{"id":"https://openalex.org/W3138301702","doi":"https://doi.org/10.3390/modelling2020009","title":"A Statistical Examination of Distinct Characteristics Influencing the Performance of Vector-Borne Epidemiological Agent-Based Simulation Models","display_name":"A Statistical Examination of Distinct Characteristics Influencing the Performance of Vector-Borne Epidemiological Agent-Based Simulation Models","publication_year":2021,"publication_date":"2021-03-24","ids":{"openalex":"https://openalex.org/W3138301702","doi":"https://doi.org/10.3390/modelling2020009","mag":"3138301702"},"language":"en","primary_location":{"id":"doi:10.3390/modelling2020009","doi":"https://doi.org/10.3390/modelling2020009","is_oa":true,"landing_page_url":"https://doi.org/10.3390/modelling2020009","pdf_url":"https://www.mdpi.com/2673-3951/2/2/9/pdf?version=1616645026","source":{"id":"https://openalex.org/S4210205587","display_name":"Modelling\u2014International Open Access Journal of Modelling in Engineering Science","issn_l":"2673-3951","issn":["2673-3951"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj"],"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Modelling","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2673-3951/2/2/9/pdf?version=1616645026","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5000337454","display_name":"Anna Paula Galv\u00e3o Scheidegger","orcid":"https://orcid.org/0000-0002-2498-8901","observed_orcids":["https://orcid.org/0000-0002-2498-8901"]},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Anna Paula Galv\u00e3o Scheidegger","raw_affiliation_strings":["Industrial and Systems Engineering, Texas A&M University, College Station, TX 77843, USA"],"raw_orcid":"https://orcid.org/0000-0002-2498-8901","affiliations":[{"raw_affiliation_string":"Industrial and Systems Engineering, Texas A&M University, College Station, TX 77843, USA","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064816451","display_name":"Henrique dos Santos Maxir","orcid":"https://orcid.org/0000-0002-7739-6635","observed_orcids":["https://orcid.org/0000-0002-7739-6635"]},"institutions":[{"id":"https://openalex.org/I17974374","display_name":"Universidade de S\u00e3o Paulo","ror":"https://ror.org/036rp1748","country_code":"BR","type":"education","lineage":["https://openalex.org/I17974374"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Henrique dos Santos Maxir","raw_affiliation_strings":["Departamento de Economia, Administra\u00e7\u00e3o e Sociologia, Escola Superior de Agricultura \u201cLuiz de Queiroz\u201d da Universidade de S\u00e3o Paulo, Piracicaba-SP 13418-900, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Departamento de Economia, Administra\u00e7\u00e3o e Sociologia, Escola Superior de Agricultura \u201cLuiz de Queiroz\u201d da Universidade de S\u00e3o Paulo, Piracicaba-SP 13418-900, Brazil","institution_ids":["https://openalex.org/I17974374"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072011217","display_name":"Amarnath Banerjee","orcid":"https://orcid.org/0000-0002-9814-0989","observed_orcids":["https://orcid.org/0000-0002-9814-0989"]},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Amarnath Banerjee","raw_affiliation_strings":["Industrial and Systems Engineering, Texas A&M University, College Station, TX 77843, USA"],"raw_orcid":"https://orcid.org/0000-0002-9814-0989","affiliations":[{"raw_affiliation_string":"Industrial and Systems Engineering, Texas A&M University, College Station, TX 77843, USA","institution_ids":["https://openalex.org/I91045830"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5000337454"],"corresponding_institution_ids":["https://openalex.org/I91045830"],"apc_list":{"value":1000,"currency":"CHF","value_usd":1080},"apc_paid":{"value":1000,"currency":"CHF","value_usd":1080},"fwci":0.2089,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.3167219,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":93},"biblio":{"volume":"2","issue":"2","first_page":"166","last_page":"196"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10482","display_name":"Mathematical and Theoretical Epidemiology and Ecology Models","score":0.9843999743461609,"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"}},"topics":[{"id":"https://openalex.org/T10482","display_name":"Mathematical and Theoretical Epidemiology and Ecology