{"id":"https://openalex.org/W3186170836","doi":"https://doi.org/10.1007/s10916-021-01757-0","title":"Application of Big Data and Artificial Intelligence in COVID-19 Prevention, Diagnosis, Treatment and Management Decisions in China","display_name":"Application of Big Data and Artificial Intelligence in COVID-19 Prevention, Diagnosis, Treatment and Management Decisions in China","publication_year":2021,"publication_date":"2021-07-24","ids":{"openalex":"https://openalex.org/W3186170836","doi":"https://doi.org/10.1007/s10916-021-01757-0","mag":"3186170836","pmid":"https://pubmed.ncbi.nlm.nih.gov/34302549"},"language":"en","primary_location":{"id":"doi:10.1007/s10916-021-01757-0","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10916-021-01757-0","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10916-021-01757-0.pdf","source":{"id":"https://openalex.org/S37151855","display_name":"Journal of Medical Systems","issn_l":"0148-5598","issn":["0148-5598","1573-689X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Medical Systems","raw_type":"journal-article"},"type":"review","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s10916-021-01757-0.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5089835891","display_name":"Jiancheng Dong","orcid":"https://orcid.org/0000-0002-9646-2853"},"institutions":[{"id":"https://openalex.org/I4210156804","display_name":"First Affiliated Hospital of Zhengzhou University","ror":"https://ror.org/056swr059","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210156804"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiancheng Dong","raw_affiliation_strings":["Department of Medical Informatics, Medical School of Nantong University, Nantong, China. dongjc@ntu.edu.cn","Medical Big Data Research Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China. dongjc@ntu.edu.cn","Medical Big Data Research Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China"],"affiliations":[{"raw_affiliation_string":"Department of Medical Informatics, Medical School of Nantong University, Nantong, China. dongjc@ntu.edu.cn","institution_ids":[]},{"raw_affiliation_string":"Medical Big Data Research Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China. dongjc@ntu.edu.cn","institution_ids":[]},{"raw_affiliation_string":"Medical Big Data Research Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China","institution_ids":["https://openalex.org/I4210156804"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018794755","display_name":"Huiqun Wu","orcid":"https://orcid.org/0000-0001-5837-6199"},"institutions":[{"id":"https://openalex.org/I199305430","display_name":"Nantong University","ror":"https://ror.org/02afcvw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I199305430"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huiqun Wu","raw_affiliation_strings":["Department of Medical Informatics, Medical School of Nantong University, Nantong, China"],"affiliations":[{"raw_affiliation_string":"Department of Medical Informatics, Medical School of Nantong University, Nantong, China","institution_ids":["https://openalex.org/I199305430"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058217577","display_name":"Dong Zhou","orcid":"https://orcid.org/0000-0001-7101-4125"},"institutions":[{"id":"https://openalex.org/I199305430","display_name":"Nantong University","ror":"https://ror.org/02afcvw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I199305430"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dong Zhou","raw_affiliation_strings":["Department of Medical Informatics, Medical School of Nantong University, Nantong, China"],"affiliations":[{"raw_affiliation_string":"Department of Medical Informatics, Medical School of Nantong University, Nantong, China","institution_ids":["https://openalex.org/I199305430"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091457075","display_name":"Kaixiang Li","orcid":"https://orcid.org/0000-0002-3110-1010"},"institutions":[{"id":"https://openalex.org/I4210156804","display_name":"First Affiliated Hospital of Zhengzhou University","ror":"https://ror.org/056swr059","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210156804"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaixiang Li","raw_affiliation_strings":["Medical Big Data Research Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China"],"affiliations":[{"raw_affiliation_string":"Medical Big Data Research Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China","institution_ids":["https://openalex.org/I4210156804"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052229178","display_name":"Yuanpeng Zhang","orcid":"https://orcid.org/0000-0003-1736-3425"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]},{"id":"https://openalex.org/I199305430","display_name":"Nantong