":[16],"ability,":[17],"vaccine":[19,37,46,50,64,207],"is":[20],"considered":[21],"most":[23],"potent":[24],"method":[25],"left":[26],"cease":[28],"effectively.":[31],"At":[32],"beginning":[34],"of":[35,105,166],"distribution":[38,65],"policy":[39,66,82,107,177,199],"design,":[40],"there":[41],"were":[42],"many":[43,92],"real":[44],"concerns:":[45],"priority,":[47],"budget":[48,115],"control,":[49],"inventory":[51],"limitation,":[52],"expected":[54],"objectives":[55],"making":[56],"problem":[58],"complex.":[59],"The":[60,85,100,173,190],"research":[61,191],"optimised":[62,147,171],"(VDP)":[67],"in":[68,73,140,185,201],"an":[69,74],"explicit":[70],"form":[71],"incorporated":[72],"age-stratified":[75],"SEIR":[76],"model":[77],"based":[78],"on":[79],"proposed":[81],"optimisation":[83],"methodology.":[84],"VDP":[86,148,188],"could":[87,149,192],"explain":[88],"when":[89],"how":[91],"vaccines":[93],"take":[95],"for":[96,170,196],"each":[97],"age":[98],"group.":[99],"designed":[101],"evaluation":[102],"system":[103],"consisted":[104],"direct":[106],"cost,":[108,111],"indirect":[109],"healthcare":[110],"extra":[113],"financial":[114],"during":[116],"pandemic,":[118],"combined":[119],"as":[120],"weighted":[122],"sum":[123],"equalling":[124],"one":[125],"suit":[127],"flexible":[128,197],"scenarios":[129,203],"decision-makers\u2019":[131],"requirements.":[132],"A":[133],"case":[134],"study":[135],"with":[136],"ground":[137],"truth":[138],"data":[139],"U.K":[142],"was":[143],"implemented,":[144],"where":[145],"decrease":[150],"comprehensive":[152],"cost":[153],"suppress":[155],"virus":[157],"transmission.":[158],"Furthermore,":[159],"sensitivity":[161],"analysis":[162],"demonstrated":[163],"effect":[165],"some":[167],"critical":[168],"parameters":[169],"VDP.":[172],"vaccination":[174,198],"priority":[175],"objectives\u2019":[178],"weight":[179],"combination":[180],"play":[181],"significant":[183],"role":[184],"impacting":[186],"optimisation.":[189],"be":[193],"framework":[195],"design":[200],"different":[202],"by":[204],"changing":[205],"weights,":[206],"limitations,":[208],"other":[210],"initial":[211],"parameter":[212],"configurations.":[213]},"counts_by_year":[{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
