{"id":"https://openalex.org/W4391229637","doi":"https://doi.org/10.3233/shti231086","title":"Assessing Internet Search Models in Predicting Daily New COVID-19 Cases and Deaths in South Korea","display_name":"Assessing Internet Search Models in Predicting Daily New COVID-19 Cases and Deaths in South Korea","publication_year":2024,"publication_date":"2024-01-25","ids":{"openalex":"https://openalex.org/W4391229637","doi":"https://doi.org/10.3233/shti231086","pmid":"https://pubmed.ncbi.nlm.nih.gov/38269930"},"language":"en","primary_location":{"id":"doi:10.3233/shti231086","is_oa":true,"landing_page_url":"https://doi.org/10.3233/shti231086","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/SHTI231086","source":{"id":"https://openalex.org/S4210179765","display_name":"Studies in health technology and informatics","issn_l":"0926-9630","issn":["0926-9630","1879-8365"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"book series"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Studies in Health Technology and Informatics","raw_type":"book-chapter"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/SHTI231086","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5025442322","display_name":"Atina Husnayain","orcid":"https://orcid.org/0000-0003-3002-8728"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Atina Husnayain","raw_affiliation_strings":["Public Health Department, Monash University Indonesia, Banten, Indonesia"],"raw_orcid":"https://orcid.org/0000-0003-3002-8728","affiliations":[{"raw_affiliation_string":"Public Health Department, Monash University Indonesia, Banten, Indonesia","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081102186","display_name":"Emily Chia\u2010Yu Su","orcid":"https://orcid.org/0000-0003-4801-5159"},"institutions":[{"id":"https://openalex.org/I47519274","display_name":"Taipei Medical University","ror":"https://ror.org/05031qk94","country_code":"TW","type":"education","lineage":["https://openalex.org/I47519274"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Emily Chia-Yu Su","raw_affiliation_strings":["Graduate Institute of Biomedical Informatics, Taipei Medical University, Taipei, Taiwan"],"raw_orcid":"https://orcid.org/0000-0003-4801-5159","affiliations":[{"raw_affiliation_string":"Graduate Institute of Biomedical Informatics, Taipei Medical University, Taipei, Taiwan","institution_ids":["https://openalex.org/I47519274"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5025442322"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.03021148,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"310","issue":null,"first_page":"855","last_page":"859"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10410","display_name":"COVID-19 epidemiological studies","score":0.9995999932289124,"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":0.9995999932289124,"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/T11819","display_name":"Data-Driven Disease Surveillance","score":0.9984999895095825,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9923999905586243,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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/interpretability","display_name":"Interpretability","score":0.8900496959686279},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.7917226552963257},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.6978741884231567},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.5187187790870667},{"id":"https://openalex.org/keywords/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.5051403641700745},{"id":"https://openalex.org/keywords/linear-regression","display_name":"Linear regression","score":0.48015207052230835},{"id":"https://openalex.org/keywords/predictive-modelling","display_name":"Predictive modelling","score":0.4656817317008972},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.45264366269111633},{"id":"https://openalex.org/keywords/linear-model","display_name":"Linear model","score":0.4181065261363983},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3890400230884552},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3765120804309845},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.357163667678833},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2476445436477661},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.13861918449401855}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.8900496959686279},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.7917226552963257},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.6978741884231567},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.5187187790870667},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.5051403641700745},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.48015207052230835},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.4656817317008972},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.45264366269111633},{"id":"https://openalex.org/C163175372","wikidata":"https://www.wikidata.org/wiki/Q3339222","display_name":"Linear model","level":2,"score":0.4181065261363983},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3890400230884552},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3765120804309845},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.357163667678833},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2476445436477661},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.13861918449401855},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C524204448","wikidata":"https://www.wikidata.org/wiki/Q788926","display_name":"Infectious disease (medical specialty)","level":3,"score":0.0},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.0}],"mesh":[{"descriptor_ui":"D000086382","descriptor_name":"COVID-19","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000086382","descriptor_name":"COVID-19","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000086382","descriptor_name":"COVID-19","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016014","descriptor_name":"Linear Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016014","descriptor_name":"Linear Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016014","descriptor_name":"Linear Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D020407","descriptor_name":"Internet","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D020407","descriptor_name":"Internet","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D020407","descriptor_name":"Internet","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D056910","descriptor_name":"Republic