{"id":"https://openalex.org/W4313413009","doi":"https://doi.org/10.1109/bibm55620.2022.9994915","title":"Cost-effective Vaccine Provisioning using Coalitional Game Theory","display_name":"Cost-effective Vaccine Provisioning using Coalitional Game Theory","publication_year":2022,"publication_date":"2022-12-06","ids":{"openalex":"https://openalex.org/W4313413009","doi":"https://doi.org/10.1109/bibm55620.2022.9994915"},"language":"en","primary_location":{"id":"doi:10.1109/bibm55620.2022.9994915","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/bibm55620.2022.9994915","pdf_url":null,"source":{"id":"https://openalex.org/S4363607730","display_name":"2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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":"2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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":null,"display_name":"Satyaki Roy","orcid":null},"institutions":[{"id":"https://openalex.org/I4210130649","display_name":"Frederick National Laboratory for Cancer Research","ror":"https://ror.org/03v6m3209","country_code":"US","type":"facility","lineage":["https://openalex.org/I1299022934","https://openalex.org/I1299303238","https://openalex.org/I4210130649","https://openalex.org/I4210140884"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Satyaki Roy","raw_affiliation_strings":["Bioinformatics and Computational Science Frederick National Laboratory for Cancer Research,Frederick,MD,USA","Bioinformatics and Computational Science Frederick National Laboratory for Cancer Research, Frederick, MD, USA"],"affiliations":[{"raw_affiliation_string":"Bioinformatics and Computational Science Frederick National Laboratory for Cancer Research,Frederick,MD,USA","institution_ids":["https://openalex.org/I4210130649"]},{"raw_affiliation_string":"Bioinformatics and Computational Science Frederick National Laboratory for Cancer Research, Frederick, MD, USA","institution_ids":["https://openalex.org/I4210130649"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058246496","display_name":"Ahmad F. Al Musawi","orcid":"https://orcid.org/0000-0002-5508-9968"},"institutions":[{"id":"https://openalex.org/I202735123","display_name":"Thi Qar University","ror":"https://ror.org/02ypa8k59","country_code":"IQ","type":"education","lineage":["https://openalex.org/I202735123"]}],"countries":["IQ"],"is_corresponding":false,"raw_author_name":"Ahmad F. Al Musawi","raw_affiliation_strings":["University of Thi Qar,Dept. of Information Technology,Thi Qar,Iraq","Dept. of Information Technology, University of Thi Qar, Thi Qar, Iraq"],"affiliations":[{"raw_affiliation_string":"University of Thi Qar,Dept. of Information Technology,Thi Qar,Iraq","institution_ids":["https://openalex.org/I202735123"]},{"raw_affiliation_string":"Dept. of Information Technology, University of Thi Qar, Thi Qar, Iraq","institution_ids":["https://openalex.org/I202735123"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080886331","display_name":"Preetam Ghosh","orcid":"https://orcid.org/0000-0003-3880-5886"},"institutions":[{"id":"https://openalex.org/I184840846","display_name":"Virginia Commonwealth University","ror":"https://ror.org/02nkdxk79","country_code":"US","type":"education","lineage":["https://openalex.org/I184840846"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Preetam Ghosh","raw_affiliation_strings":["Virginia Commonwealth University,Dept. of Computer Science,Richmond,Virginia,USA","Dept. of Computer Science, Virginia Commonwealth University, Richmond, Virginia, USA"],"affiliations":[{"raw_affiliation_string":"Virginia Commonwealth University,Dept. of Computer Science,Richmond,Virginia,USA","institution_ids":["https://openalex.org/I184840846"]},{"raw_affiliation_string":"Dept. of Computer Science, Virginia Commonwealth University, Richmond, Virginia, USA","institution_ids":["https://openalex.org/I184840846"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210130649"],"apc_list":null,"apc_paid":null,"fwci":0.9303,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.74796748,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"795","last_page":"798"},"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":0.9962999820709229,"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/T10118","display_name":"SARS-CoV-2 and COVID-19 Research","score":0.995199978351593,"subfield":{"id":"https://openalex.org/subfields/2725","display_name":"Infectious Diseases"},"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/provisioning","display_name":"Provisioning","score":0.8806450963020325},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6139438152313232},{"id":"https://openalex.org/keywords/battle","display_name":"Battle","score":0.592129111289978},{"id":"https://openalex.org/keywords/game-theory","display_name":"Game theory","score":0.48948681354522705},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.46383294463157654},{"id":"https://openalex.org/keywords/vaccination","display_name":"Vaccination","score":0.4594382643699646},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.43693971633911133},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.40296122431755066},{"id":"https://openalex.org/keywords/risk-analysis","display_name":"Risk analysis (engineering)","score":0.38062360882759094},{"id":"https://openalex.org/keywords/environmental-health","display_name":"Environmental