{"id":"https://openalex.org/W4409559219","doi":"https://doi.org/10.1371/journal.pcbi.1012996","title":"Joint estimation of hand-foot-mouth disease model and prediction in korea using the ensemble kalman filter","display_name":"Joint estimation of hand-foot-mouth disease model and prediction in korea using the ensemble kalman filter","publication_year":2025,"publication_date":"2025-04-17","ids":{"openalex":"https://openalex.org/W4409559219","doi":"https://doi.org/10.1371/journal.pcbi.1012996","pmid":"https://pubmed.ncbi.nlm.nih.gov/40245103"},"language":"en","primary_location":{"id":"doi:10.1371/journal.pcbi.1012996","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1012996","pdf_url":null,"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://doi.org/10.1371/journal.pcbi.1012996","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5082946414","display_name":"Wasim Abbas","orcid":"https://orcid.org/0000-0002-1706-1462"},"institutions":[{"id":"https://openalex.org/I31419693","display_name":"Kyungpook National University","ror":"https://ror.org/040c17130","country_code":"KR","type":"education","lineage":["https://openalex.org/I31419693"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Wasim Abbas","raw_affiliation_strings":["Nonlinear Dynamics and Mathematical Application Center, Kyungpook National University, Daegu, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0002-1706-1462","affiliations":[{"raw_affiliation_string":"Nonlinear Dynamics and Mathematical Application Center, Kyungpook National University, Daegu, Republic of Korea","institution_ids":["https://openalex.org/I31419693"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031083361","display_name":"Sieun Lee","orcid":"https://orcid.org/0000-0002-9959-6005"},"institutions":[{"id":"https://openalex.org/I161217753","display_name":"Busan National University of Education","ror":"https://ror.org/01rf04680","country_code":"KR","type":"education","lineage":["https://openalex.org/I161217753"]},{"id":"https://openalex.org/I4921948","display_name":"Pusan National University","ror":"https://ror.org/01an57a31","country_code":"KR","type":"education","lineage":["https://openalex.org/I4921948"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sieun Lee","raw_affiliation_strings":["Innovation Center for MathScience Research & Education, Pusan National University, Busan, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Innovation Center for MathScience Research & Education, Pusan National University, Busan, Republic of Korea","institution_ids":["https://openalex.org/I4921948","https://openalex.org/I161217753"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037773992","display_name":"Sangil Kim","orcid":"https://orcid.org/0000-0002-4408-2904"},"institutions":[{"id":"https://openalex.org/I4921948","display_name":"Pusan National University","ror":"https://ror.org/01an57a31","country_code":"KR","type":"education","lineage":["https://openalex.org/I4921948"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sangil Kim","raw_affiliation_strings":["Department of Mathematics, Pusan National University, Busan, Republic of Korea","Institute for Future Earth, Pusan National University, Busan, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0002-4408-2904","affiliations":[{"raw_affiliation_string":"Department of Mathematics, Pusan National University, Busan, Republic of Korea","institution_ids":["https://openalex.org/I4921948"]},{"raw_affiliation_string":"Institute for Future Earth, Pusan National University, Busan, Republic of Korea","institution_ids":["https://openalex.org/I4921948"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2655,"currency":"USD","value_usd":2655},"apc_paid":{"value":2655,"currency":"USD","value_usd":2655},"fwci":1.0311,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.75954624,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"21","issue":"4","first_page":"e1012996","last_page":"e1012996"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11112","display_name":"Viral Infections and Immunology Research","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"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/T11112","display_name":"Viral Infections and Immunology Research","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"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/T11560","display_name":"Animal Disease Management and Epidemiology","score":0.00019999999494757503,"subfield":{"id":"https://openalex.org/subfields/1102","display_name":"Agronomy and Crop Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11243","display_name":"Respiratory viral infections