{"id":"https://openalex.org/W4399311162","doi":"https://doi.org/10.1109/mprv.2023.3329546","title":"EpiCURB: Learning to Derive Epidemic Control Policies","display_name":"EpiCURB: Learning to Derive Epidemic Control Policies","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4399311162","doi":"https://doi.org/10.1109/mprv.2023.3329546"},"language":"en","primary_location":{"id":"doi:10.1109/mprv.2023.3329546","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mprv.2023.3329546","pdf_url":null,"source":{"id":"https://openalex.org/S24191132","display_name":"IEEE Pervasive Computing","issn_l":"1536-1268","issn":["1536-1268","1558-2590"],"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 Pervasive Computing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://eprints.soton.ac.uk/484685/1/EpiCURB_Accepted_IEEEPervasiveComputing.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5095037509","display_name":"Andrei Rusu","orcid":"https://orcid.org/0000-0002-6053-1685"},"institutions":[{"id":"https://openalex.org/I43439940","display_name":"University of Southampton","ror":"https://ror.org/01ryk1543","country_code":"GB","type":"education","lineage":["https://openalex.org/I43439940"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Andrei C. Rusu","raw_affiliation_strings":["University of Southampton, Southampton, U.K"],"affiliations":[{"raw_affiliation_string":"University of Southampton, Southampton, U.K","institution_ids":["https://openalex.org/I43439940"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077531047","display_name":"Katayoun Farrahi","orcid":"https://orcid.org/0000-0001-6775-127X"},"institutions":[{"id":"https://openalex.org/I43439940","display_name":"University of Southampton","ror":"https://ror.org/01ryk1543","country_code":"GB","type":"education","lineage":["https://openalex.org/I43439940"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Katayoun Farrahi","raw_affiliation_strings":["University of Southampton, Southampton, U.K"],"affiliations":[{"raw_affiliation_string":"University of Southampton, Southampton, U.K","institution_ids":["https://openalex.org/I43439940"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033579333","display_name":"Mahesan Niranjan","orcid":"https://orcid.org/0000-0001-7021-140X"},"institutions":[{"id":"https://openalex.org/I43439940","display_name":"University of Southampton","ror":"https://ror.org/01ryk1543","country_code":"GB","type":"education","lineage":["https://openalex.org/I43439940"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Mahesan Niranjan","raw_affiliation_strings":["University of Southampton, Southampton, U.K"],"affiliations":[{"raw_affiliation_string":"University of Southampton, Southampton, U.K","institution_ids":["https://openalex.org/I43439940"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5095037509"],"corresponding_institution_ids":["https://openalex.org/I43439940"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08653762,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"23","issue":"1","first_page":"57","last_page":"62"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10410","display_name":"COVID-19 epidemiological studies","score":0.996999979019165,"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":0.996999979019165,"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":0.9682999849319458,"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"}},{"id":"https://openalex.org/T11819","display_name":"Data-Driven Disease Surveillance","score":0.9280999898910522,"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/reinforcement-learning","display_name":"Reinforcement learning","score":0.7967336177825928},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7353564500808716},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.6040096282958984},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.5889489054679871},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.584769606590271},{"id":"https://openalex.org/keywords/psychological-intervention","display_name":"Psychological intervention","score":0.5821463465690613},{"id":"https://openalex.org/keywords/epidemic-control","display_name":"Epidemic control","score":0.5616024732589722},{"id":"https://openalex.org/keywords/intervention","display_name":"Intervention (counseling)","score":0.516792893409729},{"id":"https://openalex.org/keywords/outcome","display_name":"Outcome (game theory)","score":0.48905810713768005},{"id":"https://openalex.org/keywords/public-health-interventions","display_name":"Public health interventions","score":0.4226021468639374},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38095414638519287},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3516945540904999},{"id":"https://openalex.org/keywords/risk-analysis","display_name":"Risk analysis (engineering)","score":0.3231143355369568},{"id":"https://openalex.org/keywords/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.14902767539024353},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.1172921359539032},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.11375117301940918},{"id":"https://openalex.org/keywords/microeconomics","display_name":"Microeconomics","score":0.09632980823516846},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08668956160545349},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.07862964272499084}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7967336177825928},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7353564500808716},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.6040096282958984},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.5889489054679871},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.584769606590271},{"id":"https://openalex.org/C27415008","wikidata":"https://www.wikidata.org/wiki/Q7256382","display_name":"Psychological