{"id":"https://openalex.org/W4319333062","doi":"https://doi.org/10.1371/journal.pcbi.1010892","title":"Forecasting upper respiratory tract infection burden using high-dimensional time series data and forecast combinations","display_name":"Forecasting upper respiratory tract infection burden using high-dimensional time series data and forecast combinations","publication_year":2023,"publication_date":"2023-02-07","ids":{"openalex":"https://openalex.org/W4319333062","doi":"https://doi.org/10.1371/journal.pcbi.1010892","pmid":"https://pubmed.ncbi.nlm.nih.gov/36749792"},"language":"en","primary_location":{"id":"doi:10.1371/journal.pcbi.1010892","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1010892","pdf_url":"https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1010892&type=printable","source":{"id":"https://openalex.org/S86033158","display_name":"PLoS Computational Biology","issn_l":"1553-734X","issn":["1553-734X","1553-7358"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315706","host_organization_name":"Public Library of Science","host_organization_lineage":["https://openalex.org/P4310315706"],"host_organization_lineage_names":["Public Library of Science"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PLOS Computational Biology","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1010892&type=printable","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5072522537","display_name":"Jue Tao Lim","orcid":"https://orcid.org/0000-0002-2245-0331"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Jue Tao Lim","raw_affiliation_strings":["Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore"],"raw_orcid":"https://orcid.org/0000-0002-2245-0331","affiliations":[{"raw_affiliation_string":"Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102437349","display_name":"Kelvin Bryan Tan","orcid":null},"institutions":[{"id":"https://openalex.org/I1291357265","display_name":"Ministry of Health","ror":"https://ror.org/00mrhvv69","country_code":"SG","type":"government","lineage":["https://openalex.org/I1291357265"]},{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]},{"id":"https://openalex.org/I4210150261","display_name":"National University Health System","ror":"https://ror.org/05tjjsh18","country_code":"SG","type":"education","lineage":["https://openalex.org/I4210150261"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Kelvin Bryan Tan","raw_affiliation_strings":["Ministry of Health, Singapore","Saw Swee Hock School of Public Health, National University of Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ministry of Health, Singapore","institution_ids":["https://openalex.org/I1291357265"]},{"raw_affiliation_string":"Saw Swee Hock School of Public Health, National University of Singapore, Singapore","institution_ids":["https://openalex.org/I4210150261","https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076938277","display_name":"John Abisheganaden","orcid":"https://orcid.org/0000-0002-3192-317X"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]},{"id":"https://openalex.org/I2802408685","display_name":"Tan Tock Seng Hospital","ror":"https://ror.org/032d59j24","country_code":"SG","type":"healthcare","lineage":["https://openalex.org/I2802408685"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"John Abisheganaden","raw_affiliation_strings":["Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore","Tan Tock Seng Hospital, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"Tan Tock Seng Hospital, Singapore","institution_ids":["https://openalex.org/I2802408685"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003705301","display_name":"Borame Sue Lee Dickens","orcid":"https://orcid.org/0000-0003-1592-1745"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]},{"id":"https://openalex.org/I4210150261","display_name":"National University Health System","ror":"https://ror.org/05tjjsh18","country_code":"SG","type":"education","lineage":["https://openalex.org/I4210150261"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Borame L. Dickens","raw_affiliation_strings":["Saw Swee Hock School of Public Health, National University of Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Saw Swee Hock School of Public Health, National University of Singapore, Singapore","institution_ids":["https://openalex.org/I4210150261","https://openalex.org/I165932596"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5003705301","https://openalex.org/A5072522537","https://openalex.org/A5076938277","https://openalex.org/A5102437349"],"corresponding_institution_ids":["https://openalex.org/I1291357265","https://openalex.org/I165932596","https://openalex.org/I172675005","https://openalex.org/I2802408685","https://openalex.org/I4210150261"],"apc_list":{"value":2655,"currency":"USD","value_usd":2655},"apc_paid":{"value":2655,"currency":"USD","value_usd":2655},"fwci":2.4563,"has_fulltext":true,"cited_by_count":12,"citation_normalized_percentile":{"value":0.89467883,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"19","issue":"2","first_page":"e1010892","last_page":"e1010892"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11819","display_name":"Data-Driven Disease Surveillance","score":0.9868000149726868,"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"}},"topics":[{"id":"https://openalex.org/T11819","display_name":"Data-Driven Disease Surveillance","score":0.9868000149726868,"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":0.9861000180244446,"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/T11243","display_name":"Respiratory viral infections research","score":0.9746999740600586,"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/preparedness","display_name":"Preparedness","score":0.6452534794807434},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6242688894271851},{"id":"https://openalex.org/keywords/time-horizon","display_name":"Time horizon","score":0.5672295093536377},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.550892174243927},{"id":"https://openalex.org/keywords/transmission","display_name":"Transmission (telecommunications)","score":0.5099760293960571},{"id":"https://openalex.org/keywords/respiratory-tract-infections","display_name":"Respiratory tract infections","score":0.4777909219264984},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.47123226523399353},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.43413209915161133},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.4178125858306885},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.4140908718109131},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.34303542971611023},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2345115840435028},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.22039979696273804},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1420600414276123},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.13852527737617493},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.11974766850471497}],"concepts":[{"id":"https://openalex.org/C2777042776","wikidata":"https://www.wikidata.org/wiki/Q4583103","display_name":"Preparedness","level":2,"score":0.6452534794807434},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6242688894271851},{"id":"https://openalex.org/C28761237","wikidata":"https://www.wikidata.org/wiki/Q7805321","display_name":"Time horizon","level":2,"score":0.5672295093536377},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.550892174243927},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.5099760293960571},{"id":"https://openalex.org/C2776012195","wikidata":"https://www.wikidata.org/wiki/Q754447","display_name":"Respiratory tract infections","level":3,"score":0.4777909219264984},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.47123226523399353},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.43413209915161133},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.4178125858306885},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.4140908718109131},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.34303542971611023},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2345115840435028},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.22039979696273804},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1420600414276123},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.13852527737617493},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.11974766850471497},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C534529494","wikidata":"https://www.wikidata.org/wiki/Q7891","display_name":"Respiratory system","level":2,"score":0.0},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D004196","descriptor_name":"Disease Outbreaks","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D004196","descriptor_name":"Disease Outbreaks","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D004196","descriptor_name":"Disease Outbreaks","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005544","descriptor_name":"Forecasting","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005544","descriptor_name":"Forecasting","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005544","descriptor_name":"Forecasting","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":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011634","descriptor_name":"Public Health","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011634","descriptor_name":"Public Health","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011634","descriptor_name":"Public Health","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012141","descriptor_name":"Respiratory Tract Infections","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012141","descriptor_name":"Respiratory Tract Infections","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012141","descriptor_name":"Respiratory Tract Infections","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D013696","descriptor_name":"Temperature","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013696","descriptor_name":"Temperature","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013696","descriptor_name":"Temperature","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013997","descriptor_name":"Time Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013997","descriptor_name":"Time Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013997","descriptor_name":"Time Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":6,"locations":[{"id":"doi:10.1371/journal.pcbi.1010892","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1010892","pdf_url":"https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1010892&type=printable","source":{"id":"https://openalex.org/S86033158","display_name":"PLoS Computational Biology","issn_l":"1553-734X","issn":["1553-734X","1553-7358"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315706","host_organization_name":"Public Library of Science","host_organization_lineage":["https://openalex.org/P4310315706"],"host_organization_lineage_names":["Public Library of Science"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PLOS Computational Biology","raw_type":"journal-article"},{"id":"pmid:36749792","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36749792","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":"PLoS computational biology","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:9983836","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9983836","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC9983836/pdf/pcbi.1010892.