research","score":9.999999747378752e-05,"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/kalman-filter","display_name":"Kalman filter","score":0.6512389779090881},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.6302781105041504},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.6142557263374329},{"id":"https://openalex.org/keywords/transmission","display_name":"Transmission (telecommunications)","score":0.529519259929657},{"id":"https://openalex.org/keywords/outbreak","display_name":"Outbreak","score":0.5259673595428467},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.5063616037368774},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4591064453125},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.41894832253456116},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.30863672494888306},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2576289772987366},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11431559920310974}],"concepts":[{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.6512389779090881},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.6302781105041504},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.6142557263374329},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.529519259929657},{"id":"https://openalex.org/C116675565","wikidata":"https://www.wikidata.org/wiki/Q3241045","display_name":"Outbreak","level":2,"score":0.5259673595428467},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.5063616037368774},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4591064453125},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.41894832253456116},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.30863672494888306},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2576289772987366},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11431559920310974},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C159047783","wikidata":"https://www.wikidata.org/wiki/Q7215","display_name":"Virology","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D004196","descriptor_name":"Disease Outbreaks","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D004196","descriptor_name":"Disease Outbreaks","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D004196","descriptor_name":"Disease Outbreaks","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D006232","descriptor_name":"Hand, Foot and Mouth Disease","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":true},{"descriptor_ui":"D006232","descriptor_name":"Hand, Foot and Mouth Disease","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":true},{"descriptor_ui":"D006232","descriptor_name":"Hand, Foot and Mouth Disease","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":true},{"descriptor_ui":"D006232","descriptor_name":"Hand, Foot and Mouth Disease","qualifier_ui":"Q000635","qualifier_name":"transmission","is_major_topic":true},{"descriptor_ui":"D006232","descriptor_name":"Hand, Foot and Mouth Disease","qualifier_ui":"Q000635","qualifier_name":"transmission","is_major_topic":true},{"descriptor_ui":"D006232","descriptor_name":"Hand, Foot and Mouth Disease","qualifier_ui":"Q000635","qualifier_name":"transmission","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":"D008954","descriptor_name":"Models, Biological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008954","descriptor_name":"Models, Biological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008954","descriptor_name":"Models, Biological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","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":5,"locations":[{"id":"doi:10.1371/journal.pcbi.1012996","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1012996","pdf_url":null,"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:40245103","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40245103","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:RePEc:plo:pcbi00:1012996","is_oa":false,"landing_page_url":"https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1012996","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:ccf303ce99164b1abb0c1fbdd0f63b73","is_oa":true,"landing_page_url":"https://doaj.org/article/ccf303ce99164b1abb0c1fbdd0f63b73","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 21, Iss 4, p e1012996 (2025)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:12047828","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/12047828","pdf_url":null,"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"}],"best_oa_location":{"id":"doi:10.1371/journal.pcbi.1012996","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1012996","pdf_url":null,"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":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.8700000047683716}],"awards":[{"id":"https://openalex.org/G3865516117","display_name":null,"funder_award_id":"2022R1A5A1033624; RS-2023-00242528","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G6536670458","display_name":null,"funder_award_id":"RS-2023-00301938","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"}],"funders":[{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W637195664","https://openalex.org/W1943623269","https://openalex.org/W1969178891","https://openalex.org/W1994715209","https://openalex.org/W2009104157","https://openalex.org/W2018272863","https://openalex.org/W2041572706","https://openalex.org/W2079884780","https://openalex.org/W2085451305","https://openalex.org/W2093529471","https://openalex.org/W2108604227","https://openalex.org/W2112680994","https://openalex.org/W2124063640","https://openalex.org/W2133972552","https://openalex.org/W2137929380","https://openalex.org/W2142127434","https://openalex.org/W2157098139","https://openalex.org/W2412065362","https://openalex.org/W2785784252","https://openalex.org/W2791420655","https://openalex.org/W2793581435","https://openalex.org/W2915163783","https://openalex.org/W2997130744","https://openalex.org/W3000620233","https://openalex.org/W3035719209","https://openalex.org/W3111093530","https://openalex.org/W3158806941","https://openalex.org/W3198711750","https://openalex.org/W3198788902","https://openalex.org/W4210417410","https://openalex.org/W4321786364","https://openalex.org/W4405463637","https://openalex.org/W6620540825"],"related_works":["https://openalex.org/W2373635223","https://openalex.org/W2412355096","https://openalex.org/W1990012352","https://openalex.org/W2431766951","https://openalex.org/W4385969441","https://openalex.org/W127458931","https://openalex.org/W2362266265","https://openalex.org/W2557977292","https://openalex.org/W4405746056","https://openalex.org/W120499389"],"abstract_inverted_index":{"BACKGROUND:":[0],"In":[1],"Korea,":[2],"Hand-foot-and-mouth":[3],"disease":[4],"(HFMD)":[5],"is":[6,216],"a":[7,32,46,87,126,171],"recurring":[8],"illness":[9],"that":[10,49],"presents":[11],"significant":[12,127],"public":[13],"health":[14],"challenges,":[15],"primarily":[16],"because":[17],"of":[18,26,29,39,55,90,98,107,167,191,228],"its":[19],"unpredictable":[20],"epidemic":[21,203,210],"patterns.":[22,204],"The":[23,57,96,123,155,165,183,205],"accurate":[24],"prediction":[25],"the":[27,36,40,52,77,105,115,130,133,162,187,201,219],"spread":[28],"HFMD":[30,192,229],"plays":[31],"vital":[33],"role":[34],"in":[35,153,174,180,208,225],"effective":[37],"management":[38],"disease.":[41],"METHODS:":[42],"We":[43],"have":[44],"devised":[45],"dynamic":[47],"model":[48,58,91,99,131,184],"accurately":[50],"represents":[51],"transmission":[53,175,230],"dynamics":[54],"HFMD.":[56],"includes":[59],"compartments":[60],"for":[61,114,145,150,161],"susceptible,":[62],"exposed,":[63],"inpatients,":[64],"outpatients,":[65],"recovered,":[66],"and":[67,74,93,132,147,176,189,197,212],"deceased":[68],"individuals.":[69],"By":[70],"utilizing":[71],"monthly":[72,223],"inpatient":[73],"outpatient":[75],"data,":[76,135],"ensemble":[78],"Kalman":[79],"filter":[80],"(EnKF)":[81],"method":[82],"was":[83],"employed":[84],"to":[85,109,120],"perform":[86],"joint":[88],"estimation":[89],"parameters":[92,100],"state":[94],"variables.":[95],"calibration":[97],"involved":[101],"using":[102],"data":[103],"from":[104,118,222],"months":[106],"January":[108],"May,":[110],"while":[111],"generating":[112],"forecasts":[113],"timeframe":[116],"spanning":[117],"June":[119,196],"December.":[121],"RESULTS:":[122],"findings":[124,169],"reveal":[125],"alignment":[128],"between":[129,195],"observed":[134,202],"as":[136],"evidenced":[137],"by":[138,218],"root-mean-square":[139],"error":[140],"(RMSE)":[141],"values":[142],"below":[143,148],"1000":[144],"inpatients":[146],"10000":[149],"outpatients":[151],"starting":[152,179],"June.":[154],"correlation":[156],"coefficients":[157],"surpassed":[158],"0.9,":[159],"except":[160],"year":[163],"2015.":[164,181],"implications":[166],"our":[168],"suggest":[170],"notable":[172],"shift":[173],"recovery":[177],"rates,":[178],"DISCUSSION:":[182],"successfully":[185],"predicted":[186],"peak":[188],"magnitude":[190],"outbreaks":[193],"occurring":[194],"December,":[198],"closely":[199],"matching":[200],"model's":[206],"efficacy":[207],"predicting":[209],"trends":[211],"informing":[213],"preventive":[214],"strategies":[215],"reinforced":[217],"insights":[220],"gained":[221],"variations":[224],"parameter":[226],"estimates":[227],"dynamics.":[231]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}