intervention","level":2,"score":0.5821463465690613},{"id":"https://openalex.org/C3017689999","wikidata":"https://www.wikidata.org/wiki/Q106040803","display_name":"Epidemic control","level":5,"score":0.5616024732589722},{"id":"https://openalex.org/C2780665704","wikidata":"https://www.wikidata.org/wiki/Q959298","display_name":"Intervention (counseling)","level":2,"score":0.516792893409729},{"id":"https://openalex.org/C148220186","wikidata":"https://www.wikidata.org/wiki/Q7111912","display_name":"Outcome (game theory)","level":2,"score":0.48905810713768005},{"id":"https://openalex.org/C2994107952","wikidata":"https://www.wikidata.org/wiki/Q1814351","display_name":"Public health interventions","level":3,"score":0.4226021468639374},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38095414638519287},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3516945540904999},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.3231143355369568},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.14902767539024353},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.1172921359539032},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.11375117301940918},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.09632980823516846},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08668956160545349},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.07862964272499084},{"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/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/mprv.2023.3329546","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mprv.2023.3329546","pdf_url":null,"source":{"id":"https://openalex.org/S24191132","display_name":"IEEE Pervasive Computing","issn_l":"1536-1268","issn":["1536-1268","1558-2590"],"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 Pervasive Computing","raw_type":"journal-article"},{"id":"pmh:oai:eprints.soton.ac.uk:484685","is_oa":true,"landing_page_url":"http://doi.org/10.1109/MPRV.2023.3329546>).","pdf_url":"https://eprints.soton.ac.uk/484685/1/EpiCURB_Accepted_IEEEPervasiveComputing.pdf","source":{"id":"https://openalex.org/S4306401019","display_name":"ePrints Soton (University of Southampton)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I43439940","host_organization_name":"University of Southampton","host_organization_lineage":["https://openalex.org/I43439940"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"NonPeerReviewed"}],"best_oa_location":{"id":"pmh:oai:eprints.soton.ac.uk:484685","is_oa":true,"landing_page_url":"http://doi.org/10.1109/MPRV.2023.3329546>).","pdf_url":"https://eprints.soton.ac.uk/484685/1/EpiCURB_Accepted_IEEEPervasiveComputing.pdf","source":{"id":"https://openalex.org/S4306401019","display_name":"ePrints Soton (University of Southampton)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I43439940","host_organization_name":"University of Southampton","host_organization_lineage":["https://openalex.org/I43439940"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"NonPeerReviewed"},"sustainable_development_goals":[{"score":0.8299999833106995,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320277","display_name":"University of Southampton","ror":"https://ror.org/01ryk1543"},{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4399311162.pdf"},"referenced_works_count":21,"referenced_works":["https://openalex.org/W1983275606","https://openalex.org/W1992120983","https://openalex.org/W3013215798","https://openalex.org/W3023441241","https://openalex.org/W3032971139","https://openalex.org/W3038429793","https://openalex.org/W3042333985","https://openalex.org/W3049408336","https://openalex.org/W3066099940","https://openalex.org/W3092033692","https://openalex.org/W3093520399","https://openalex.org/W3114268739","https://openalex.org/W3128450518","https://openalex.org/W3138883254","https://openalex.org/W3213813884","https://openalex.org/W4283167029","https://openalex.org/W4318477335","https://openalex.org/W4380202820","https://openalex.org/W6777548552","https://openalex.org/W6797086680","https://openalex.org/W7036965348"],"related_works":["https://openalex.org/W2978999882","https://openalex.org/W4306904969","https://openalex.org/W2138720691","https://openalex.org/W4362501864","https://openalex.org/W4380318855","https://openalex.org/W2031695474","https://openalex.org/W4387423575","https://openalex.org/W2972585035","https://openalex.org/W3135325062","https://openalex.org/W3009876049"],"abstract_inverted_index":{"The":[0],"effectiveness":[1],"of":[2,36,64],"an":[3],"epidemic":[4,72],"control":[5],"policy":[6],"relies":[7],"largely":[8],"on":[9,70],"how":[10,45],"much":[11],"effort":[12],"is":[13,22],"invested":[14],"in":[15],"every":[16],"public":[17],"health":[18],"measure.":[19],"Unfortunately,":[20],"it":[21],"seldom":[23],"possible":[24],"to":[25,29,60],"optimally":[26],"allocate":[27],"funds":[28],"these":[30],"measures":[31],"if":[32],"the":[33,62,71,75],"isolated":[34],"effect":[35,63],"each":[37],"intervention":[38],"cannot":[39],"be":[40,49],"reliably":[41],"estimated.":[42],"We":[43],"show":[44],"this":[46],"challenge":[47],"can":[48],"overcome":[50],"by":[51,79],"utilizing":[52],"EpiCURB,":[53],"a":[54],"simulation-control":[55],"framework":[56],"that":[57,83],"enables":[58],"us":[59],"measure":[61],"both":[65],"untargeted":[66],"and":[67],"prioritized":[68],"interventions":[69],"outcome,":[73],"where":[74],"latter":[76],"are":[77],"guided":[78],"reinforcement":[80],"learning":[81],"routines":[82],"effectively":[84],"rank":[85],"eligible":[86],"individuals.":[87]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}