Models","score":0.9843999743461609,"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/T10410","display_name":"COVID-19 epidemiological studies","score":0.007600000128149986,"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/T11195","display_name":"Simulation Techniques and Applications","score":0.0013000000035390258,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/vector-borne-diseases","display_name":"vector-borne diseases","score":0.9710000157356262},{"id":"https://openalex.org/keywords/agent-based-modeling","display_name":"agent-based modeling","score":0.765999972820282},{"id":"https://openalex.org/keywords/human-behavior","display_name":"human behavior","score":0.7360000014305115},{"id":"https://openalex.org/keywords/data-quality","display_name":"data quality","score":0.9869999885559082},{"id":"https://openalex.org/keywords/compartmental-model","display_name":"compartmental model","score":0.8199999928474426},{"id":"https://openalex.org/keywords/epidemic-dynamics","display_name":"epidemic dynamics","score":0.6010000109672546},{"id":"https://openalex.org/keywords/epidemic-waves","display_name":"epidemic waves","score":0.859000027179718},{"id":"https://openalex.org/keywords/covid-19","display_name":"COVID-19 pandemic","score":0.7269999980926514},{"id":"https://openalex.org/keywords/model-assumptions","display_name":"model assumptions","score":0.5860000252723694},{"id":"https://openalex.org/keywords/decision-support","display_name":"decision support","score":0.5730000138282776}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.634596586227417},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6153343915939331},{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.4816090762615204},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.38081517815589905},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36751875281333923},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3113732933998108},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21856316924095154},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.09685122966766357},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/modelling2020009","doi":"https://doi.org/10.3390/modelling2020009","is_oa":true,"landing_page_url":"https://doi.org/10.3390/modelling2020009","pdf_url":"https://www.mdpi.com/2673-3951/2/2/9/pdf?version=1616645026","source":{"id":"https://openalex.org/S4210205587","display_name":"Modelling\u2014International Open Access Journal of Modelling in Engineering Science","issn_l":"2673-3951","issn":["2673-3951"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj"],"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Modelling","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:dce494d3b0514878a4186201847754b0","doi":null,"is_oa":true,"landing_page_url":"https://doaj.org/article/dce494d3b0514878a4186201847754b0","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Modelling, Vol 2, Iss 2, Pp 166-196 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/modelling2020009","doi":"https://doi.org/10.3390/modelling2020009","is_oa":true,"landing_page_url":"https://doi.org/10.3390/modelling2020009","pdf_url":"https://www.mdpi.com/2673-3951/2/2/9/pdf?version=1616645026","source":{"id":"https://openalex.org/S4210205587","display_name":"Modelling\u2014International Open Access Journal of Modelling in Engineering Science","issn_l":"2673-3951","issn":["2673-3951"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj"],"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Modelling","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.8371999859809875,"display_name":"Good health and well-being"}],"study_designs":[],"awards":[{"id":"https://openalex.org/G2621591706","display_name":null,"funder_award_id":"99999.012979/2013-09","funder_id":"https://openalex.org/F4320321091","funder_display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior"}],"funders":[{"id":"https://openalex.org/F4320321091","display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior","ror":"https://ror.org/00x0ma614"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3138301702.pdf","grobid_xml":"https://content.openalex.org/works/W3138301702.grobid-xml"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W2005437105","https://openalex.org/W2009827022","https://openalex.org/W2024754151","https://openalex.org/W2