{"id":"https://openalex.org/W177965378","doi":null,"title":"Sensitivity Analysis and Uncertainty Analysis in a Large-scale Agent-based Simulation Model of Infectious Diseases","display_name":"Sensitivity Analysis and Uncertainty Analysis in a Large-scale Agent-based Simulation Model of Infectious Diseases","publication_year":2014,"publication_date":"2014-01-29","ids":{"openalex":"https://openalex.org/W177965378","mag":"177965378"},"language":"en","primary_location":{"id":"pmh:oai:d-scholarship.pitt.edu:20254","doi":null,"is_oa":true,"landing_page_url":"https://d-scholarship.pitt.edu/20254/1/ZhouXiaozhi_ETD_20131210.pdf","pdf_url":"http://d-scholarship.pitt.edu/20254/1/ZhouXiaozhi_ETD_20131210.pdf","source":{"id":"https://openalex.org/S4306402372","display_name":"D-Scholarship@Pitt (University of Pittsburgh)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I170201317","host_organization_name":"University of Pittsburgh","host_organization_lineage":["https://openalex.org/I170201317"],"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":"PeerReviewed"},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://d-scholarship.pitt.edu/20254/1/ZhouXiaozhi_ETD_20131210.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Xiaozhi Zhou","orcid":"https://orcid.org/0000-0001-7806-6112","observed_orcids":["https://orcid.org/0000-0001-7806-6112"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Xiaozhi Zhou","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0001-7806-6112","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7729,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.74909842,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":93},"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/T11195","display_name":"Simulation Techniques and Applications","score":0.6029999852180481,"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"}},"topics":[{"id":"https://openalex.org/T11195","display_name":"Simulation Techniques and Applications","score":0.6029999852180481,"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/T10482","display_name":"Mathematical and Theoretical Epidemiology and Ecology Models","score":0.26489999890327454,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"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":0.02070000022649765,"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/sensitivity-analysis","display_name":"sensitivity analysis","score":0.9240000247955322},{"id":"https://openalex.org/keywords/uncertainty-analysis","display_name":"uncertainty analysis","score":0.9980000257492065},{"id":"https://openalex.org/keywords/agent-based-modeling","display_name":"agent-based modeling","score":0.8379999995231628},{"id":"https://openalex.org/keywords/epidemic-modeling","display_name":"epidemic modeling","score":0.781000018119812},{"id":"https://openalex.org/keywords/influenza","display_name":"influenza","score":0.6179999709129333},{"id":"https://openalex.org/keywords/parameter-uncertainty","display_name":"parameter uncertainty","score":0.7089999914169312},{"id":"https://openalex.org/keywords/local-sensitivity-analysis","display_name":"local sensitivity analysis","score":0.9010000228881836},{"id":"https://openalex.org/keywords/probabilistic-sensitivity-analysis","display_name":"probabilistic sensitivity analysis","score":0.9710000157356262},{"id":"https://openalex.org/keywords/latin-hypercube-sampling","display_name":"Latin hypercube sampling","score":0.972000002861023},{"id":"https://openalex.org/keywords/cost-effectiveness","display_name":"cost-effectiveness","score":0.9779999852180481},{"id":"https://openalex.org/keywords/comparison-of-interventions","display_name":"intervention comparison","score":0.5559999942779541}],"concepts":[{"id":"https://openalex.org/C20820323","wikidata":"https://www.wikidata.org/wiki/Q6496514","display_name":"Latin hypercube sampling","level":3,"score":0.8140655755996704},{"id":"https://openalex.org/C177803969","wikidata":"https://www.wikidata.org/wiki/Q29205","display_name":"Uncertainty analysis","level":2,"score":0.768814206123352},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.758338451385498},{"id":"https://openalex.org/C176147448","wikidata":"https://www.wikidata.org/wiki/Q1889114","display_name":"Sensitivity