{"id":"https://openalex.org/W3149065728","doi":"https://doi.org/10.18038/estubtda.801006","title":"A NONLINEAR REGRESSION MODEL, ANALYSIS AND SIMULATIONS FOR THE SECOND WAVE OF COVID-19: THE CASE STUDY OF TURKEY","display_name":"A NONLINEAR REGRESSION MODEL, ANALYSIS AND SIMULATIONS FOR THE SECOND WAVE OF COVID-19: THE CASE STUDY OF TURKEY","publication_year":2021,"publication_date":"2021-03-26","ids":{"openalex":"https://openalex.org/W3149065728","doi":"https://doi.org/10.18038/estubtda.801006","mag":"3149065728"},"language":"en","primary_location":{"id":"doi:10.18038/estubtda.801006","doi":"https://doi.org/10.18038/estubtda.801006","is_oa":true,"landing_page_url":"https://doi.org/10.18038/estubtda.801006","pdf_url":"https://dergipark.org.tr/en/download/article-file/1313136","source":{"id":"https://openalex.org/S4210201049","display_name":"Eski\u015fehir Technical University Journal of Science and Technology A - Applied Sciences and Engineering","issn_l":"2667-4211","issn":["2667-4211"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":["tr-dizin"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Eski\u015fehir Technical University Journal of Science and Technology A - Applied Sciences and Engineering","raw_type":"journal-article"},"parent_works":[],"lineage":["https://openalex.org/W3149065728"],"child_works_count":0,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://dergipark.org.tr/en/download/article-file/1313136","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5001108773","display_name":"S\u0131la \u00d6vg\u00fc Korkut","orcid":"https://orcid.org/0000-0003-4784-2013","observed_orcids":["https://orcid.org/0000-0003-4784-2013"]},"institutions":[{"id":"https://openalex.org/I250383648","display_name":"Izmir K\u00e2tip \u00c7elebi University","ror":"https://ror.org/024nx4843","country_code":"TR","type":"education","lineage":["https://openalex.org/I250383648"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"S\u0131la \u00d6vg\u00fc KORKUT UYSAL","raw_affiliation_strings":["Izmir Katip Celebi University, Faculty of Architecture and Engineering"],"raw_orcid":"https://orcid.org/0000-0003-4784-2013","affiliations":[{"raw_affiliation_string":"Izmir Katip Celebi University, Faculty of Architecture and Engineering","institution_ids":["https://openalex.org/I250383648"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068656201","display_name":"Nurcan G\u00fcc\u00fcyenen","orcid":"https://orcid.org/0000-0001-8226-8315","observed_orcids":["https://orcid.org/0000-0001-8226-8315"]},"institutions":[{"id":"https://openalex.org/I129994210","display_name":"Do\u011fu\u015f University","ror":"https://ror.org/0272rjm42","country_code":"TR","type":"education","lineage":["https://openalex.org/I129994210"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Nurcan G\u00dcC\u00dcYENEN","raw_affiliation_strings":["DOGUS UNIVERSITY"],"raw_orcid":"https://orcid.org/0000-0001-8226-8315","affiliations":[{"raw_affiliation_string":"DOGUS UNIVERSITY","institution_ids":["https://openalex.org/I129994210"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054595385","display_name":"Ye\u015fim \u00c7\u0130\u00c7EK","orcid":"https://orcid.org/0000-0001-5438-4685","observed_orcids":["https://orcid.org/0000-0001-5438-4685"]},"institutions":[{"id":"https://openalex.org/I250383648","display_name":"Izmir K\u00e2tip \u00c7elebi University","ror":"https://ror.org/024nx4843","country_code":"TR","type":"education","lineage":["https://openalex.org/I250383648"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Ye\u015fim \u00c7\u0130\u00c7EK","raw_affiliation_strings":["IZMIR KATIP CELEBI UNIVERSITY"],"raw_orcid":"https://orcid.org/0000-0001-5438-4685","affiliations":[{"raw_affiliation_string":"IZMIR KATIP CELEBI UNIVERSITY","institution_ids":["https://openalex.org/I250383648"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0888,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.37343287,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":93},"biblio":{"volume":"22","issue":"1","first_page":"36","last_page":"44"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10410","display_name":"COVID-19 epidemiological studies","score":0.9994999766349792,"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":0.9994999766349792,"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":9.999999747378752e-05,"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/T13032","display_name":"COVID-19 Prevention and Impact","score":0.0,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/covid-19","display_name":"COVID-19 pandemic","score":0.996999979019165},{"id":"https://openalex.org/keywords/nonlinear-regression","display_name":"nonlinear regression","score":0.9369999766349792},{"id":"https://openalex.org/keywords/epidemic-modeling","display_name":"epidemic modeling","score":0.6230000257492065},{"id":"https://openalex.org/keywords/second-wave-of-covid-19","display_name":"second wave of COVID-19","score":0.8180000185966492},{"id":"https://openalex.org/keywords/turkey","display_name":"Turkey","score":0.6140000224113464},{"id":"https://openalex.org/keywords/time-series-forecasting","display_name":"time series