{"id":"https://openalex.org/W3157300731","doi":"https://doi.org/10.1108/lht-10-2020-0263","title":"On fluctuating characteristics of global COVID-19 cases and identification of inflection points","display_name":"On fluctuating characteristics of global COVID-19 cases and identification of inflection points","publication_year":2021,"publication_date":"2021-05-02","ids":{"openalex":"https://openalex.org/W3157300731","doi":"https://doi.org/10.1108/lht-10-2020-0263","mag":"3157300731"},"language":"en","primary_location":{"id":"doi:10.1108/lht-10-2020-0263","is_oa":false,"landing_page_url":"https://doi.org/10.1108/lht-10-2020-0263","pdf_url":null,"source":{"id":"https://openalex.org/S143568823","display_name":"Library Hi Tech","issn_l":"0737-8831","issn":["0737-8831","2054-166X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Library Hi Tech","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5080875437","display_name":"Xin Feng","orcid":"https://orcid.org/0000-0002-0140-8003"},"institutions":[{"id":"https://openalex.org/I39333907","display_name":"Yanshan University","ror":"https://ror.org/02txfnf15","country_code":"CN","type":"education","lineage":["https://openalex.org/I39333907"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xin Feng","raw_affiliation_strings":["School of Economics and Management, Yanshan University, Qinhuangdao, China"],"affiliations":[{"raw_affiliation_string":"School of Economics and Management, Yanshan University, Qinhuangdao, China","institution_ids":["https://openalex.org/I39333907"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088409354","display_name":"Hanshui Zhang","orcid":"https://orcid.org/0000-0003-3677-7332"},"institutions":[{"id":"https://openalex.org/I95946905","display_name":"Hebei GEO University","ror":"https://ror.org/013x4kb81","country_code":"CN","type":"education","lineage":["https://openalex.org/I95946905"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hanshui Zhang","raw_affiliation_strings":["School of Urban Geology and Engineering, Hebei GEO University, Shijiazhuang, China"],"affiliations":[{"raw_affiliation_string":"School of Urban Geology and Engineering, Hebei GEO University, Shijiazhuang, China","institution_ids":["https://openalex.org/I95946905"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100333786","display_name":"Yue Zhang","orcid":"https://orcid.org/0000-0003-1789-0209"},"institutions":[{"id":"https://openalex.org/I95946905","display_name":"Hebei GEO University","ror":"https://ror.org/013x4kb81","country_code":"CN","type":"education","lineage":["https://openalex.org/I95946905"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Zhang","raw_affiliation_strings":["School of Urban Geology and Engineering, Hebei GEO University, Shijiazhuang, China"],"affiliations":[{"raw_affiliation_string":"School of Urban Geology and Engineering, Hebei GEO University, Shijiazhuang, China","institution_ids":["https://openalex.org/I95946905"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000606653","display_name":"Liming Sun","orcid":"https://orcid.org/0000-0001-6211-3594"},"institutions":[{"id":"https://openalex.org/I95946905","display_name":"Hebei GEO University","ror":"https://ror.org/013x4kb81","country_code":"CN","type":"education","lineage":["https://openalex.org/I95946905"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liming Sun","raw_affiliation_strings":["School of Languages and Culture, Hebei GEO University, Shijiazhuang, China"],"affiliations":[{"raw_affiliation_string":"School of Languages and Culture, Hebei GEO University, Shijiazhuang, China","institution_ids":["https://openalex.org/I95946905"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074794364","display_name":"Jiapei Li","orcid":"https://orcid.org/0000-0002-8720-6022"},"institutions":[{"id":"https://openalex.org/I95946905","display_name":"Hebei GEO University","ror":"https://ror.org/013x4kb81","country_code":"CN","type":"education","lineage":["https://openalex.org/I95946905"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiapei Li","raw_affiliation_strings":["School of Management, Hebei GEO University, Shijiazhuang, China"],"affiliations":[{"raw_affiliation_string":"School of Management, Hebei GEO University, Shijiazhuang, China","institution_ids":["https://openalex.org/I95946905"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100694806","display_name":"Ye Wu","orcid":"https://orcid.org/0000-0001-9038-2900"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ye Wu","raw_affiliation_strings":["Center for Computational Communication Research, Beijing Normal University, Zhuhai, China"],"affiliations":[{"raw_affiliation_string":"Center for Computational Communication Research, Beijing Normal University, Zhuhai, China","institution_ids":["https://openalex.org/I25254941"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5080875437"],"corresponding_institution_ids":["https://openalex.org/I39333907"],"apc_list":null,"apc_paid":null,"fwci":0.5374,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.61944647,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"39","issue":"3","first_page":"888","last_page":"902"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10410","display_name":"COVID-19 epidemiological studies","score":0.9997000098228455,"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":0.9997000098228455,"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/T11270","display_name":"Complex Systems and Time Series Analysis","score":0.9829999804496765,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11711","display_name":"COVID-19 Pandemic Impacts","score":0.982699990272522,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/inflection-point","display_name":"Inflection point","score":0.9080715179443359},{"id":"https://openalex.org/keywords/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.7366034388542175},{"id":"https://openalex.org/keywords/inflection","display_name":"Inflection","score":0.6789155602455139},{"id":"https://openalex.org/keywords/slowdown","display_name":"Slowdown","score":0.675000786781311},{"id":"https://openalex.org/keywords/originality","display_name":"Originality","score":0.5282377600669861},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.5145546793937683},{"id":"https://openalex.org/keywords/severe-acute-respiratory-syndrome-coronavirus-2","display_name":"Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)","score":0.42424172163009644},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.4232717752456665},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.37886589765548706},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3198796510696411},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.2899004817008972},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.27615952491760254},{"id":"https://openalex.org/keywords/economic-growth","display_name":"Economic