{"id":"https://openalex.org/W4375798895","doi":"https://doi.org/10.1109/lcsys.2023.3273504","title":"SIS Epidemic Propagation Under Strategic Non-Myopic Protection: A Dynamic Population Game Approach","display_name":"SIS Epidemic Propagation Under Strategic Non-Myopic Protection: A Dynamic Population Game Approach","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4375798895","doi":"https://doi.org/10.1109/lcsys.2023.3273504"},"language":"en","primary_location":{"id":"doi:10.1109/lcsys.2023.3273504","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lcsys.2023.3273504","pdf_url":null,"source":{"id":"https://openalex.org/S4306422535","display_name":"IEEE Control Systems Letters","issn_l":"2475-1456","issn":["2475-1456"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Control Systems Letters","raw_type":"journal-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/A5073398398","display_name":"Urmee Maitra","orcid":"https://orcid.org/0009-0007-9829-3743"},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Urmee Maitra","raw_affiliation_strings":["Department of Electrical Engineering, Indian Institute of Technology Kharagpur, Kharagpur, India"],"raw_orcid":"https://orcid.org/0009-0007-9829-3743","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Indian Institute of Technology Kharagpur, Kharagpur, India","institution_ids":["https://openalex.org/I145894827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026426839","display_name":"Ashish R. Hota","orcid":"https://orcid.org/0000-0003-0562-0594"},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ashish R. Hota","raw_affiliation_strings":["Department of Electrical Engineering, Indian Institute of Technology Kharagpur, Kharagpur, India"],"raw_orcid":"https://orcid.org/0000-0003-0562-0594","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Indian Institute of Technology Kharagpur, Kharagpur, India","institution_ids":["https://openalex.org/I145894827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085821818","display_name":"Vaibhav Srivastava","orcid":"https://orcid.org/0000-0002-9786-0159"},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vaibhav Srivastava","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Michigan State University, East Lansing, MI, USA"],"raw_orcid":"https://orcid.org/0000-0002-9786-0159","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Michigan State University, East Lansing, MI, USA","institution_ids":["https://openalex.org/I87216513"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5073398398"],"corresponding_institution_ids":["https://openalex.org/I145894827"],"apc_list":null,"apc_paid":null,"fwci":1.7247,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.82290887,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"7","issue":null,"first_page":"1578","last_page":"1583"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10410","display_name":"COVID-19 epidemiological studies","score":0.9973999857902527,"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":0.9973999857902527,"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/T10482","display_name":"Mathematical and Theoretical Epidemiology and Ecology Models","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/2739","display_name":"Public Health, Environmental and Occupational Health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11252","display_name":"Evolutionary Game Theory and Cooperation","score":0.9894000291824341,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/nash-equilibrium","display_name":"Nash equilibrium","score":0.6628198623657227},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.5900352001190186},{"id":"https://openalex.org/keywords/mathematical-economics","display_name":"Mathematical economics","score":0.5568545460700989},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5210984945297241},{"id":"https://openalex.org/keywords/best-response","display_name":"Best response","score":0.5164773464202881},{"id":"https://openalex.org/keywords/sequential-game","display_name":"Sequential game","score":0.4460827708244324},{"id":"https://openalex.org/keywords/time-horizon","display_name":"Time horizon","score":0.444683700799942},{"id":"https://openalex.org/keywords/sequential-equilibrium","display_name":"Sequential equilibrium","score":0.42042669653892517},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.40058767795562744},{"id":"https://openalex.org/keywords/microeconomics","display_name":"Microeconomics","score":0.3754526376724243},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3611438274383545},{"id":"https://openalex.org/keywords/game-theory","display_name":"Game theory","score":0.347136527299881},{"id":"https://openalex.org/keywords/repeated-game","display_name":"Repeated game","score":0.3380598723888397},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.32289430499076843},{"id":"https://openalex.org/keywords/equilibrium-selection","display_name":"Equilibrium selection","score":0.3199911117553711},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23751533031463623},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.1056390106678009},{"id":"https://openalex.org/keywords/economic-growth","display_name":"Economic growth","score":0.07225096225738525}],"concepts":[{"id":"https://openalex.org/C46814582","wikidata":"https://www.wikidata.org/wiki/Q23389","display_name":"Nash