analysis","level":3,"score":0.6037207841873169},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5793309211730957},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4817352592945099},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.45863497257232666},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4385261833667755},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.428803950548172},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.42297565937042236},{"id":"https://openalex.org/C32230216","wikidata":"https://www.wikidata.org/wiki/Q7882499","display_name":"Uncertainty quantification","level":2,"score":0.4110379219055176},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.26904869079589844},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2393781840801239},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.22967135906219482},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22462430596351624},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.19974055886268616},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.15039679408073425},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12387767434120178},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:d-scholarship.pitt.edu:20254","doi":null,"is_oa":true,"landing_page_url":"https://d-scholarship.pitt.edu/20254/1/ZhouXiaozhi_ETD_20131210.pdf","pdf_url":"http://d-scholarship.pitt.edu/20254/1/ZhouXiaozhi_ETD_20131210.pdf","source":{"id":"https://openalex.org/S4306402372","display_name":"D-Scholarship@Pitt (University of Pittsburgh)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I170201317","host_organization_name":"University of Pittsburgh","host_organization_lineage":["https://openalex.org/I170201317"],"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":"PeerReviewed"},{"id":"mag:177965378","doi":null,"is_oa":false,"landing_page_url":"http://d-scholarship.pitt.edu/20254/1/ZhouXiaozhi_ETD_20131210.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:d-scholarship.pitt.edu:20254","doi":null,"is_oa":true,"landing_page_url":"https://d-scholarship.pitt.edu/20254/1/ZhouXiaozhi_ETD_20131210.pdf","pdf_url":"http://d-scholarship.pitt.edu/20254/1/ZhouXiaozhi_ETD_20131210.pdf","source":{"id":"https://openalex.org/S4306402372","display_name":"D-Scholarship@Pitt (University of Pittsburgh)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I170201317","host_organization_name":"University of Pittsburgh","host_organization_lineage":["https://openalex.org/I170201317"],"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":"PeerReviewed"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W177965378.pdf","grobid_xml":"https://content.openalex.org/works/W177965378.grobid-xml"},"referenced_works_count":80,"referenced_works":["https://openalex.org/W597158322","https://openalex.org/W1540493738","https://openalex.org/W1590965948","https://openalex.org/W1723055120","https://openalex.org/W1849361375","https://openalex.org/W1965976231","https://openalex.org/W1970695732","https://openalex.org/W1973948212","https://openalex.org/W1979236986","https://openalex.org/W1981274325","https://openalex.org/W1985861338","https://openalex.org/W1987750593","https://openalex.org/W1989314580","https://openalex.org/W1991392461","https://openalex.org/W1994172949","https://openalex.org/W1995395876","https://openalex.org/W1998725525","https://openalex.org/W1998985037","https://openalex.org/W2000722602","https://openalex.org/W2002944058","https://openalex.org/W2005399275","https://openalex.org/W2008632830","https://openalex.org/W2011444608","https://openalex.org/W2013627456","https://openalex.org/W2015240834","https://openalex.org/W2015477527","https://openalex.org/W2016900314","https://openalex.org/W2017719779","https://openalex.org/W2019246683","https://openalex.org/W2026864810","https://openalex.org/W2034076137","https://openalex.org/W2038669746","https://openalex.org/W2039008735","https://openalex.org/W2041652193","https://openalex.org/W2043009046","https://openalex.org/W2045040775","https://openalex.org/W2049343097","https://openalex.org/W2059129666","https://openalex.org/W2076801184","https://openalex.org/W2078744849","https://openalex.org/W2078796473","https://openalex.org/W2079779136","https://openalex.org/W2086678411","https://openalex.org/W2086689614","https://openalex.org/W2086811464","https://openalex.org/W2088610686","https://openalex.org/W2091934641","https://openalex.org/W2092196248","https://openalex.org/W2097441841","https://openalex.org/W2101110089","https://openalex.org/W2101311852","https://openalex.org/W2101618469","https://openalex.org/W2107324390","https://openalex.org/W2115546337","https://openalex.org/W2118906894","https://openalex.org/W2119950877","https://openalex.org/W2120470619","