growth","score":0.1287573277950287},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.1254729926586151},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.11852267384529114},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.08165013790130615},{"id":"https://openalex.org/keywords/sociology","display_name":"Sociology","score":0.08147227764129639},{"id":"https://openalex.org/keywords/social-science","display_name":"Social science","score":0.07827231287956238}],"concepts":[{"id":"https://openalex.org/C74545648","wikidata":"https://www.wikidata.org/wiki/Q212794","display_name":"Inflection point","level":2,"score":0.9080715179443359},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.7366034388542175},{"id":"https://openalex.org/C159403335","wikidata":"https://www.wikidata.org/wiki/Q207857","display_name":"Inflection","level":2,"score":0.6789155602455139},{"id":"https://openalex.org/C2777242750","wikidata":"https://www.wikidata.org/wiki/Q31351","display_name":"Slowdown","level":2,"score":0.675000786781311},{"id":"https://openalex.org/C2776950860","wikidata":"https://www.wikidata.org/wiki/Q2914681","display_name":"Originality","level":3,"score":0.5282377600669861},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.5145546793937683},{"id":"https://openalex.org/C3007834351","wikidata":"https://www.wikidata.org/wiki/Q82069695","display_name":"Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)","level":5,"score":0.42424172163009644},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.4232717752456665},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.37886589765548706},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3198796510696411},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.2899004817008972},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.27615952491760254},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.1287573277950287},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.1254729926586151},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.11852267384529114},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.08165013790130615},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.08147227764129639},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.07827231287956238},{"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/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C190248442","wikidata":"https://www.wikidata.org/wiki/Q839486","display_name":"Qualitative research","level":2,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1108/lht-10-2020-0263","is_oa":false,"landing_page_url":"https://doi.org/10.1108/lht-10-2020-0263","pdf_url":null,"source":{"id":"https://openalex.org/S143568823","display_name":"Library Hi Tech","issn_l":"0737-8831","issn":["0737-8831","2054-166X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Library Hi Tech","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.800000011920929,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W2097749765","https://openalex.org/W3008443627","https://openalex.org/W3020878652","https://openalex.org/W3022163878","https://openalex.org/W3029558740","https://openalex.org/W3037346566","https://openalex.org/W3037659556","https://openalex.org/W3038821093","https://openalex.org/W3040069140","https://openalex.org/W3044143483","https://openalex.org/W3044220728","https://openalex.org/W3044382345","https://openalex.org/W3094686502","https://openalex.org/W3096495616","https://openalex.org/W3104198287","https://openalex.org/W3108734355","https://openalex.org/W3111905892"],"related_works":["https://openalex.org/W2023911433","https://openalex.org/W2488531810","https://openalex.org/W2394188837","https://openalex.org/W4230979140","https://openalex.org/W4387737962","https://openalex.org/W4384071035","https://openalex.org/W3112019694","https://openalex.org/W2498924588","https://openalex.org/W2093789671","https://openalex.org/W4244328916"],"abstract_inverted_index":{"Purpose":[0],"The":[1,90,113],"emergence":[2],"of":[3,21,34,50,59,80,97,100,111,115,142,149,160,169,176,198],"a":[4,12,108,126,164,171,188],"coronavirus":[5],"disease":[6],"2019":[7],"(COVID-19)":[8],"epidemic":[9],"has":[10,107,187],"had":[11],"tremendous":[13],"impact":[14,114],"on":[15,56,67],"the":[16,19,32,45,51,57,64,68,70,73,78,81,94,98,119,138,147,158,167,174,195,202],"world,":[17],"and":[18,36,43,47,76,86,124,146,178,191],"characteristics":[20,49],"its":[22],"evolution":[23],"need":[24],"to":[25],"be":[26],"better":[27],"understood.":[28],"Design/methodology/approach":[29],"To":[30],"explore":[31],"changes":[33],"cases":[35,62,85,104,145,200],"control":[37],"them":[38],"effectively,":[39],"this":[40],"paper":[41,186],"analyzes":[42],"models":[44],"fluctuation":[46],"dynamic":[48,196],"daily":[52,83],"growth":[53,95,177],"rate":[54,168,175],"based":[55],"data":[58],"newly":[60],"confirmed":[61,84,102,144],"around":[63],"world.":[65,203],"Based":[66],"data,":[69],"authors":[71],"identify":[72],"inflection":[74,135,155],"points":[75,136,156],"analyze":[77],"causes":[79],"new":[82,101,143],"deaths":[87,150],"worldwide.":[88],"Findings":[89],"study":[91],"found":[92],"that":[93],"sequence":[96],"number":[99,148],"COVID-19":[103,199],"per":[105,151],"day":[106],"significant":[109],"cluster":[110],"fluctuations.":[112],"previous":[116],"fluctuations":[117],"in":[118,137,166,173,182,201],"future":[120],"is":[121],"gradually":[122],"attenuated":[123],"shows":[125],"relatively":[127],"gentle":[128],"long-term":[129],"downward":[130],"trend.":[131],"There":[132],"are":[133],"four":[134],"global":[139],"time":[140],"series":[141],"day.":[152],"And":[153],"these":[154],"show":[157],"state":[159],"an":[161,179],"accelerated":[162,180],"rise,":[163],"slowdown":[165,172],"decline,":[170],"decline":[181],"turn.":[183],"Originality/value":[184],"This":[185],"certain":[189],"guiding":[190],"innovative":[192],"significance":[193],"for":[194],"research":[197]},"counts_by_year":[{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