health","score":0.3062293529510498},{"id":"https://openalex.org/keywords/microeconomics","display_name":"Microeconomics","score":0.25842195749282837},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.24337875843048096},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.23763468861579895},{"id":"https://openalex.org/keywords/virology","display_name":"Virology","score":0.23028358817100525},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.2087537944316864},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.18247416615486145},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12292930483818054},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1037893295288086}],"concepts":[{"id":"https://openalex.org/C172191483","wikidata":"https://www.wikidata.org/wiki/Q1071806","display_name":"Provisioning","level":2,"score":0.8806450963020325},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6139438152313232},{"id":"https://openalex.org/C2778627824","wikidata":"https://www.wikidata.org/wiki/Q178561","display_name":"Battle","level":2,"score":0.592129111289978},{"id":"https://openalex.org/C177142836","wikidata":"https://www.wikidata.org/wiki/Q44455","display_name":"Game theory","level":2,"score":0.48948681354522705},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.46383294463157654},{"id":"https://openalex.org/C22070199","wikidata":"https://www.wikidata.org/wiki/Q192995","display_name":"Vaccination","level":2,"score":0.4594382643699646},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.43693971633911133},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.40296122431755066},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.38062360882759094},{"id":"https://openalex.org/C99454951","wikidata":"https://www.wikidata.org/wiki/Q932068","display_name":"Environmental health","level":1,"score":0.3062293529510498},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.25842195749282837},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.24337875843048096},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.23763468861579895},{"id":"https://openalex.org/C159047783","wikidata":"https://www.wikidata.org/wiki/Q7215","display_name":"Virology","level":1,"score":0.23028358817100525},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.2087537944316864},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.18247416615486145},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12292930483818054},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1037893295288086},{"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/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/bibm55620.2022.9994915","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/bibm55620.2022.9994915","pdf_url":null,"source":{"id":"https://openalex.org/S4363607730","display_name":"2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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":"2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.800000011920929,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W2161728228","https://openalex.org/W2167536350","https://openalex.org/W2488847224","https://openalex.org/W3031121908","https://openalex.org/W3089229983","https://openalex.org/W3128010016","https://openalex.org/W3171797874","https://openalex.org/W3171952049","https://openalex.org/W4205869788","https://openalex.org/W6783452780"],"related_works":["https://openalex.org/W2003237632","https://openalex.org/W2120337598","https://openalex.org/W2350977361","https://openalex.org/W2348097125","https://openalex.org/W3030212771","https://openalex.org/W2000391299","https://openalex.org/W2994023542","https://openalex.org/W2999081595","https://openalex.org/W1558737772","https://openalex.org/W1968712166"],"abstract_inverted_index":{"Rapid":[0],"development":[1],"and":[2,23,25],"distribution":[3,30],"of":[4,10,31,63,70,83,106,150,158],"vaccines":[5,32,64],"have":[6,33],"been":[7,34,39],"a":[8,50,122],"hallmark":[9],"the":[11,16,29,61,67,99,103,130,142,147,156,159],"battle":[12],"against":[13],"COVID-19.":[14],"While":[15],"efficacy,":[17],"clinical":[18,26],"trials,":[19],"adverse":[20],"health":[21],"effects,":[22],"sociodemographic":[24],"factors":[27],"determining":[28],"studied":[35],"extensively,":[36],"there":[37],"has":[38],"little":[40],"effort":[41],"to":[42,59,92,101,154],"design":[43],"cost-effective":[44],"vaccine":[45,51,104],"provisioning":[46,52],"schemes.":[47],"We":[48,125],"introduce":[49],"scheme":[53],"that":[54],"leverages":[55],"coalitional":[56],"game":[57],"theory":[58],"improve":[60],"cost":[62],"while":[65,88],"meeting":[66],"epidemiological":[68,111],"demand":[69,105],"neighboring":[71],"zones.":[72],"The":[73],"proposed":[74],"approach":[75],"incentivizes":[76],"bulk":[77],"purchases":[78],"by":[79],"groups":[80],"(or":[81],"coalitions)":[82],"zones":[84,107],"at":[85],"lower":[86],"prices":[87],"penalizing":[89],"large":[90],"coalitions":[91],"avoid":[93],"logistical":[94],"challenges.":[95],"Moreover,":[96],"it":[97],"enables":[98],"policymaker":[100],"model":[102,138],"based":[108],"on":[109],"their":[110],"profiles,":[112],"such":[113],"as":[114,139,141],"susceptible,":[115],"infected":[116],"numbers":[117],"or":[118,121],"population":[119],"density,":[120],"combination":[123],"thereof.":[124],"carry":[126],"out":[127],"experiments":[128],"using":[129],"SEIRD":[131],"(susceptible,":[132],"exposed,":[133],"infected,":[134],"recovered,":[135],"death)":[136],"epidemic":[137],"well":[140],"daily":[143],"confirmed":[144],"cases":[145],"in":[146],"five":[148],"boroughs":[149],"New":[151],"York":[152],"City":[153],"show":[155],"efficacy":[157],"approach.":[160]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}