{"id":"https://openalex.org/W3212125549","doi":"https://doi.org/10.1186/s12859-021-04059-x","title":"Epidemic prediction of dengue fever based on vector compartment model and Markov chain Monte Carlo method","display_name":"Epidemic prediction of dengue fever based on vector compartment model and Markov chain Monte Carlo method","publication_year":2021,"publication_date":"2021-11-01","ids":{"openalex":"https://openalex.org/W3212125549","doi":"https://doi.org/10.1186/s12859-021-04059-x","mag":"3212125549","pmid":"https://pubmed.ncbi.nlm.nih.gov/34749630","pmcid":"https://www.ncbi.nlm.nih.gov/pmc/articles/8576924"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-021-04059-x","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/s12859-021-04059-x","source":{"id":"https://openalex.org/S19032547","display_name":"BMC Bioinformatics","issn_l":"1471-2105","issn":["1471-2105"],"is_oa":true,"is_in_doaj":true,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310319965","https://openalex.org/P4310320256"],"host_organization_lineage_names":["Springer Nature","BioMed Central"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},"type":"article","type_crossref":"journal-article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/s12859-021-04059-x","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5030585729","display_name":"Chien\u2010Hung Lee","orcid":"https://orcid.org/0000-0002-0988-264X"},"institutions":[{"id":"https://openalex.org/I152743029","display_name":"Kaohsiung Medical University","ror":"https://ror.org/03gk81f96","country_code":"TW","type":"funder","lineage":["https://openalex.org/I152743029"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chien-Hung Lee","raw_affiliation_strings":["Department of Public Health, College of Health Sciences, Kaohsiung Medical University, Kaohsiung, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Public Health, College of Health Sciences, Kaohsiung Medical University, Kaohsiung, Taiwan","institution_ids":["https://openalex.org/I152743029"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050433974","display_name":"Ko Chang","orcid":"https://orcid.org/0000-0002-6447-8703"},"institutions":[{"id":"https://openalex.org/I4210145822","display_name":"Kaohsiung Municipal Hsiao-Kang Hospital","ror":"https://ror.org/04gn22j10","country_code":"TW","type":"healthcare","lineage":["https://openalex.org/I4210145822"]},{"id":"https://openalex.org/I152743029","display_name":"Kaohsiung Medical University","ror":"https://ror.org/03gk81f96","country_code":"TW","type":"funder","lineage":["https://openalex.org/I152743029"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Ko Chang","raw_affiliation_strings":["Department of Internal Medicine, Kaohsiung Municipal Hsiao-Kang Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Internal Medicine, Kaohsiung Municipal Hsiao-Kang Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan","institution_ids":["https://openalex.org/I4210145822","https://openalex.org/I152743029"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030172333","display_name":"Yao\u2010Mei Chen","orcid":"https://orcid.org/0000-0003-1172-7718"},"institutions":[{"id":"https://openalex.org/I152743029","display_name":"Kaohsiung Medical University","ror":"https://ror.org/03gk81f96","country_code":"TW","type":"funder","lineage":["https://openalex.org/I152743029"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yao-Mei Chen","raw_affiliation_strings":["School of Nursing, Kaohsiung Medical University, Kaohsiung, Taiwan"],"affiliations":[{"raw_affiliation_string":"School of Nursing, Kaohsiung Medical University, Kaohsiung, Taiwan","institution_ids":["https://openalex.org/I152743029"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057953757","display_name":"Jinn-Tsong Tsai","orcid":"https://orcid.org/0000-0002-1531-5027"},"institutions":[{"id":"https://openalex.org/I1309796872","display_name":"National Pingtung University","ror":"https://ror.org/03z698x91","country_code":"TW","type":"education","lineage":["https://openalex.org/I1309796872"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Jinn-Tsong Tsai","raw_affiliation_strings":["Department of Computer Science, National Pingtung University, Pingtung, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, National Pingtung University, Pingtung, Taiwan","institution_ids":["https://openalex.org/I1309796872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089281603","display_name":"Yenming J. Chen","orcid":"https://orcid.org/0000-0003-3072-0917"},"institutions":[{"id":"https://openalex.org/I4387154394","display_name":"National Kaohsiung University of Science and Technology","ror":"https://ror.org/00hfj7g70","country_code":null,"type":"education","lineage":["https://openalex.org/I4387154394"]}],"countries":[],"is_corresponding":true,"raw_author_name":"Yenming J. Chen","raw_affiliation_strings":["Management School, National Kaohsiung University of Science and Technology, Kaohsiung, Taiwan"],"affiliations":[{"raw_affiliation_string":"Management School, National Kaohsiung University of Science and Technology, Kaohsiung, Taiwan","institution_ids":["https://openalex.org/I4387154394","https://openalex.org/I4387154394"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069961953","display_name":"Wen\u2010Hsien Ho","orcid":"https://orcid.org/0000-0001-6194-0563"},"institutions":[{"id":"https://openalex.org/I152743029","display_name":"Kaohsiung Medical University","ror":"https://ror.org/03gk81f96","country_code":"TW","type":"funder","lineage":["https://openalex.org/I152743029"]},{"id":"https://openalex.org/I2802587341","display_name":"Kaohsiung Medical University Chung-Ho Memorial