University","ror":"https://ror.org/02afcvw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I199305430"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Yuanpeng Zhang","raw_affiliation_strings":["Department of Health Technology and Informatics, The Hong Kong Polytechnical University, Hong Kong, China","Department of Medical Informatics, Medical School of Nantong University, Nantong, China"],"affiliations":[{"raw_affiliation_string":"Department of Health Technology and Informatics, The Hong Kong Polytechnical University, Hong Kong, China","institution_ids":["https://openalex.org/I14243506"]},{"raw_affiliation_string":"Department of Medical Informatics, Medical School of Nantong University, Nantong, China","institution_ids":["https://openalex.org/I199305430"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029788599","display_name":"Hanzhen Ji","orcid":null},"institutions":[{"id":"https://openalex.org/I4210140121","display_name":"Wuxi Third People's Hospital","ror":"https://ror.org/0421p8j22","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210140121"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hanzhen Ji","raw_affiliation_strings":["The Third Affiliated Hospital of Nantong University, Nantong, China"],"affiliations":[{"raw_affiliation_string":"The Third Affiliated Hospital of Nantong University, Nantong, China","institution_ids":["https://openalex.org/I4210140121"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016715119","display_name":"Zhuang Tong","orcid":"https://orcid.org/0000-0001-7748-9877"},"institutions":[{"id":"https://openalex.org/I4210156804","display_name":"First Affiliated Hospital of Zhengzhou University","ror":"https://ror.org/056swr059","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210156804"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhuang Tong","raw_affiliation_strings":["Medical Big Data Research Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China"],"affiliations":[{"raw_affiliation_string":"Medical Big Data Research Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China","institution_ids":["https://openalex.org/I4210156804"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102414830","display_name":"Shuai Lou","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shuai Lou","raw_affiliation_strings":["Jiangsu Zhongkang Software Co, Ltd, Nantong, China"],"affiliations":[{"raw_affiliation_string":"Jiangsu Zhongkang Software Co, Ltd, Nantong, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070792980","display_name":"Zhangsuo Liu","orcid":"https://orcid.org/0000-0002-2916-8371"},"institutions":[{"id":"https://openalex.org/I4210156804","display_name":"First Affiliated Hospital of Zhengzhou University","ror":"https://ror.org/056swr059","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210156804"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhangsuo Liu","raw_affiliation_strings":["Medical Big Data Research Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China. zhangsuoliu@zzu.edu.cn","Medical Big Data Research Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China"],"affiliations":[{"raw_affiliation_string":"Medical Big Data Research Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China. zhangsuoliu@zzu.edu.cn","institution_ids":[]},{"raw_affiliation_string":"Medical Big Data Research Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China","institution_ids":["https://openalex.org/I4210156804"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5089835891"],"corresponding_institution_ids":["https://openalex.org/I4210156804"],"apc_list":{"value":3390,"currency":"EUR","value_usd":4390},"apc_paid":{"value":3390,"currency":"EUR","value_usd":4390},"fwci":7.0746,"has_fulltext":true,"cited_by_count":72,"citation_normalized_percentile":{"value":0.97717654,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":93,"max":100},"biblio":{"volume":"45","issue":"9","first_page":"84","last_page":"84"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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":0.9839000105857849,"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/T11819","display_name":"Data-Driven Disease Surveillance","score":0.9771000146865845,"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/big-data","display_name":"Big data","score":0.701157808303833},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.5328211188316345},{"id":"https://openalex.org/keywords/infection-control","display_name":"Infection control","score":0.4786019027233124},{"id":"https://openalex.org/keywords/public-health","display_name":"Public health","score":0.44954344630241394},{"id":"https://openalex.org/keywords/pandemic","display_name":"Pandemic","score":0.41118961572647095},{"id":"https://openalex.org/keywords/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.4065883755683899},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35688453912734985},{"id":"https://openalex.org/keywords/risk-analysis","display_name":"Risk