{"id":"https://openalex.org/W4412468271","doi":"https://doi.org/10.1145/3726101.3726104","title":"A Game Theory Approach for Assessing COVID-19 Risk and Rationing Healthcare Resources","display_name":"A Game Theory Approach for Assessing COVID-19 Risk and Rationing Healthcare Resources","publication_year":2025,"publication_date":"2025-01-10","ids":{"openalex":"https://openalex.org/W4412468271","doi":"https://doi.org/10.1145/3726101.3726104"},"language":"en","primary_location":{"id":"doi:10.1145/3726101.3726104","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3726101.3726104","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3726101.3726104","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 7th Asia Pacific Information Technology Conference","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3726101.3726104","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5027762755","display_name":"Cheng\u2010Kuang Wu","orcid":"https://orcid.org/0000-0002-5466-9987"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]},{"id":"https://openalex.org/I32820368","display_name":"Guangdong Polytechnic of Science and Technology","ror":"https://ror.org/01wq2p249","country_code":"CN","type":"education","lineage":["https://openalex.org/I32820368"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cheng-Kuang Wu","raw_affiliation_strings":["School of Computer Science, Guangdong University of Science and Technology, China, Guangdong, China"],"raw_orcid":"https://orcid.org/0000-0002-5466-9987","affiliations":[{"raw_affiliation_string":"School of Computer Science, Guangdong University of Science and Technology, China, Guangdong, China","institution_ids":["https://openalex.org/I139024713","https://openalex.org/I32820368"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048830094","display_name":"Wei\u2010Chen Wu","orcid":"https://orcid.org/0000-0002-2419-6453"},"institutions":[{"id":"https://openalex.org/I43566213","display_name":"National Taipei University of Business","ror":"https://ror.org/029hrv109","country_code":"TW","type":"education","lineage":["https://openalex.org/I43566213"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Wei-Chen Wu","raw_affiliation_strings":["Department of Finance, National Taipei University of Business, Taiwan, Taipei, Taiwan"],"raw_orcid":"https://orcid.org/0000-0002-2419-6453","affiliations":[{"raw_affiliation_string":"Department of Finance, National Taipei University of Business, Taiwan, Taipei, Taiwan","institution_ids":["https://openalex.org/I43566213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5098347894","display_name":"Ching\u2010Lin Chi","orcid":null},"institutions":[{"id":"https://openalex.org/I151221077","display_name":"Chung Yuan Christian University","ror":"https://ror.org/02w8ws377","country_code":"TW","type":"education","lineage":["https://openalex.org/I151221077"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Ching-Lin Chi","raw_affiliation_strings":["College of Humanities and Education, Chung Yuan Christian University, Taiwan, Taoyuan, Taiwan"],"raw_orcid":"https://orcid.org/0009-0008-2415-8298","affiliations":[{"raw_affiliation_string":"College of Humanities and Education, Chung Yuan Christian University, Taiwan, Taoyuan, Taiwan","institution_ids":["https://openalex.org/I151221077"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"16","last_page":"23"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10315","display_name":"Decision-Making and Behavioral Economics","score":0.9898999929428101,"subfield":{"id":"https://openalex.org/subfields/1800","display_name":"General Decision Sciences"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10315","display_name":"Decision-Making and Behavioral Economics","score":0.9898999929428101,"subfield":{"id":"https://openalex.org/subfields/1800","display_name":"General Decision Sciences"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11413","display_name":"Risk and Portfolio Optimization","score":0.9708999991416931,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10804","display_name":"Health Systems, Economic Evaluations, Quality of Life","score":0.9430999755859375,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.679984450340271},{"id":"https://openalex.org/keywords/health-care","display_name":"Health care","score":0.6239210367202759},{"id":"https://openalex.org/keywords/rationing","display_name":"Rationing","score":0.5622999668121338},{"id":"https://openalex.org/keywords/game-theory","display_name":"Game