{"id":"https://openalex.org/W7165961896","doi":"https://doi.org/10.48550/arxiv.2606.25835","title":"Multi-fidelity methods for kinetic models of epidemic dynamics with uncertain contact structure","display_name":"Multi-fidelity methods for kinetic models of epidemic dynamics with uncertain contact structure","publication_year":2026,"publication_date":"2026-06-24","ids":{"openalex":"https://openalex.org/W7165961896","doi":"https://doi.org/10.48550/arxiv.2606.25835"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.25835","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.25835","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2606.25835","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5139362726","display_name":"Liu Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Liu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065712626","display_name":"Andrea Medaglia","orcid":"https://orcid.org/0000-0002-6086-5765"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Medaglia, Andrea","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102857796","display_name":"Hao Xie","orcid":"https://orcid.org/0009-0001-2205-4603"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xie, Hao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5139364778","display_name":"Mattia Zanella","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zanella, Mattia","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10410","display_name":"COVID-19 epidemiological studies","score":0.7972000241279602,"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":0.7972000241279602,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.05810000002384186,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"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":0.03799999877810478,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/observable","display_name":"Observable","score":0.7063999772071838},{"id":"https://openalex.org/keywords/hierarchy","display_name":"Hierarchy","score":0.64410001039505},{"id":"https://openalex.org/keywords/kinetic-energy","display_name":"Kinetic energy","score":0.5436000227928162},{"id":"https://openalex.org/keywords/closure","display_name":"Closure (psychology)","score":0.4442000091075897},{"id":"https://openalex.org/keywords/contact-dynamics","display_name":"Contact dynamics","score":0.39559999108314514},{"id":"https://openalex.org/keywords/dynamics","display_name":"Dynamics (music)","score":0.3481999933719635}],"concepts":[{"id":"https://openalex.org/C32848918","wikidata":"https://www.wikidata.org/wiki/Q845789","display_name":"Observable","level":2,"score":0.7063999772071838},{"id":"https://openalex.org/C31170391","wikidata":"https://www.wikidata.org/wiki/Q188619","display_name":"Hierarchy","level":2,"score":0.64410001039505},{"id":"https://openalex.org/C121864883","wikidata":"https://www.wikidata.org/wiki/Q677916","display_name":"Statistical physics","level":1,"score":0.6381000280380249},{"id":"https://openalex.org/C135889238","wikidata":"https://www.wikidata.org/wiki/Q46276","display_name":"Kinetic energy","level":2,"score":0.5436000227928162},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.45680001378059387},{"id":"https://openalex.org/C146834321","wikidata":"https://www.wikidata.org/wiki/Q2979672","display_name":"Closure (psychology)","level":2,"score":0.4442000091075897},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.40139999985694885},{"id":"https://openalex.org/C2778931886","wikidata":"https://www.wikidata.org/wiki/Q5164827","display_name":"Contact dynamics","level":2,"score":0.39559999108314514},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.35519999265670776},{"id":"https://openalex.org/C145912823","wikidata":"https://www.wikidata.org/wiki/Q113558","display_name":"Dynamics (music)","level":2,"score":0.3481999933719635},{"id":"https://openalex.org/C8272713","wikidata":"https://www.wikidata.org/wiki/Q176737","display_name":"Stochastic process","level":2,"score":0.3212999999523163},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3174000084400177},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.29910001158714294},{"id":"https://openalex.org/C127491075","wikidata":"https://www.wikidata.org/wiki/Q7617825","display_name":"Stochastic modelling","level":2,"score":0.2827000021934509},{"id":"https://openalex.org/C2984125019","wikidata":"https://www.wikidata.org/wiki/Q176737","display_name":"Stochastic dynamics","level":2,"score":0.2734000086784363},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.27129998803138733},{"id":"https://openalex.org/C76969082","wikidata":"https://www.wikidata.org/wiki/Q486902","display_name":"Mathematical model","level":2,"score":0.2703999876976013},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.26159998774528503}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.25835","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.25835","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2606.25835","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.25835","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"score":0.7646252512931824,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"In":[0],"this":[1],"work,":[2],"we":[3],"develop":[4],"a":[5,64,83],"multi-fidelity":[6],"strategy":[7],"for":[8,31],"kinetic":[9,61,75],"models":[10,30,72],"in":[11,80,113],"epidemiology":[12],"with":[13,63,128],"uncertain":[14,54],"contact":[15,24,37],"dynamics.":[16],"Assessing":[17],"and":[18,73,95],"controlling":[19],"the":[20,27],"population-level":[21],"effects":[22,34],"of":[23,29,35,66,122],"dynamics":[25],"requires":[26],"development":[28],"understanding":[32],"observable":[33],"heterogeneous":[36],"structures,":[38],"whose":[39],"formation":[40],"depends":[41],"on":[42],"complex":[43],"social":[44],"phenomena.":[45],"These":[46],"can":[47,125],"be":[48,126],"captured":[49],"taking":[50],"into":[51],"account":[52],"high-dimensional":[53,114],"quantities.":[55],"The":[56],"proposed":[57],"approach":[58],"combines":[59],"high-fidelity":[60],"solvers":[62],"hierarchy":[65],"low-fidelity":[67],"surrogates,":[68],"including":[69],"reduced":[70,130],"macroscopic":[71,84],"coarse":[74],"descriptions,":[76],"remaining":[77],"applicable":[78],"even":[79],"regimes":[81],"where":[82],"closure":[85],"is":[86],"unavailable.":[87],"This":[88],"hierarchical":[89],"framework":[90],"identifies":[91],"representative":[92],"parameter":[93],"samples":[94],"reconstructs":[96],"full":[97],"solutions":[98],"via":[99],"projection-based":[100],"techniques,":[101],"enabling":[102],"efficient":[103],"uncertainty":[104],"propagation":[105],"while":[106],"drastically":[107],"reducing":[108],"computational":[109,131],"cost.":[110],"Numerical":[111],"experiments":[112],"stochastic":[115],"settings":[116],"demonstrate":[117],"that":[118],"accurate":[119],"statistical":[120],"estimates":[121],"epidemic":[123],"observables":[124],"obtained":[127],"significantly":[129],"costs":[132],"compared":[133],"to":[134],"standard":[135],"approaches.":[136]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-06-26T00:00:00"}