analysis (engineering)","score":0.3488335907459259},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.34167712926864624},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.33815693855285645},{"id":"https://openalex.org/keywords/intensive-care-medicine","display_name":"Intensive care medicine","score":0.3304190933704376},{"id":"https://openalex.org/keywords/medical-emergency","display_name":"Medical emergency","score":0.3244807720184326},{"id":"https://openalex.org/keywords/infectious-disease","display_name":"Infectious disease (medical specialty)","score":0.2623583972454071},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.13713234663009644},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.1353079378604889}],"concepts":[{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.701157808303833},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.5328211188316345},{"id":"https://openalex.org/C166888038","wikidata":"https://www.wikidata.org/wiki/Q4118322","display_name":"Infection control","level":2,"score":0.4786019027233124},{"id":"https://openalex.org/C138816342","wikidata":"https://www.wikidata.org/wiki/Q189603","display_name":"Public health","level":2,"score":0.44954344630241394},{"id":"https://openalex.org/C89623803","wikidata":"https://www.wikidata.org/wiki/Q12184","display_name":"Pandemic","level":5,"score":0.41118961572647095},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.4065883755683899},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35688453912734985},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.3488335907459259},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.34167712926864624},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.33815693855285645},{"id":"https://openalex.org/C177713679","wikidata":"https://www.wikidata.org/wiki/Q679690","display_name":"Intensive care medicine","level":1,"score":0.3304190933704376},{"id":"https://openalex.org/C545542383","wikidata":"https://www.wikidata.org/wiki/Q2751242","display_name":"Medical emergency","level":1,"score":0.3244807720184326},{"id":"https://openalex.org/C524204448","wikidata":"https://www.wikidata.org/wiki/Q788926","display_name":"Infectious disease (medical specialty)","level":3,"score":0.2623583972454071},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.13713234663009644},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.1353079378604889}],"mesh":[{"descriptor_ui":"D000077558","descriptor_name":"Big Data","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077558","descriptor_name":"Big Data","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077558","descriptor_name":"Big Data","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077558","descriptor_name":"Big Data","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000086382","descriptor_name":"COVID-19","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000086382","descriptor_name":"COVID-19","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000086382","descriptor_name":"COVID-19","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000086382","descriptor_name":"COVID-19","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000086402","descriptor_name":"SARS-CoV-2","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000086402","descriptor_name":"SARS-CoV-2","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000086402","descriptor_name":"SARS-CoV-2","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000086402","descriptor_name":"SARS-CoV-2","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002681","descriptor_name":"China","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":false},{"descriptor_ui":"D002681","descriptor_name":"China","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":false},{"descriptor_ui":"D002681","descriptor_name":"China","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":false},{"descriptor_ui":"D002681","descriptor_name":"China","qualifier_ui":"Q000453","qualifier_name":"epidemiology","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":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D058873","descriptor_name":"Pandemics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D058873","descriptor_name":"Pandemics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D058873","descriptor_name":"Pandemics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D058873","descriptor_name":"Pandemics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":3,"locations":[{"id":"doi:10.1007/s10916-021-01757-0","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10916-021-01757-0","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10916-021-01757-0.pdf","source":{"id":"https://openalex.org/S37151855","display_name":"Journal of Medical