forecasting","score":0.6240000128746033}],"concepts":[{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.6937866806983948},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.5742431879043579},{"id":"https://openalex.org/C89623803","wikidata":"https://www.wikidata.org/wiki/Q12184","display_name":"Pandemic","level":5,"score":0.5726562738418579},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.5590544939041138},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.5184594988822937},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4945842921733856},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.49352848529815674},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.4648605287075043},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.4636337459087372},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.42474237084388733},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.4034183621406555},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27709460258483887},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.16776493191719055},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.16006243228912354},{"id":"https://openalex.org/C524204448","wikidata":"https://www.wikidata.org/wiki/Q788926","display_name":"Infectious disease (medical specialty)","level":3,"score":0.08687347173690796},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C99454951","wikidata":"https://www.wikidata.org/wiki/Q932068","display_name":"Environmental health","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.18038/estubtda.801006","doi":"https://doi.org/10.18038/estubtda.801006","is_oa":true,"landing_page_url":"https://doi.org/10.18038/estubtda.801006","pdf_url":"https://dergipark.org.tr/en/download/article-file/1313136","source":{"id":"https://openalex.org/S4210201049","display_name":"Eski\u015fehir Technical University Journal of Science and Technology A - Applied Sciences and Engineering","issn_l":"2667-4211","issn":["2667-4211"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":["tr-dizin"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Eski\u015fehir Technical University Journal of Science and Technology A - Applied Sciences and Engineering","raw_type":"journal-article"},{"id":"pmh:oai:dergipark.org.tr:article/801006","doi":null,"is_oa":true,"landing_page_url":"https://dergipark.org.tr/tr/pub/estubtda/issue/60901/801006","pdf_url":null,"source":{"id":"https://openalex.org/S4210201049","display_name":"Eski\u015fehir Technical University Journal of Science and Technology A - Applied Sciences and Engineering","issn_l":"2667-4211","issn":["2667-4211"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":["tr-dizin"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.18038/estubtda.801006","doi":"https://doi.org/10.18038/estubtda.801006","is_oa":true,"landing_page_url":"https://doi.org/10.18038/estubtda.801006","pdf_url":"https://dergipark.org.tr/en/download/article-file/1313136","source":{"id":"https://openalex.org/S4210201049","display_name":"Eski\u015fehir Technical University Journal of Science and Technology A - Applied Sciences and Engineering","issn_l":"2667-4211","issn":["2667-4211"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":["tr-dizin"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Eski\u015fehir Technical University Journal of Science and Technology A - Applied Sciences and Engineering","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.7246000170707703,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3149065728.pdf","grobid_xml":"https://content.openalex.org/works/W3149065728.grobid-xml"},"referenced_works_count":11,"referenced_works":["https://openalex.org/W2962776089","https://openalex.org/W3011771926","https://openalex.org/W3017787557","https://openalex.org/W3026481086","https://openalex.org/W3030631368","https://openalex.org/W3033562259","https://openalex.org/W3036311656","https://openalex.org/W3037898693","https://openalex.org/W3045512664","https://openalex.org/W3118191862","https://openalex.org/W4205775575"],"related_works":["https://openalex.org/W3019060551","https://openalex.org/W7066569489","https://openalex.org/W7110526467","https://openalex.org/W3188395165","https://openalex.org/W4322747829","https://openalex.org/W4281743231","https://openalex.org/W3114624859","https://openalex.org/W3202724468","https://openalex.org/W3017300165","https://openalex.org/W3174827300"],"abstract_inverted_index":{"COVID-19":[0,178],"pandemic":[1],"disease":[2,20,86],"gained":[3],"major":[4],"attention":[5,23],"among":[6],"scientists":[7],"due":[8],"to":[9,27,36,59,72],"its":[10,173],"high":[11],"mortality/":[12],"infectiousness":[13],"rate.":[14],"Moreover,":[15,78],"the":[16,25,48,51,65,79,85,89,99,102,107,117,125,129,136,145,148,167,177],"analysis":[17,97,175],"of":[18,53,138,142],"this":[19,63],"requires":[21],"much":[22],"by":[24,94,98,106,135],"Government":[26],"take":[28],"precautions":[29],"and":[30,113],"construct":[31],"strategies.":[32],"This":[33,151],"study":[34,152],"aims":[35],"develop":[37],"a":[38,121],"new":[39],"nonlinear":[40,169],"model":[41,81,90,103,119,146,171],"for":[42,176],"COVID-19.":[43],"The":[44,111],"main":[45],"focus":[46],"is":[47,76,104,153,166],"time":[49,66],"when":[50,133],"number":[52],"daily":[54],"infected":[55],"individuals":[56],"has":[57,120],"begun":[58],"increase":[60],"constantly.":[61],"To":[62],"end,":[64],"series":[67],"from":[68],"1":[69],"August":[70],"2020":[71,75],"22":[73],"September":[74],"conducted.":[77],"proposed":[80,118],"takes":[82],"into":[83],"account":[84],"characteristics.":[87],"After":[88],"parameters":[91],"are":[92,140],"obtained":[93],"detailed":[95],"mathematical":[96,174],"trained":[100],"data,":[101],"validated":[105],"test/evaluation":[108],"data":[109],"set.":[110],"results":[112,161],"simulations":[114],"show":[115],"that":[116],"perfect":[122],"match":[123],"with":[124],"raw":[126,149],"data.":[127,150],"Furthermore,":[128],"calculated":[130],"standard":[131],"errors":[132],"compared":[134],"population":[137],"Turkey":[139],"evidence":[141],"how":[143],"well":[144],"fits":[147],"important":[154],"not":[155],"only":[156],"because":[157,164],"it":[158,165],"achieves":[159],"good":[160],"but":[162],"also":[163],"first":[168],"regression":[170],"including":[172],"pandemic.":[179]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-11-13T13:42:25.865203","created_date":"2021-04-13T00:00:00"}