Hospital","ror":"https://ror.org/02xmkec90","country_code":"TW","type":"healthcare","lineage":["https://openalex.org/I2802587341"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Wen-Hsien Ho","raw_affiliation_strings":["Department of Medical Research, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Medical Research, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan","institution_ids":["https://openalex.org/I152743029","https://openalex.org/I2802587341"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5089281603"],"corresponding_institution_ids":["https://openalex.org/I4387154394"],"apc_list":{"value":1690,"currency":"GBP","value_usd":2072},"apc_paid":{"value":1690,"currency":"GBP","value_usd":2072},"fwci":0.235,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.400421,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":75,"max":78},"biblio":{"volume":"22","issue":"S5","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10410","display_name":"COVID-19 epidemiological studies","score":0.998,"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":0.998,"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/T10166","display_name":"Mosquito-borne diseases and control","score":0.9942,"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/T12492","display_name":"Zoonotic diseases and public health","score":0.9792,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/epidemic-model","display_name":"Epidemic model","score":0.53424805}],"concepts":[{"id":"https://openalex.org/C533803919","wikidata":"https://www.wikidata.org/wiki/Q30953","display_name":"Dengue fever","level":2,"score":0.8542305},{"id":"https://openalex.org/C111350023","wikidata":"https://www.wikidata.org/wiki/Q1191869","display_name":"Markov chain Monte Carlo","level":3,"score":0.72256446},{"id":"https://openalex.org/C1627819","wikidata":"https://www.wikidata.org/wiki/Q2572354","display_name":"Epidemic model","level":3,"score":0.53424805},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.51080227},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.479011},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.45930254},{"id":"https://openalex.org/C524204448","wikidata":"https://www.wikidata.org/wiki/Q788926","display_name":"Infectious disease (medical specialty)","level":3,"score":0.42419767},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.42279437},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.34222817},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.32700497},{"id":"https://openalex.org/C159047783","wikidata":"https://www.wikidata.org/wiki/Q7215","display_name":"Virology","level":1,"score":0.28476614},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.26472056},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.25797808},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.25373188},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.251046},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.22196159},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2101157},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.15924615},{"id":"https://openalex.org/C99454951","wikidata":"https://www.wikidata.org/wiki/Q932068","display_name":"Environmental health","level":1,"score":0.12855375},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000330","descriptor_name":"Aedes","qualifier_ui":"","qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003715","descriptor_name":"Dengue","qualifier_ui":"","qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D058872","descriptor_name":"Epidemics","qualifier_ui":"","qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":"","qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003715","descriptor_name":"Dengue","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":"","qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008390","descriptor_name":"Markov Chains","qualifier_ui":"","qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009010","descriptor_name":"Monte Carlo Method","qualifier_ui":"","qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000072138","descriptor_name":"Mosquito Vectors","qualifier_ui":"","qualifier_name":null,"is_major_topic":false}],"locations_count":4,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-021-04059-x","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/s12859-021-04059-x","source":{"id":"https://openalex.org/S19032547","display_name":"BMC Bioinformatics","issn_l":"1471-2105","issn":["1471-2105"],"is_oa":true,"is_in_doaj":true,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310319965","https://openalex.org/P4310320256"],"host_organization_lineage_names":["Springer Nature","BioMed Central"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},{"is_oa":false,"landing_page_url":"https://doaj.org/article/942b0e969c6141f4a9d5b8d9f9bc88b2","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":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},{"is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8576924","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_indexed_in_scopus":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":["National Institutes of Health"],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true},{"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34749630","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_indexed_in_scopus":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":["National Institutes of Health"],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-021-04059-x","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/s12859-021-04059-x","source":{"id":"https://openalex.org/S19032547","display_name":"BMC Bioinformatics","issn_l":"1471-2105","issn":["1471-2105"],"is_oa":true,"is_in_doaj":true,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310319965","https://openalex.org/P4310320256"],"host_organization_lineage_names":["Springer