Systems","issn_l":"0148-5598","issn":["0148-5598","1573-689X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Medical Systems","raw_type":"journal-article"},{"id":"pmid:34302549","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34302549","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":"Journal of medical systems","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:8308073","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8308073","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"J Med Syst","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1007/s10916-021-01757-0","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10916-021-01757-0","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10916-021-01757-0.pdf","source":{"id":"https://openalex.org/S37151855","display_name":"Journal of Medical Systems","issn_l":"0148-5598","issn":["0148-5598","1573-689X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Medical Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.8199999928474426,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[{"id":"https://openalex.org/G1121271761","display_name":null,"funder_award_id":"Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2913270172","display_name":null,"funder_award_id":"2018YFC1314900","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4514478576","display_name":null,"funder_award_id":"81971708","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3186170836.pdf","grobid_xml":"https://content.openalex.org/works/W3186170836.grobid-xml"},"referenced_works_count":112,"referenced_works":["https://openalex.org/W138720950","https://openalex.org/W2068181924","https://openalex.org/W2117239687","https://openalex.org/W2294006238","https://openalex.org/W2773765147","https://openalex.org/W2905810301","https://openalex.org/W2911605224","https://openalex.org/W2979042524","https://openalex.org/W2980331895","https://openalex.org/W2984632147","https://openalex.org/W2989817818","https://openalex.org/W2992853034","https://openalex.org/W2998530579","https://openalex.org/W2999293106","https://openalex.org/W3000086280","https://openalex.org/W3000142974","https://openalex.org/W3003217347","https://openalex.org/W3003920946","https://openalex.org/W3004868960","https://openalex.org/W3006394629","https://openalex.org/W3007189521","https://openalex.org/W3007315283","https://openalex.org/W3007886991","https://openalex.org/W3008028633","https://openalex.org/W3008372187","https://openalex.org/W3008573334","https://openalex.org/W3008818676","https://openalex.org/W3008827533","https://openalex.org/W3009352878","https://openalex.org/W3009506200","https://openalex.org/W3009885589","https://openalex.org/W3011149445","https://openalex.org/W3012019387","https://openalex.org/W3012702001","https://openalex.org/W3013042152","https://openalex.org/W3013125498","https://openalex.org/W3013180764","https://openalex.org/W3013617185","https://openalex.org/W3014524604","https://openalex.org/W3014636188","https://openalex.org/W3015523237","https://openalex.org/W3015896889","https://openalex.org/W3016089766","https://openalex.org/W3016137385","https://openalex.org/W3019458316","https://openalex.org/W3020404451","https://openalex.org/W3020653337","https://openalex.org/W3020858038","https://openalex.org/W3021247069","https://openalex.org/W3021598707","https://openalex.org/W3022052039","https://openalex.org/W3023223431","https://openalex.org/W3023230016","https://openalex.org/W3023609288","https://openalex.org/W3024329826","https://openalex.org/W3024763785","https://openalex.org/W3024853795","https://openalex.org/W3025821414","https://openalex.org/W3027024458","https://openalex.org/W3027138240","https://openalex.org/W3027228762","https://openalex.org/W3030727568","https://openalex.org/W3031396671","https://openalex.org/W3033004835","https://openalex.org/W3033328382","https://openalex.org/W3033950875","https://openalex.org/W3033996189","https://openalex.org/W3035916362","https://openalex.org/W3037568261","https://openalex.org/W3038611982","https://openalex.org/W3039593752","https://openalex.org/W3040497931","https://openalex.org/W3040508291","https://openalex.org/W3041007532","https://openalex.org/W3041319886","https://openalex.org/W3041773921","https://openalex.org/W3042100171","https://openalex.org/W3042383115","https://openalex.org/W3042711950","https://openalex.org/W3043554530","https://openalex.org/W3043817377","https://openalex.org/W3043904603","https://openalex.org/W3043957799","https://openalex.org/W3045578670","https://openalex.org/W3046804017","https://openalex.org/W3048446898","https://openalex.org/W3049348882","https://openalex.org/W3078096037","https://openalex.org/W3080608398","https://openalex.org/W3081461364","https://openalex.org/W3082132120","https://openalex.org/W3082150784","https://openalex.org/W3082758886","https://openalex