theory","score":0.5503071546554565},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4613921642303467},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.3324170708656311},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.2226220667362213},{"id":"https://openalex.org/keywords/microeconomics","display_name":"Microeconomics","score":0.18741515278816223},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.16146737337112427},{"id":"https://openalex.org/keywords/economic-growth","display_name":"Economic growth","score":0.07106226682662964}],"concepts":[{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.679984450340271},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.6239210367202759},{"id":"https://openalex.org/C2775994111","wikidata":"https://www.wikidata.org/wiki/Q843478","display_name":"Rationing","level":3,"score":0.5622999668121338},{"id":"https://openalex.org/C177142836","wikidata":"https://www.wikidata.org/wiki/Q44455","display_name":"Game theory","level":2,"score":0.5503071546554565},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4613921642303467},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.3324170708656311},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.2226220667362213},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.18741515278816223},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.16146737337112427},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.07106226682662964},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"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/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3726101.3726104","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3726101.3726104","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3726101.3726104","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 7th Asia Pacific Information Technology Conference","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3726101.3726104","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3726101.3726104","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3726101.3726104","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 7th Asia Pacific Information Technology Conference","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8","score":0.5899999737739563}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4412468271.pdf","grobid_xml":"https://content.openalex.org/works/W4412468271.grobid-xml"},"referenced_works_count":8,"referenced_works":["https://openalex.org/W2002616065","https://openalex.org/W2167812033","https://openalex.org/W2603718981","https://openalex.org/W3008443627","https://openalex.org/W3022631060","https://openalex.org/W3043121573","https://openalex.org/W3093904257","https://openalex.org/W4300337452"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2087688663","https://openalex.org/W2041273331","https://openalex.org/W2009377299","https://openalex.org/W2093859299","https://openalex.org/W200429163","https://openalex.org/W2013249003","https://openalex.org/W4205505427","https://openalex.org/W2124266613","https://openalex.org/W4381660768"],"abstract_inverted_index":{"This":[0],"study":[1,28],"presents":[2],"a":[3,35,39,89,102,144],"synergistic":[4],"framework":[5,125],"based":[6],"on":[7,73,117],"game":[8,42,105],"theory":[9],"to":[10,87,101,126],"determine":[11,106],"the":[12,23,30,52,64,70,74,78,107,118,128,136],"optimal":[13],"allocation":[14,146],"of":[15,32,69,110],"healthcare":[16],"resources":[17,112],"across":[18,113],"all":[19,83,114],"affected":[20,58,75,95,133],"districts":[21,84],"considering":[22],"COVID-19":[24,53,71,129],"pandemic.":[25],"First,":[26],"this":[27,124],"examines":[29],"interplay":[31],"coronaviruses":[33],"and":[34,67],"response":[36],"commander":[37],"in":[38,131],"mutually":[40],"exclusive":[41],"involving":[43],"two":[44],"players.":[45],"A":[46],"mixed":[47],"strategy":[48],"Nash":[49],"equilibrium":[50],"calculates":[51],"risk":[54,61,79,130],"value":[55,62],"for":[56,93],"each":[57,94],"district.":[59,76,96,134],"The":[60],"represents":[63],"threat,":[65],"vulnerability,":[66],"impact":[68],"outbreak":[72],"Second,":[77],"values":[80],"obtained":[81],"from":[82],"are":[85],"utilized":[86],"compute":[88],"Shapley-Shubik":[90,137],"power":[91,138],"index":[92,139],"Their":[97],"respective":[98],"marginal":[99],"contributions":[100],"straightforward":[103],"cooperative":[104],"equitable":[108],"distribution":[109],"medical":[111],"districts.":[115],"Based":[116],"empirical":[119],"findings,":[120],"administrators":[121],"can":[122],"employ":[123],"estimate":[127],"every":[132],"Furthermore,":[135],"demonstrates":[140],"its":[141],"feasibility":[142],"as":[143],"resource":[145],"technique.":[147]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}