045117626","https://openalex.org/W2073305686","https://openalex.org/W2110311842","https://openalex.org/W2126848304","https://openalex.org/W2145408484","https://openalex.org/W2148301044","https://openalex.org/W2156236399","https://openalex.org/W2285065014","https://openalex.org/W2292760782","https://openalex.org/W2318685144","https://openalex.org/W2328304002","https://openalex.org/W2400791264","https://openalex.org/W2491951271","https://openalex.org/W2511118048","https://openalex.org/W2556703249","https://openalex.org/W2583747646","https://openalex.org/W2590078953","https://openalex.org/W2615170590","https://openalex.org/W2958944865","https://openalex.org/W3012817508","https://openalex.org/W3017171836","https://openalex.org/W3024746983","https://openalex.org/W3039509785","https://openalex.org/W3108139478","https://openalex.org/W4229849404","https://openalex.org/W4241654511"],"related_works":["https://openalex.org/W4229849404","https://openalex.org/W4404741412","https://openalex.org/W4402984489","https://openalex.org/W3216849484","https://openalex.org/W3133176212","https://openalex.org/W2733239919","https://openalex.org/W3042749670","https://openalex.org/W3180713248","https://openalex.org/W4400658853","https://openalex.org/W7007967060"],"abstract_inverted_index":{"The":[0,35],"spread":[1,57],"of":[2,31,44,187,199,203,208],"infectious":[3,76],"diseases":[4],"is":[5,23,120,132,150],"a":[6,24,123,188],"complex":[7,33],"system":[8],"in":[9,94,122,215,249,256,259],"which":[10],"pathogens,":[11],"humans,":[12],"the":[13,29,42,55,82,163,185,204,234,269],"environment,":[14],"and":[15,20,50,67,87,114,128,160,175,206,223,252],"sometimes":[16],"vectors":[17],"interact.":[18],"Mathematical":[19],"simulation":[21,46,169],"modelling":[22],"suitable":[25],"approach":[26],"to":[27,48,65,74,81,99,105,112,138,145,152,194,229,237,261],"investigate":[28],"dynamics":[30],"such":[32],"systems.":[34],"2019":[36],"novel":[37],"coronavirus":[38],"(COVID-19)":[39],"pandemic":[40],"reinforced":[41],"importance":[43],"agent-based":[45,168],"models":[47,107,141,258],"quickly":[49],"accurately":[51],"provide":[52],"information":[53,70,155],"about":[54],"disease":[56,77],"that":[58,108,227,266],"would":[59],"be":[60,72,247,253],"otherwise":[61],"hard":[62],"or":[63,126],"risky":[64],"obtain,":[66],"how":[68,154],"this":[69],"can":[71,267],"used":[73],"support":[75,147],"control":[78],"decisions.":[79],"Due":[80],"trade-offs":[83],"between":[84],"complexity,":[85],"time,":[86],"accuracy,":[88],"many":[89],"assumptions":[90,103],"are":[91,109],"frequently":[92],"made":[93],"epidemiological":[95,106,257],"models.":[96],"With":[97],"respect":[98,193],"vector-borne":[100],"diseases,":[101],"these":[102,140,244],"lead":[104,228],"usually":[110,133],"bounded":[111],"single-strain":[113],"single-vector":[115],"scenarios,":[116],"where":[117,129],"human":[118,157,220],"behavior":[119],"modeled":[121],"simplistic":[124],"manner":[125],"ignored,":[127],"data":[130,218],"quality":[131],"not":[134,241],"evaluated.":[135],"In":[136],"order":[137,260],"leverage":[139],"from":[142],"theoretical":[143],"tools":[144],"decision-making":[146,270],"tools,":[148],"it":[149],"important":[151],"understand":[153],"quality,":[156,219],"behavior,":[158,221],"multi-vector,":[159,222],"multi-strain":[161,224],"affect":[162],"results.":[164],"For":[165],"this,":[166],"an":[167],"model":[170,191],"with":[171,184,192],"different":[172,176,231],"parameter":[173],"values":[174],"scenarios":[177],"was":[178],"considered.":[179],"Its":[180],"results":[181,186,265],"were":[182,225,240],"compared":[183],"traditional":[189],"compartmental":[190],"three":[195],"outputs:":[196],"total":[197],"number":[198,207],"infected":[200],"individuals,":[201],"duration":[202],"epidemic,":[205],"epidemic":[209],"waves.":[210],"Paired":[211],"t-test":[212],"showed":[213],"that,":[214],"most":[216],"cases,":[217],"characteristics":[226,245],"statistically":[230],"results,":[232],"while":[233],"computational":[235],"costs":[236],"consider":[238],"them":[239],"high.":[242],"Therefore,":[243],"should":[246],"investigated":[248],"more":[250,263],"detail":[251],"accounted":[254],"for":[255],"obtain":[262],"reliable":[264],"assist":[268],"process":[271],"during":[272],"epidemics.":[273]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2021-03-29T00:00:00"}
