乐胖代购免代理版

{"id":"https://openalex.org/W4389091073","doi":"https://doi.org/10.1142/s0219622023400059","title":"How China Deals with COVID-19 Pandemic","display_name":"How China Deals with COVID-19 Pandemic","publication_year":2023,"publication_date":"2023-11-28","ids":{"openalex":"https://openalex.org/W4389091073","doi":"https://doi.org/10.1142/s0219622023400059"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219622023400059","pdf_url":null,"source":{"id":"https://openalex.org/S207089700","display_name":"International Journal of Information Technology & Decision Making","issn_l":"1793-6845","issn":["1793-6845","0219-6220"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"journal-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/A5113542097","display_name":"Yong Shi","orcid":"https://orcid.org/0000-0001-7974-1079"},"institutions":[{"id":"https://openalex.org/I122266389","display_name":"University of Nebraska at Omaha","ror":"https://ror.org/04yrkc140","country_code":"US","type":"education","lineage":["https://openalex.org/I122266389"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I4210096250","display_name":"Beijing Institute of Big Data Research","ror":"https://ror.org/00s1sz824","country_code":"CN","type":"facility","lineage":["https://openalex.org/I20231570","https://openalex.org/I37796252","https://openalex.org/I4210096250"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Yong Shi","raw_affiliation_strings":["College of Information Science and Technology, University of Nebraska at Omaha, Omaha, NE 68182, USA","Key Laboratory of Big Data Mining and Knowledge Management, Chinese Academy of Sciences, Beijing 100190, P. R. China","Research Center on Fictitious Economy and Data Science, Chinese Academy of Sciences, Beijing 100190, P. R. China","School of Economics and Management, University of Chinese Academy of Sciences, Beijing 100190, P. R. China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, University of Nebraska at Omaha, Omaha, NE 68182, USA","institution_ids":["https://openalex.org/I122266389"]},{"raw_affiliation_string":"School of Economics and Management, University of Chinese Academy of Sciences, Beijing 100190, P. R. China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"Research Center on Fictitious Economy and Data Science, Chinese Academy of Sciences, Beijing 100190, P. R. China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"Key Laboratory of Big Data Mining and Knowledge Management, Chinese Academy of Sciences, Beijing 100190, P. R. China","institution_ids":["https://openalex.org/I4210096250","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089527913","display_name":"Yi Qu","orcid":"https://orcid.org/0000-0002-6353-0741"},"institutions":[{"id":"https://openalex.org/I4210096250","display_name":"Beijing Institute of Big Data Research","ror":"https://ror.org/00s1sz824","country_code":"CN","type":"facility","lineage":["https://openalex.org/I20231570","https://openalex.org/I37796252","https://openalex.org/I4210096250"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Qu","raw_affiliation_strings":["Key Laboratory of Big Data Mining and Knowledge Management, Chinese Academy of Sciences, Beijing 100190, P. R. China","Research Center on Fictitious Economy and Data Science, Chinese Academy of Sciences, Beijing 100190, P. R. China","School of Economics and Management, University of Chinese Academy of Sciences, Beijing 100190, P. R. China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Big Data Mining and Knowledge Management, Chinese Academy of Sciences, Beijing 100190, P. R. China","institution_ids":["https://openalex.org/I4210096250","https://openalex.org/I19820366"]},{"raw_affiliation_string":"School of Economics and Management, University of Chinese Academy of Sciences, Beijing 100190, P. R. China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"Research Center on Fictitious Economy and Data Science, Chinese Academy of Sciences, Beijing 100190, P. R. China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048206837","display_name":"Linzi Zhang","orcid":"https://orcid.org/0000-0003-2560-9499"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I4210096250","display_name":"Beijing Institute of Big Data Research","ror":"https://ror.org/00s1sz824","country_code":"CN","type":"facility","lineage":["https://openalex.org/I20231570","https://openalex.org/I37796252","https://openalex.org/I4210096250"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linzi Zhang","raw_affiliation_strings":["Key Laboratory of Big Data Mining and Knowledge Management, Chinese Academy of Sciences, Beijing 100190, P. R. China","Research Center on Fictitious Economy and Data Science, Chinese Academy of Sciences, Beijing 100190, P. R. China","School of Economics and Management, University of Chinese Academy of Sciences, Beijing 100190, P. R. China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Big Data Mining and Knowledge Management, Chinese Academy of Sciences, Beijing 100190, P. R. China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210096250"]},{"raw_affiliation_string":"School of Economics and Management, University of Chinese Academy of Sciences, Beijing 100190, P. R. China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"Research Center on Fictitious Economy and Data Science, Chinese Academy of Sciences, Beijing 100190, P. R. China","institution_ids":["https://openalex.org/I4210165038"]}]}],"institution_assertions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":0,"max":67},"biblio":{"volume":"23","issue":"01","first_page":"17","last_page":"35"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10410","display_name":"COVID-19 