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"PLoS Comput Biol","raw_type":"Text"},{"id":"pmh:oai:RePEc:plo:pcbi00:1010892","is_oa":false,"landing_page_url":"https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1010892","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"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":"article"},{"id":"pmh:oai:doaj.org/article:28daafa23f1043ebb98c1bdfeffaeb32","is_oa":true,"landing_page_url":"https://doaj.org/article/28daafa23f1043ebb98c1bdfeffaeb32","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,"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":"PLoS Computational Biology, Vol 19, Iss 2, p e1010892 (2023)","raw_type":"article"},{"id":"pmh:oai:dr.ntu.edu.sg:10356/168848","is_oa":true,"landing_page_url":"https://hdl.handle.net/10356/168848","pdf_url":null,"source":{"id":"https://openalex.org/S4306402609","display_name":"DR-NTU (Nanyang Technological University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I172675005","host_organization_name":"Nanyang Technological University","host_organization_lineage":["https://openalex.org/I172675005"],"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":null,"raw_type":"Journal Article"}],"best_oa_location":{"id":"doi:10.1371/journal.pcbi.1010892","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1010892","pdf_url":"https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1010892&type=printable","source":{"id":"https://openalex.org/S86033158","display_name":"PLoS Computational Biology","issn_l":"1553-734X","issn":["1553-734X","1553-7358"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315706","host_organization_name":"Public Library of Science","host_organization_lineage":["https://openalex.org/P4310315706"],"host_organization_lineage_names":["Public Library of Science"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PLOS Computational Biology","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320335736","display_name":"Lee Kong Chian School of Medicine, Nanyang Technological University","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4319333062.pdf","grobid_xml":"https://content.openalex.org/works/W4319333062.grobid-xml"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W626836988","https://openalex.org/W1555844993","https://openalex.org/W2009462809","https://openalex.org/W2020400579","https://openalex.org/W2060764573","https://openalex.org/W2084659566","https://openalex.org/W2107533173","https://openalex.org/W2110118110","https://openalex.org/W2111348712","https://openalex.org/W2155456146","https://openalex.org/W2168129858","https://openalex.org/W2320106191","https://openalex.org/W2335001735","https://openalex.org/W2341992371","https://openalex.org/W2346915781","https://openalex.org/W2531458834","https://openalex.org/W2614976825","https://openalex.org/W2767745493","https://openalex.org/W2887748949","https://openalex.org/W2887889066","https://openalex.org/W2990218625","https://openalex.org/W3090596114","https://openalex.org/W3095648781","https://openalex.org/W3102311896","https://openalex.org/W3104513253","https://openalex.org/W3113251956","https://openalex.org/W3174780411","https://openalex.org/W4237366124","https://openalex.org/W4292671038","https://openalex.org/W4384163751"],"related_works":["https://openalex.org/W2359432571","https://openalex.org/W2789995155","https://openalex.org/W2374164577","https://openalex.org/W2352492056","https://openalex.org/W1752797237","https://openalex.org/W181698225","https://openalex.org/W3095474833","https://openalex.org/W4205096187","https://openalex.org/W1964796802","https://openalex.org/W1480404199"],"abstract_inverted_index":{"Upper":[0],"respiratory":[1],"tract":[2],"infections":[3],"(URTIs)":[4],"represent":[5],"a":[6,64,109,119],"large":[7],"strain":[8,56],"on":[9,30,57,181],"primary":[10,58],"health":[11,19,49,77],"resources.":[12,60],"To":[13],"mitigate":[14,55],"URTI":[15,31,41],"transmission":[16,141,176,229],"and":[17,26,83,103,159,171,203,206,219,230],"public":[18,48,76],"burdens,":[20],"it":[21],"is":[22,44],"important":[23],"to":[24,54,67,113,190],"pre-empt":[25],"provide":[27],"forward":[28],"guidance":[29],"burden,":[32],"while":[33],"taking":[34],"into":[35],"account":[36],"various":[37],"facets":[38],"which":[39,70,94],"influence":[40],"transmission.":[42],"This":[43,61],"so":[45],"that":[46,149],"appropriate":[47],"measures":[50],"can":[51,71,213],"be":[52,72,214],"taken":[53],"care":[59],"study":[62],"describes":[63],"new":[65],"approach":[66],"forecasting":[68,155],"URTIs":[69,208],"used":[73,215],"for":[74,216],"national":[75],"resource":[78,222],"planning.":[79],"Specifically,":[80],"using":[81,129,187],"environmental":[82],"disease":[84],"data":[85,184,236],"comprising":[86],"more":[87,160],"than":[88,164],"1000":[89],"dimensions,":[90],"we":[91],"developed":[92],"sub-models":[93],"optimizes":[95],"model":[96,99],"explainability,":[97],"in-sample":[98],"fit,":[100],"predictive":[101,162],"accuracy":[102],"combines":[104],"many":[105],"weaker":[106],"predictors":[107],"over":[108,118,142,168],"2-month":[110],"time":[111],"horizon":[112],"generate":[114],"direct,":[115],"point":[116],"forecasts":[117],"1-8":[120],"week":[121],"ahead":[122],"forecast":[123,132,150],"horizon.":[124],"Predictive":[125],"performance":[126,163],"was":[127,185],"evaluated":[128],"rolling":[130],"out-of-sample":[131],"assessment":[133],"within":[134],"both":[135,225],"periods":[136,169,227,231],"with/without":[137],"structural":[138,173,233],"breaks":[139,174,234],"in":[140,175,199,224,235],"the":[143,192],"period":[144],"of":[145,152,228],"2012-2022.":[146],"We":[147],"showed":[148],"combinations":[151],"5":[153],"other":[154,165],"models":[156],"had":[157],"better":[158],"consistent":[161],"modelling":[166],"approaches,":[167],"with":[170],"without":[172],"dynamics.":[177],"Furthermore,":[178],"epidemiological":[179],"analysis":[180],"high":[182],"dimensional":[183],"enabled":[186],"post-selection":[188],"inference,":[189],"show":[191],"dynamic":[193],"association":[194],"between":[195],"lower":[196],"temperature,":[197],"increases":[198],"past":[200],"relative":[201],"humidity":[202,205],"absolute":[204],"increased":[207],"attendance.":[209],"The":[210],"methods":[211],"proposed":[212],"outbreak":[217],"preparedness":[218],"guide":[220],"healthcare":[221],"planning,":[223],"stable":[226],"where":[232],"occur.":[237]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":3}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
