{"id":"https://openalex.org/W7128795817","doi":"https://doi.org/10.48550/arxiv.2602.12102","title":"DEpiABS: Differentiable Epidemic Agent-Based Simulator","display_name":"DEpiABS: Differentiable Epidemic Agent-Based Simulator","publication_year":2026,"publication_date":"2026-02-12","ids":{"openalex":"https://openalex.org/W7128795817","doi":"https://doi.org/10.48550/arxiv.2602.12102"},"language":null,"primary_location":{"id":"pmh:doi:10.48550/arxiv.2602.12102","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","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":"repository"},"license":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5125903153","display_name":"Zhijian Gao","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Gao, Zhijian","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125952054","display_name":"Shuxin Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Shuxin","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5125888959","display_name":"Bo An","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"An, Bo","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5125903153"],"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":0.9703999757766724,"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":0.9703999757766724,"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":0.004600000102072954,"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/T12492","display_name":"Zoonotic diseases and public health","score":0.001500000013038516,"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/differentiable-function","display_name":"Differentiable function","score":0.6098999977111816},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.5422999858856201},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.47600001096725464},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.4625999927520752},{"id":"https://openalex.org/keywords/scaling","display_name":"Scaling","score":0.4065000116825104},{"id":"https://openalex.org/keywords/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.3962000012397766},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.39559999108314514},{"id":"https://openalex.org/keywords/pandemic","display_name":"Pandemic","score":0.35830000042915344}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6363000273704529},{"id":"https://openalex.org/C202615002","wikidata":"https://www.wikidata.org/wiki/Q783507","display_name":"Differentiable function","level":2,"score":0.6098999977111816},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.5422999858856201},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.47600001096725464},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.4625999927520752},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4088999927043915},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.4065000116825104},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.3962000012397766},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.39559999108314514},{"id":"https://openalex.org/C89623803","wikidata":"https://www.wikidata.org/wiki/Q12184","display_name":"Pandemic","level":5,"score":0.35830000042915344},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.3206999897956848},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.29670000076293945},{"id":"https://openalex.org/C3007834351","wikidata":"https://www.wikidata.org/wiki/Q82069695","display_name":"Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)","level":5,"score":0.2915000021457672},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.2799000144004822},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2743000090122223},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.2711000144481659},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.2678999900817871},{"id":"https://openalex.org/C108215451","wikidata":"https://www.wikidata.org/wiki/Q7263963","display_name":"Simulation modeling","level":2,"score":0.26269999146461487},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.25940001010894775},{"id":"https://openalex.org/C1627819","wikidata":"https://www.wikidata.org/wiki/Q2572354","display_name":"Epidemic model","level":3,"score":0.2574000060558319},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.25380000472068787},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.25}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:doi:10.48550/arxiv.2602.12102","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","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":"repository"},"license":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"doi:10.48550/arxiv.2602.12102","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.12102","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":"article"}],"best_oa_location":{"id":"pmh:doi:10.48550/arxiv.2602.12102","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","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":"repository"},"license":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.7946903705596924}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"The":[0,72],"COVID-19":[1,126,160],"pandemic":[2],"highlighted":[3],"the":[4,110,138,149],"limitations":[5],"of":[6,133],"existing":[7],"epidemic":[8,64,191],"simulation":[9,79],"tools.":[10],"These":[11],"tools":[12],"provide":[13],"information":[14],"that":[15,42,94],"guides":[16],"non-pharmaceutical":[17],"interventions":[18],"(NPIs),":[19],"yet":[20],"many":[21],"struggle":[22],"to":[23,98,125,137,157,166],"capture":[24],"complex":[25],"dynamics":[26],"while":[27,61],"remaining":[28],"computationally":[29],"practical":[30],"and":[31,48,58,69,80,123,127,146,163,186],"interpretable.":[32],"We":[33,117],"introduce":[34,89],"DEpiABS,":[35],"a":[36,90,183],"scalable,":[37],"differentiable":[38],"agent-based":[39],"model":[40,73],"(DABM)":[41],"balances":[43],"mechanistic":[44],"detail,":[45],"computational":[46,111],"efficiency":[47],"interpretability.":[49],"DEpiABS":[50,119,140,182],"captures":[51],"individual-level":[52],"heterogeneity":[53],"in":[54,106,153],"health":[55],"status,":[56],"behaviour,":[57],"resource":[59],"constraints,":[60],"also":[62],"modelling":[63,114],"processes":[65],"like":[66],"viral":[67],"mutation":[68],"reinfection":[70],"dynamics.":[71],"is":[74,141],"fully":[75,144],"differentiable,":[76],"enabling":[77],"fast":[78],"gradient-based":[81],"parameter":[82],"calibration.":[83],"Building":[84],"on":[85,159,168,178],"this":[86],"foundation,":[87],"we":[88],"z-score-based":[91],"scaling":[92],"method":[93],"maps":[95],"small-scale":[96],"simulations":[97],"any":[99],"real-world":[100],"population":[101],"sizes":[102],"with":[103],"negligible":[104],"loss":[105],"output":[107],"granularity,":[108],"reducing":[109],"burden":[112],"when":[113],"large":[115],"populations.":[116],"validate":[118],"through":[120],"sensitivity":[121],"analysis":[122],"calibration":[124],"flu":[128],"data":[129,162],"from":[130,155,164],"ten":[131],"regions":[132],"varying":[134],"scales.":[135],"Compared":[136],"baseline,":[139],"more":[142],"detailed,":[143],"interpretable,":[145],"has":[147],"reduced":[148],"average":[150],"normal":[151],"deviation":[152],"forecasting":[154],"0.97":[156],"0.92":[158],"mortality":[161],"0.41":[165],"0.32":[167],"influenza-like-illness":[169],"data.":[170],"Critically,":[171],"these":[172],"improvements":[173],"are":[174],"achieved":[175],"without":[176],"relying":[177],"auxiliary":[179],"data,":[180],"making":[181],"reliable,":[184],"generalisable,":[185],"data-efficient":[187],"framework":[188],"for":[189],"future":[190],"response":[192],"modelling.":[193]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2026-02-14T00:00:00"}