equilibrium","level":2,"score":0.6628198623657227},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5900352001190186},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.5568545460700989},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5210984945297241},{"id":"https://openalex.org/C32407928","wikidata":"https://www.wikidata.org/wiki/Q2733833","display_name":"Best response","level":3,"score":0.5164773464202881},{"id":"https://openalex.org/C73795354","wikidata":"https://www.wikidata.org/wiki/Q287618","display_name":"Sequential game","level":3,"score":0.4460827708244324},{"id":"https://openalex.org/C28761237","wikidata":"https://www.wikidata.org/wiki/Q7805321","display_name":"Time horizon","level":2,"score":0.444683700799942},{"id":"https://openalex.org/C201364048","wikidata":"https://www.wikidata.org/wiki/Q2897085","display_name":"Sequential equilibrium","level":5,"score":0.42042669653892517},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.40058767795562744},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.3754526376724243},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3611438274383545},{"id":"https://openalex.org/C177142836","wikidata":"https://www.wikidata.org/wiki/Q44455","display_name":"Game theory","level":2,"score":0.347136527299881},{"id":"https://openalex.org/C202556891","wikidata":"https://www.wikidata.org/wiki/Q1584646","display_name":"Repeated game","level":3,"score":0.3380598723888397},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.32289430499076843},{"id":"https://openalex.org/C164407509","wikidata":"https://www.wikidata.org/wiki/Q5384490","display_name":"Equilibrium selection","level":4,"score":0.3199911117553711},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23751533031463623},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.1056390106678009},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.07225096225738525},{"id":"https://openalex.org/C99454951","wikidata":"https://www.wikidata.org/wiki/Q932068","display_name":"Environmental health","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lcsys.2023.3273504","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lcsys.2023.3273504","pdf_url":null,"source":{"id":"https://openalex.org/S4306422535","display_name":"IEEE Control Systems Letters","issn_l":"2475-1456","issn":["2475-1456"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Control Systems Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.8399999737739563,"id":"https://metadata.un.org/sdg/3"}],"awards":[{"id":"https://openalex.org/G2997161311","display_name":null,"funder_award_id":"W911NF-18-1-0325","funder_id":"https://openalex.org/F4320338281","funder_display_name":"Army Research Office"}],"funders":[{"id":"https://openalex.org/F4320338281","display_name":"Army Research Office","ror":"https://ror.org/05epdh915"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1496590343","https://openalex.org/W1567092208","https://openalex.org/W2152980518","https://openalex.org/W2639437922","https://openalex.org/W3096725522","https://openalex.org/W3166875891","https://openalex.org/W3169146775","https://openalex.org/W3197661980","https://openalex.org/W4210366333","https://openalex.org/W4221139627","https://openalex.org/W4287196135","https://openalex.org/W4294690634","https://openalex.org/W4366764796","https://openalex.org/W4386453817","https://openalex.org/W4387089891","https://openalex.org/W6793815318","https://openalex.org/W6842662281"],"related_works":["https://openalex.org/W2778030638","https://openalex.org/W2953375265","https://openalex.org/W1151949413","https://openalex.org/W4299590005","https://openalex.org/W3124580021","https://openalex.org/W211718035","https://openalex.org/W4365460918","https://openalex.org/W3126142721","https://openalex.org/W3121672722","https://openalex.org/W2153002690"],"abstract_inverted_index":{"We":[0,89],"consider":[1],"a":[2,8,61],"dynamic":[3],"game":[4],"setting":[5],"in":[6,100],"which":[7],"large":[9],"population":[10],"of":[11,44,53,93,103,126,133],"strategic":[12],"individuals":[13,49,76],"decides":[14],"whether":[15],"to":[16,20,71,81,136],"adopt":[17],"protective":[18],"measures":[19],"protect":[21],"themselves":[22],"against":[23],"an":[24],"infectious":[25],"disease,":[26],"specifically":[27],"the":[28,42,51,55,69,83,91,108,122,127,131,137],"susceptible-infected-susceptible":[29],"(SIS)":[30],"epidemic.":[31],"Protection":[32],"is":[33],"costly":[34],"and":[35,38,50,96,105,111,124,130],"partially":[36],"effective,":[37],"adopting":[39],"protection":[40,134],"reduces":[41],"probability":[43,52],"becoming":[45],"infected":[46,58,128],"for":[47,57,115],"susceptible":[48],"transmitting":[54],"infection":[56],"individuals.":[59],"In":[60],"departure":[62],"from":[63],"most":[64],"prior":[65],"works":[66],"that":[67],"assume":[68],"decision-makers":[70],"be":[72],"myopic,":[73],"we":[74],"model":[75],"who":[77],"choose":[78],"their":[79],"actions":[80],"maximize":[82],"infinite":[84],"horizon":[85],"discounted":[86],"expected":[87],"reward.":[88],"define":[90],"notion":[92],"best":[94],"response":[95],"stationary":[97,112],"Nash":[98],"equilibrium":[99,109],"this":[101],"class":[102],"games,":[104],"completely":[106],"characterize":[107],"policy":[110,132],"state":[113],"distribution":[114],"different":[116],"parameter":[117],"regimes.":[118],"Numerical":[119],"results":[120],"illustrate":[121],"evolution":[123],"convergence":[125],"proportion":[129],"adoption":[135],"equilibrium.":[138]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