https://openalex.org/W2121157266","https://openalex.org/W2125263731","https://openalex.org/W2131500287","https://openalex.org/W2138766682","https://openalex.org/W2145230724","https://openalex.org/W2148497558","https://openalex.org/W2149419826","https://openalex.org/W2152803686","https://openalex.org/W2155273568","https://openalex.org/W2155528202","https://openalex.org/W2158963070","https://openalex.org/W2159301256","https://openalex.org/W2164127796","https://openalex.org/W2165156762","https://openalex.org/W2166022262","https://openalex.org/W2169180983","https://openalex.org/W2315592954","https://openalex.org/W2315861356","https://openalex.org/W2319319235","https://openalex.org/W2326216123","https://openalex.org/W2527387325","https://openalex.org/W2995161752","https://openalex.org/W3203680921"],"related_works":["https://openalex.org/W7009960994","https://openalex.org/W2991179912","https://openalex.org/W2057119064","https://openalex.org/W7096677504","https://openalex.org/W3199055017","https://openalex.org/W3150627902","https://openalex.org/W2092509730","https://openalex.org/W6996547178","https://openalex.org/W1985675778","https://openalex.org/W3212624518"],"abstract_inverted_index":{"The":[0,124,280],"purpose":[1],"of":[2,24,32,48,52,65,94,104,127,175,218,234,246,254,296],"this":[3,258,288,307],"study":[4,129,229,289,308],"is":[5,38,76,269,319],"to":[6,117,131,138,155,203,271,293,311],"develop":[7,133,150],"appropriate":[8],"statistical":[9,240],"methods":[10,281],"and":[11,18,55,61,71,91,97,109,136,153,193,197,239,282],"procedures":[12,135,152,182,202,283],"for":[13,19,79,101,114,183,207,249,263,315,329,346],"dealing":[14],"with":[15],"parameter":[16],"uncertainty":[17,81,110,120,200,220,237],"improving":[20],"the":[21,49,63,69,95,99,102,105,119,122,128,144,161,172,205,216,219,223,231,252,260,274,300,337],"computational":[22,41,173],"efficiency":[23,174],"sensitivity":[25,158,168,176,185,235,278],"analysis":[26,75,108,111,177,186,201,221,238,241],"in":[27,82,121,143,160,187,222,242,251,287],"a":[28,39,66,77,83,320],"large-scale":[29],"agent-based":[30,36,115,146,163,188,225],"model":[31,37,43,85,96,116,165,268],"infectious":[33,255],"disease.":[34,256],"An":[35],"rule-based":[40],"simulation":[42,247,275],"that":[44,284],"can":[45,290,340],"keep":[46],"track":[47],"dynamical":[50],"activities":[51],"all":[53,273,294],"agents":[54],"their":[56],"interactions":[57],"within":[58],"an":[59],"environment":[60],"analyze":[62,118],"course":[64],"disease":[67,297],"through":[68],"population":[70],"evaluate":[72,204],"interventions.":[73],"Sensitivity":[74,107],"method":[78],"quantifying":[80,98],"complex":[84],"by":[86,178],"systematically":[87],"changing":[88],"inputs":[89],"(parameters":[90],"initial":[92],"conditions)":[93],"consequences":[100],"output":[103],"model.":[106,123,227],"are":[112,130,285],"used":[113,270],"specific":[125,134,151],"aims":[126],"(1)":[132],"criteria":[137,154],"determine":[139,156],"important":[140,232,327],"input":[141],"parameters":[142,159],"FRED":[145,162,224,261,301,338],"influenza":[147,164,226,267],"model;":[148],"(2)":[149],"high":[157],"via":[166],"local":[167],"analysis;":[169],"(3)":[170],"improve":[171],"comparing":[179],"two":[180],"sampling":[181,192],"probabilistic":[184],"models:":[189],"simple":[190],"random":[191],"Latin":[194],"Hypercube":[195],"sampling;":[196],"(4)":[198],"apply":[199],"cost-effectiveness":[206],"different":[208],"school":[209],"closure":[210],"intervention":[211,343],"strategies":[212],"as":[213,215],"well":[214],"reliability":[217],"This":[228],"emphasizes":[230],"role":[233],"analysis,":[236],"making":[243],"better":[244],"use":[245],"results":[248,276,345],"decision-making":[250,316],"control":[253],"In":[257,303],"study,":[259],"(Framework":[262],"Replicating":[264],"Epidemic":[265],"Dynamics)":[266],"produce":[272],"from":[277],"analysis.":[279],"developed":[286],"be":[291],"generalized":[292],"kinds":[295],"models":[298],"under":[299],"framework.":[302],"public":[304,321,330],"health":[305,322,331],"practice,":[306],"will":[309],"help":[310],"provide":[312,341],"timely":[313],"responses":[314],"when":[317],"there":[318],"crisis.":[323],"It":[324],"also":[325],"provides":[326],"information":[328],"policy":[332],"makers":[333],"about":[334],"how":[335],"certainly":[336],"framework":[339],"reliable":[342],"comparison":[344],"decision-making.":[347]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-10-27T15:51:10.671819","created_date":"2016-06-24T00:00:00"}