epidemiological studies","score":0.9425,"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":0.9425,"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/T11711","display_name":"COVID-19 Pandemic Impacts","score":0.9271,"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/pandemic","display_name":"Pandemic","score":0.85483205}],"concepts":[{"id":"https://openalex.org/C89623803","wikidata":"https://www.wikidata.org/wiki/Q12184","display_name":"Pandemic","level":5,"score":0.85483205},{"id":"https://openalex.org/C191935318","wikidata":"https://www.wikidata.org/wiki/Q148","display_name":"China","level":2,"score":0.8133389},{"id":"https://openalex.org/C3987366","wikidata":"https://www.wikidata.org/wiki/Q6658164","display_name":"Livelihood","level":3,"score":0.7243471},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.6660752},{"id":"https://openalex.org/C47768531","wikidata":"https://www.wikidata.org/wiki/Q1127188","display_name":"Development economics","level":1,"score":0.5035855},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.48224884},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.44372448},{"id":"https://openalex.org/C62555980","wikidata":"https://www.wikidata.org/wiki/Q1460420","display_name":"Emergency management","level":2,"score":0.41786015},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.38299048},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.3245253},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.28057057},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.15510944},{"id":"https://openalex.org/C118518473","wikidata":"https://www.wikidata.org/wiki/Q11451","display_name":"Agriculture","level":2,"score":0.11721799},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.07875079},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"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/C524204448","wikidata":"https://www.wikidata.org/wiki/Q788926","display_name":"Infectious disease (medical specialty)","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219622023400059","pdf_url":null,"source":{"id":"https://openalex.org/S207089700","display_name":"International Journal of Information Technology & Decision Making","issn_l":"1793-6845","issn":["1793-6845","0219-6220"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.57,"id":"https://metadata.un.org/sdg/3"}],"grants":[{"funder":"https://openalex.org/F4320335575","funder_display_name":"Key Programme","award_id":"72231010"}],"datasets":[],"versions":[],"referenced_works_count":18,"referenced_works":["https://openalex.org/W3012267054","https://openalex.org/W3013594674","https://openalex.org/W3016759771","https://openalex.org/W3024929659","https://openalex.org/W3032971139","https://openalex.org/W3037795158","https://openalex.org/W3046249728","https://openalex.org/W3127086218","https://openalex.org/W3144423182","https://openalex.org/W3178854122","https://openalex.org/W3186281241","https://openalex.org/W3186728370","https://openalex.org/W4211222474","https://openalex.org/W4220906680","https://openalex.org/W4292199298","https://openalex.org/W4313576197","https://openalex.org/W4372294512","https://openalex.org/W4382796394"],"related_works":["https://openalex.org/W4381570820","https://openalex.org/W4312334307","https://openalex.org/W4210454931","https://openalex.org/W3157693340","https://openalex.org/W3119540162","https://openalex.org/W2389517370","https://openalex.org/W2382919129","https://openalex.org/W2379818482","https://openalex.org/W2377896067","https://openalex.org/W122204069"],"abstract_inverted_index":{"Currently,":[0],"the":[1,8,29,40,117,120,160,163],"whole":[2],"world":[3],"is":[4],"still":[5,140],"suffering":[6],"from":[7],"COVID-19":[9,157],"(variants)":[10],"pandemic":[11,128],"that":[12],"has":[13,34],"been":[14,65],"lasting":[15],"for":[16,116],"over":[17],"three":[18],"years":[19],"and":[20,47,61,76,93,99,111,133,143,149],"resulted":[21],"in":[22,56,68,130,136,151],"countless":[23],"losses.":[24],"Since":[25],"its":[26],"outbreak":[27],"at":[28],"end":[30,161],"of":[31,53,119,127,162],"2019,":[32],"China":[33,84],"first":[35],"suffered,":[36],"but":[37],"quickly":[38],"gained":[39],"upper":[41],"hand":[42],"through":[43],"strict":[44],"epidemic":[45],"control":[46],"emergency":[48],"management.":[49],"Despite":[50],"several":[51],"recurrences":[52],"regional":[54],"epidemics":[55],"2022,":[57],"both":[58],"economic":[59],"growth":[60],"people\u2019s":[62],"livelihoods":[63],"have":[64],"effectively":[66],"safeguarded":[67],"China,":[69,137],"with":[70,86,101],"a":[71,124],"regular":[72],"prevention":[73],"system":[74],"established":[75],"social":[77],"life":[78],"recovery":[79],"accomplished":[80],"orderly.":[81],"How":[82],"does":[83],"deal":[85],"this":[87,105,138],"pandemic?":[88],"What":[89],"practical":[90],"measures":[91],"taken":[92],"decisions":[94],"made":[95],"could":[96],"be":[97],"adopted":[98],"shared":[100],"other":[102],"countries?":[103],"In":[104],"paper,":[106],"these":[107],"issues":[108],"are":[109],"summarized":[110],"discussed":[112],"as":[113],"progressive":[114],"lessons":[115],"rest":[118],"world.":[121],"Though":[122],"there\u2019s":[123],"major":[125],"shift":[126],"policy":[129],"late":[131],"2022":[132],"early":[134],"2023":[135],"study":[139],"provides":[141],"insightful":[142],"beneficial":[144],"implications":[145],"to":[146],"support":[147],"decision-":[148],"policy-makings":[150],"future":[152],"fights":[153],"against":[154],"any":[155],"possible":[156],"variants":[158],"until":[159],"pandemic.":[164]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4389091073","counts_by_year":[],"updated_date":"2025-01-06T11:50:05.887886","created_date":"2023-11-29"}