.org/W3084688941","https://openalex.org/W3084881506","https://openalex.org/W3086408717","https://openalex.org/W3087156149","https://openalex.org/W3087747282","https://openalex.org/W3087943134","https://openalex.org/W3091349350","https://openalex.org/W3091803377","https://openalex.org/W3092332057","https://openalex.org/W3097546016","https://openalex.org/W3105436290","https://openalex.org/W3107538751","https://openalex.org/W3108053057","https://openalex.org/W3156121671","https://openalex.org/W3170859950","https://openalex.org/W4205974337","https://openalex.org/W4300246427","https://openalex.org/W6775313018","https://openalex.org/W6979026940"],"related_works":["https://openalex.org/W4390608645","https://openalex.org/W4394895745","https://openalex.org/W4247566972","https://openalex.org/W2960264696","https://openalex.org/W3090563135","https://openalex.org/W2497432351","https://openalex.org/W4206777497","https://openalex.org/W2910064364","https://openalex.org/W4200136508","https://openalex.org/W2499527417"],"abstract_inverted_index":{"COVID-19,":[0],"caused":[1],"by":[2,86],"severe":[3,52],"acute":[4],"respiratory":[5],"syndrome":[6],"coronavirus":[7],"2":[8],"(SARS-CoV-2),":[9],"spread":[10],"rapidly":[11],"and":[12,39,42,57,59,71,75,89,103,128,132,134,139,157,162,173,182,197,199,217,221,227,229,234,244,252,264,285,297,311,330,339],"affected":[13],"most":[14],"of":[15,50,54,63,69,82,105,141,150,154,171,194,204,241,282,295,308,327],"the":[16,30,48,51,60,66,99,113,148,169,192,202,239,247,269,273,277,280,306,318,325,349],"world":[17],"since":[18],"its":[19],"outbreak":[20],"in":[21,44,73,98,178,209,246,255,272,288,301,315,348],"Wuhan,":[22],"China,":[23],"which":[24],"presents":[25],"a":[26],"major":[27],"challenge":[28],"to":[29,123,167,190,200,257,260,267,317,335],"emergency":[31],"response":[32,316],"mechanism":[33],"for":[34],"sudden":[35,142,289,344],"public":[36,290,345],"health":[37,291,346],"events":[38,292,347],"epidemic":[40,55,124],"prevention":[41,56,74,127,138],"control":[43,58,76,140,149],"all":[45],"countries.":[46],"In":[47],"face":[49],"situation":[53],"arduous":[61],"task":[62],"social":[64],"management,":[65],"tremendous":[67],"power":[68],"science":[70],"technology":[72,114,266,332],"has":[77,94,115],"emerged.":[78],"The":[79,137],"new":[80],"generation":[81],"information":[83],"technology,":[84,93],"represented":[85],"big":[87,242,262,283,309,328],"data":[88,161,213,243,263,284,310,329],"artificial":[90],"intelligence":[91],"(AI)":[92],"been":[95],"widely":[96],"used":[97],"prevention,":[100,249,336],"diagnosis,":[101,250,337],"treatment":[102,232,251,338],"management":[104,253,340],"COVID-19":[106,248,274,319],"as":[107],"an":[108,175],"important":[109],"basic":[110],"support.":[111],"Although":[112,276],"developed,":[116],"there":[117],"are":[118,164],"still":[119],"challenges":[120],"with":[121],"respect":[122],"surveillance,":[125],"accurate":[126],"control,":[129],"effective":[130,165],"diagnosis":[131],"treatment,":[133],"timely":[135],"judgement.":[136],"infectious":[143],"diseases":[144],"usually":[145],"depend":[146],"on":[147],"infection":[151,172],"sources,":[152],"interruption":[153],"transmission":[155],"channels":[156],"vaccine":[158,195],"development.":[159],"Big":[160],"AI":[163,206,245,265,286,312,331],"technologies":[166,287],"identify":[168],"source":[170],"have":[174,303],"irreplaceable":[176],"role":[177],"distinguishing":[179],"close":[180],"contacts":[181],"suspicious":[183],"populations.":[184],"Advanced":[185],"computational":[186],"analysis":[187],"is":[188,313],"beneficial":[189],"accelerate":[191],"speed":[193],"research":[196],"development":[198],"improve":[201],"quality":[203],"vaccines.":[205],"provides":[207],"support":[208],"automatically":[210],"processing":[211],"relevant":[212],"from":[214],"medical":[215],"images":[216],"clinical":[218],"features,":[219],"tests":[220],"examination":[222],"findings;":[223],"predicting":[224],"disease":[225],"progression":[226],"prognosis;":[228],"even":[230],"recommending":[231],"plans":[233],"strategies.":[235],"This":[236],"paper":[237],"reviews":[238],"application":[240,281,307,326],"decisions":[254],"China":[256,302],"explain":[258],"how":[259],"apply":[261],"address":[268],"common":[270],"problems":[271],"pandemic.":[275,320],"findings":[278],"regarding":[279,343],"lack":[293],"validation":[294],"repeatability":[296],"universality,":[298],"current":[299],"studies":[300,322],"shown":[304],"that":[305,324],"feasible":[314],"These":[321],"concluded":[323],"can":[333],"contribute":[334],"decision":[341],"making":[342],"future.":[350]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":17},{"year":2024,"cited_by_count":20},{"year":2023,"cited_by_count":16},{"year":2022,"cited_by_count":13},{"year":2021,"cited_by_count":2}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}