of Korea","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":false},{"descriptor_ui":"D056910","descriptor_name":"Republic of Korea","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":false},{"descriptor_ui":"D056910","descriptor_name":"Republic of Korea","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":false}],"locations_count":4,"locations":[{"id":"doi:10.3233/shti231086","is_oa":true,"landing_page_url":"https://doi.org/10.3233/shti231086","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/SHTI231086","source":{"id":"https://openalex.org/S4210179765","display_name":"Studies in health technology and informatics","issn_l":"0926-9630","issn":["0926-9630","1879-8365"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"book series"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Studies in Health Technology and Informatics","raw_type":"book-chapter"},{"id":"pmid:38269930","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38269930","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Studies in health technology and informatics","raw_type":null},{"id":"pmh:oai:monash.edu:openaire/533ceacc-5880-4993-bc5b-eb6d641573a3","is_oa":true,"landing_page_url":"https://research.monash.edu/en/publications/533ceacc-5880-4993-bc5b-eb6d641573a3","pdf_url":"https://researchmgt.monash.edu/ws/files/586644328/577660382_oa.pdf","source":{"id":"https://openalex.org/S4306402625","display_name":"Monash University Research Portal (Monash University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I56590836","host_organization_name":"Monash University","host_organization_lineage":["https://openalex.org/I56590836"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Husnayain, A & Su, E C Y 2024, Assessing internet search models in predicting daily new COVID-19 cases and deaths in South Korea. in J Bichel-Findlay, P Otero, P Scott & E Huesing (eds), MEDINFO 2023 \u2014 The Future Is Accessible : Proceedings of the 19th World Congress on Medical and Health Informatics. Studies in Health Technology and Informatics, vol. 310, IOS Press, Amsterdam Netherlands, pp. 855-859, World Congress on Medical and Health Informatics 2023, Sydney, New South Wales, Australia, 8/07/23. https://doi.org/10.3233/SHTI231086","raw_type":"contributionToPeriodical"},{"id":"pmh:oai:monash.edu:publications/533ceacc-5880-4993-bc5b-eb6d641573a3","is_oa":true,"landing_page_url":"http://www.scopus.com/inward/record.url?scp=85183584792&partnerID=8YFLogxK","pdf_url":null,"source":{"id":"https://openalex.org/S4306402625","display_name":"Monash University Research Portal (Monash University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I56590836","host_organization_name":"Monash University","host_organization_lineage":["https://openalex.org/I56590836"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Husnayain , A & Su , E C Y 2024 , Assessing internet search models in predicting daily new COVID-19 cases and deaths in South Korea . in J Bichel-Findlay , P Otero , P Scott & E Huesing (eds) , MEDINFO 2023 \u2014 The Future Is Accessible : Proceedings of the 19th World Congress on Medical and Health Informatics . Studies in Health Technology and Informatics , vol. 310 , IOS Press , Amsterdam Netherlands , pp. 855-859 , World Congress on Medical and Health Informatics 2023 , Sydney , New South Wales , Australia , 8/07/23 . https://doi.org/10.3233/SHTI231086","raw_type":"contributionToPeriodical"}],"best_oa_location":{"id":"doi:10.3233/shti231086","is_oa":true,"landing_page_url":"https://doi.org/10.3233/shti231086","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/SHTI231086","source":{"id":"https://openalex.org/S4210179765","display_name":"Studies in health technology and informatics","issn_l":"0926-9630","issn":["0926-9630","1879-8365"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"book series"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Studies in Health Technology and Informatics","raw_type":"book-chapter"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4391229637.pdf"},"referenced_works_count":9,"referenced_works":["https://openalex.org/W2891542406","https://openalex.org/W3008443627","https://openalex.org/W3013056994","https://openalex.org/W3016150967","https://openalex.org/W3031068592","https://openalex.org/W3039832130","https://openalex.org/W3094037370","https://openalex.org/W3175294199","https://openalex.org/W3211390835"],"related_works":["https://openalex.org/W2575795810","https://openalex.org/W3093365844","https://openalex.org/W63065332","https://openalex.org/W2983071886","https://openalex.org/W397719029","https://openalex.org/W2775379093","https://openalex.org/W4311364185","https://openalex.org/W2904016984","https://openalex.org/W4200124026","https://openalex.org/W4283650582"],"abstract_inverted_index":{"Search":[0],"data":[1,42,95],"were":[2,63,85],"found":[3],"to":[4,17,47,57,140],"be":[5,138,141],"useful":[6],"variables":[7],"for":[8,39,99,113],"COVID-19":[9],"trend":[10],"prediction.":[11],"In":[12],"this":[13],"study,":[14],"we":[15],"aimed":[16],"investigate":[18],"the":[19,59,97,124,131,144],"performance":[20,125],"of":[21,70,109,119,126,130,146],"online":[22],"search":[23,94],"models":[24,28,37,98],"in":[25,66,96,105,143],"state":[26],"space":[27],"(SSMs),":[29],"linear":[30,36],"regression":[31],"(LR)":[32],"models,":[33],"and":[34,80,101,128,135],"generalized":[35],"(GLMs)":[38],"South":[40],"Korean":[41],"from":[43],"January":[44],"20,":[45],"2020,":[46],"July":[48],"31,":[49],"2021.":[50],"Principal":[51],"component":[52],"analysis":[53],"(PCA)":[54],"was":[55],"run":[56],"construct":[58],"composite":[60],"features":[61],"which":[62],"later":[64],"used":[65,121],"model":[67,120],"development.":[68],"Values":[69],"root":[71],"mean":[72],"squared":[73],"error":[74,78,83],"(RMSE),":[75],"peak":[76,81],"day":[77],"(PDE),":[79],"magnitude":[82],"(PME)":[84],"defined":[86],"as":[87],"loss":[88],"functions.":[89],"Results":[90],"showed":[91],"that":[92,117],"integrating":[93],"short-":[100],"long-term":[102],"prediction":[103,127],"resulted":[104],"a":[106],"low":[107],"level":[108],"RMSE":[110],"values,":[111],"particularly":[112],"SSMs.":[114],"Findings":[115],"indicated":[116],"type":[118],"highly":[122],"impacts":[123],"interpretability":[129],"model.":[132],"Furthermore,":[133],"PDE":[134],"PME":[136],"could":[137],"beneficial":[139],"included":[142],"evaluation":[145],"peaks.":[147]},"counts_by_year":[],"updated_date":"2026-01-22T23:29:09.771500","created_date":"2025-10-10T00:00:00"}