{"id":"https://openalex.org/W7130534379","doi":"https://doi.org/10.1109/ictc66702.2025.11388447","title":"Comparative Analysis of Time Series Forecasting Methods for Dengue Fever in Thailand\u2019s EEC Zone","display_name":"Comparative Analysis of Time Series Forecasting Methods for Dengue Fever in Thailand\u2019s EEC Zone","publication_year":2025,"publication_date":"2025-10-14","ids":{"openalex":"https://openalex.org/W7130534379","doi":"https://doi.org/10.1109/ictc66702.2025.11388447"},"language":null,"primary_location":{"id":"doi:10.1109/ictc66702.2025.11388447","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ictc66702.2025.11388447","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 16th International Conference on Information and Communication Technology Convergence (ICTC)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5042494844","display_name":"Kittisak Onuean","orcid":null},"institutions":[{"id":"https://openalex.org/I129488602","display_name":"Burapha University","ror":"https://ror.org/01ff74m36","country_code":"TH","type":"education","lineage":["https://openalex.org/I129488602"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Kittisak Onuean","raw_affiliation_strings":["Burapha University,Faculty of Science and Social Sciences,Thailand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Burapha University,Faculty of Science and Social Sciences,Thailand","institution_ids":["https://openalex.org/I129488602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034655436","display_name":"Insung Ahn","orcid":"https://orcid.org/0000-0003-1171-1206"},"institutions":[{"id":"https://openalex.org/I878022262","display_name":"Korea Institute of Science & Technology Information","ror":"https://ror.org/01k4yrm29","country_code":"KR","type":"facility","lineage":["https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098","https://openalex.org/I878022262"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Insung Ahn","raw_affiliation_strings":["Korea Institute of Science and Technology Information,Daejeon,Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Korea Institute of Science and Technology Information,Daejeon,Republic of Korea","institution_ids":["https://openalex.org/I878022262"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024930519","display_name":"Thanin Methiyothin","orcid":null},"institutions":[{"id":"https://openalex.org/I129488602","display_name":"Burapha University","ror":"https://ror.org/01ff74m36","country_code":"TH","type":"education","lineage":["https://openalex.org/I129488602"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Thanin Methiyothin","raw_affiliation_strings":["Burapha University,Faculty of Informatics,Thailand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Burapha University,Faculty of Informatics,Thailand","institution_ids":["https://openalex.org/I129488602"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"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":"594","last_page":"599"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10166","display_name":"Mosquito-borne diseases and control","score":0.6607000231742859,"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"}},"topics":[{"id":"https://openalex.org/T10166","display_name":"Mosquito-borne diseases and control","score":0.6607000231742859,"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/T11819","display_name":"Data-Driven Disease Surveillance","score":0.09629999846220016,"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"}},{"id":"https://openalex.org/T10410","display_name":"COVID-19 epidemiological studies","score":0.031700000166893005,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/dengue-fever","display_name":"Dengue fever","score":0.8535000085830688},{"id":"https://openalex.org/keywords/autoregressive-integrated-moving-average","display_name":"Autoregressive integrated moving average","score":0.8194000124931335},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.6097999811172485},{"id":"https://openalex.org/keywords/outbreak","display_name":"Outbreak","score":0.5803999900817871},{"id":"https://openalex.org/keywords/preparedness","display_name":"Preparedness","score":0.5446000099182129},{"id":"https://openalex.org/keywords/public-health","display_name":"Public health","score":0.44130000472068787}],"concepts":[{"id":"https://openalex.org/C533803919","wikidata":"https://www.wikidata.org/wiki/Q30953","display_name":"Dengue fever","level":2,"score":0.8535000085830688},{"id":"https://openalex.org/C24338571","wikidata":"https://www.wikidata.org/wiki/Q2566298","display_name":"Autoregressive integrated moving