Nature","BioMed Central"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[{"score":0.89,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"grants":[{"funder":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan","award_id":"109-2221-E-037-005"},{"funder":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan","award_id":"107-2410-H-992-014-MY2"},{"funder":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan","award_id":"109-2221-E-153-005-MY3"},{"funder":"https://openalex.org/F4320322845","funder_display_name":"National Health Research Institutes","award_id":"106A1\u2010MRCO\u20101017172"}],"datasets":[],"versions":[],"referenced_works_count":16,"referenced_works":["https://openalex.org/W1517222275","https://openalex.org/W1977233058","https://openalex.org/W2031713458","https://openalex.org/W2064988657","https://openalex.org/W2105906093","https://openalex.org/W2114863722","https://openalex.org/W2119499438","https://openalex.org/W2148301044","https://openalex.org/W2154840136","https://openalex.org/W2159536336","https://openalex.org/W2339751448","https://openalex.org/W2880203284","https://openalex.org/W2888957221","https://openalex.org/W2967041091","https://openalex.org/W2984074249","https://openalex.org/W3122881678"],"related_works":["https://openalex.org/W4381663654","https://openalex.org/W3134583160","https://openalex.org/W2807168341","https://openalex.org/W2725116932","https://openalex.org/W2560223662","https://openalex.org/W2509622515","https://openalex.org/W2155365093","https://openalex.org/W2068304598","https://openalex.org/W2003258360","https://openalex.org/W1965818759"],"abstract_inverted_index":{"Dengue":[0],"epidemics":[1],"is":[2,65,198,240,244],"affected":[3],"by":[4],"vector-human":[5],"interactive":[6],"dynamics.":[7],"Infectious":[8],"disease":[9,82],"prevention":[10,305,317],"and":[11,31,48,59,103,115,156,210,252,289,296,338],"control":[12,26,297],"emphasize":[13],"the":[14,18,49,52,60,76,81,91,99,112,121,141,162,166,175,205,220,224,227,235,247,253,264,270,291,316],"timing":[15,42],"intervention":[16],"at":[17,226],"right":[19],"diffusion":[20,78],"phase.":[21],"In":[22],"such":[23],"a":[24,45,86,132,137,185],"way,":[25],"measures":[27],"can":[28,34,218,284,307,325],"be":[29,35,57,201,285,326],"cost-effective,":[30],"epidemic":[32,95,122,163,278,304],"incidents":[33],"controlled":[36],"before":[37,311],"devastated":[38],"consequence":[39],"occurs.":[40],"However,":[41],"relations":[43],"between":[44],"measurable":[46],"signal":[47],"onset":[50],"of":[51,80,85,93,101,123,140,168,171,179,187,194,208,249,255,281],"pandemic":[53],"are":[54],"complex":[55,71],"to":[56,67,126,160,200,203,222,246,287,294],"discovered,":[58],"typical":[61],"lag":[62],"period":[63],"regression":[64],"difficult":[66],"capture":[68],"in":[69,83,105],"these":[70,323],"relations.":[72],"This":[73,276],"study":[74,111],"investigates":[75],"dynamic":[77],"pattern":[79],"terms":[84],"probability":[87],"distribution.":[88],"We":[89,109,232,261],"estimate":[90],"parameters":[92],"an":[94],"compartment":[96,149],"model":[97,139,193,280],"with":[98,147,184],"cross-infection":[100],"patients":[102],"mosquitoes":[104],"various":[106],"infection":[107,230],"cycles.":[108],"comprehensively":[110],"incorporated":[113],"meteorological":[114],"mosquito":[116],"factors":[117,170],"that":[118,234,263],"may":[119],"affect":[120],"dengue":[124,128,172,237,282,298],"fever":[125,129,283],"predict":[127,204],"epidemics.We":[130],"develop":[131],"dual-parameter":[133],"estimation":[134],"algorithm":[135,217],"for":[136,145],"composite":[138],"partial":[142],"differential":[143],"equations":[144],"vector-susceptible-infectious-recovered":[146],"exogeneity":[148],"model,":[150,302],"Markov":[151],"chain":[152],"Montel":[153],"Carlo":[154],"method,":[155],"boundary":[157],"element":[158],"method":[159],"evaluate":[161,290],"periodicity":[164],"under":[165],"effect":[167,272],"environmental":[169],"fever,":[173],"given":[174],"time":[176,293],"series":[177],"data":[178,331],"2000-2016":[180],"from":[181,322,336],"three":[182],"cities":[183],"population":[186],"4.7":[188],"million.":[189],"The":[190,319],"established":[191,277],"computer":[192],"\"energy":[195],"accumulation-delayed":[196],"diffusion-epidemics\"":[197],"proven":[199],"effective":[202],"future":[206],"trend":[207],"reported":[209],"unreported":[211],"infected":[212,256,274],"incidents.":[213],"Our":[214],"artificial":[215],"intelligent":[216],"inform":[219],"authority":[221],"cease":[223],"larvae":[225],"highest":[228],"vector":[229],"time.":[231],"find":[233],"estimated":[236],"report":[238],"rate":[239],"about":[241],"20%,":[242],"which":[243],"close":[245],"number":[248],"official":[250],"announcements,":[251],"percentage":[254],"vectors":[257],"increases":[258],"exponentially":[259],"yearly.":[260],"suggest":[262],"executive":[265],"authorities":[266],"should":[267],"seriously":[268],"consider":[269],"accumulated":[271],"among":[273],"populations.":[275],"prediction":[279],"used":[286],"simulate":[288],"best":[292],"prevent":[295],"fever.Given":[299],"our":[300],"developed":[301],"government":[303],"teams":[306],"apply":[308],"this":[309],"platform":[310],"they":[312],"physically":[313],"carry":[314],"out":[315],"work.":[318],"optimal":[320],"suggestions":[321],"models":[324],"promptly":[327],"accommodated":[328],"when":[329],"real-time":[330],"have":[332],"been":[333],"continuously":[334],"corrected":[335],"clinics":[337],"related":[339],"agents.":[340]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W3212125549","counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2025-04-13T23:03:57.846738","created_date":"2021-11-22"}