average","level":3,"score":0.8194000124931335},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.6097999811172485},{"id":"https://openalex.org/C116675565","wikidata":"https://www.wikidata.org/wiki/Q3241045","display_name":"Outbreak","level":2,"score":0.5803999900817871},{"id":"https://openalex.org/C2777042776","wikidata":"https://www.wikidata.org/wiki/Q4583103","display_name":"Preparedness","level":2,"score":0.5446000099182129},{"id":"https://openalex.org/C138816342","wikidata":"https://www.wikidata.org/wiki/Q189603","display_name":"Public health","level":2,"score":0.44130000472068787},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.4194999933242798},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.37220001220703125},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.33329999446868896},{"id":"https://openalex.org/C2776361769","wikidata":"https://www.wikidata.org/wiki/Q821775","display_name":"Public health surveillance","level":3,"score":0.31859999895095825},{"id":"https://openalex.org/C99454951","wikidata":"https://www.wikidata.org/wiki/Q932068","display_name":"Environmental health","level":1,"score":0.31310001015663147},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.3075000047683716},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3050999939441681},{"id":"https://openalex.org/C2778048844","wikidata":"https://www.wikidata.org/wiki/Q12156","display_name":"Malaria","level":2,"score":0.28929999470710754},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.27880001068115234},{"id":"https://openalex.org/C2986587452","wikidata":"https://www.wikidata.org/wiki/Q938438","display_name":"Statistical analysis","level":2,"score":0.27489998936653137},{"id":"https://openalex.org/C163175372","wikidata":"https://www.wikidata.org/wiki/Q3339222","display_name":"Linear model","level":2,"score":0.25850000977516174}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ictc66702.2025.11388447","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ictc66702.2025.11388447","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 16th International Conference on Information and Communication Technology Convergence (ICTC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.7823008894920349,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322091","display_name":"Korea Institute of Science and Technology","ror":"https://ror.org/05kzfa883"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":1,"referenced_works":["https://openalex.org/W2143612262"],"related_works":[],"abstract_inverted_index":{"Dengue":[0],"fever":[1],"remains":[2],"a":[3,14,162],"persistent":[4],"public":[5],"health":[6,18],"challenge":[7],"in":[8,116,130],"Thailand,":[9],"with":[10,118,132,155],"recurring":[11],"outbreaks":[12],"placing":[13],"heavy":[15],"burden":[16],"on":[17],"systems.":[19],"The":[20,159],"Eastern":[21],"Economic":[22],"Corridor":[23],"(EEC),":[24],"comprising":[25],"Chachoengsao,":[26],"Chonburi,":[27],"and":[28,40,54,67,100,104,134,139,171,180],"Rayong":[29],"provinces,":[30],"is":[31,48,147],"particularly":[32],"vulnerable":[33],"due":[34],"to":[35,79,165],"rapid":[36],"urbanization,":[37],"industrial":[38],"growth,":[39],"dense":[41],"populations.":[42],"Accurate":[43],"forecasting":[44,61],"of":[45],"dengue":[46,74,170],"cases":[47],"therefore":[49],"critical":[50],"for":[51,169,183],"outbreak":[52],"preparedness":[53],"effective":[55],"interventions.":[56],"This":[57],"study":[58,160],"compares":[59],"two":[60],"approaches\u2014Autoregressive":[62],"Integrated":[63],"Moving":[64],"Average":[65],"(ARIMA)":[66],"Long":[68],"Short-Term":[69],"Memory":[70],"(LSTM)":[71],"neural":[72],"networks\u2014using":[73],"case":[75],"data":[76,94,157],"from":[77],"2012":[78],"2022":[80],"provided":[81],"by":[82],"the":[83,108],"ASEAN\u2013South":[84],"Korea":[85],"GFID":[86],"platform.":[87],"Model":[88],"performance":[89],"was":[90],"evaluated":[91],"under":[92],"different":[93],"partitions":[95],"using":[96],"MAE,":[97],"MSE,":[98],"RMSE,":[99],"MAPE":[101],"at":[102],"regional":[103],"provincial":[105],"levels":[106],"within":[107],"EEC.":[109],"Results":[110],"show":[111],"that":[112,143],"ARIMA":[113],"performs":[114],"better":[115],"provinces":[117,131],"stable,":[119],"linear":[120],"patterns,":[121],"such":[122],"as":[123],"Rayong,":[124],"while":[125],"LSTM":[126],"provides":[127,161],"greater":[128],"accuracy":[129],"volatile":[133],"nonlinear":[135],"trends,":[136],"including":[137],"Prachinburi":[138],"Chanthaburi.":[140],"Findings":[141],"indicate":[142],"no":[144],"single":[145],"model":[146,151],"universally":[148],"superior;":[149],"instead,":[150],"choice":[152],"should":[153],"align":[154],"local":[156],"characteristics.":[158],"comparative":[163],"framework":[164],"support":[166],"early-warning":[167],"systems":[168],"suggests":[172],"future":[173],"directions":[174],"involving":[175],"hybrid":[176],"models,":[177],"external":[178],"variables,":[179],"explainable":[181],"AI":[182],"real-time":[184],"epidemic":[185],"preparedness.":[186]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2026-02-20T00:00:00"}
