Phase-adjusted estimation of the number of Coronavirus Disease 2019 cases in Wuhan, China.
Identifieur interne : 000280 ( PubMed/Corpus ); précédent : 000279; suivant : 000281Phase-adjusted estimation of the number of Coronavirus Disease 2019 cases in Wuhan, China.
Auteurs : Huwen Wang ; Zezhou Wang ; Yinqiao Dong ; Ruijie Chang ; Chen Xu ; Xiaoyue Yu ; Shuxian Zhang ; Lhakpa Tsamlag ; Meili Shang ; Jinyan Huang ; Ying Wang ; Gang Xu ; Tian Shen ; Xinxin Zhang ; Yong CaiSource :
- Cell discovery [ 2056-5968 ] ; 2020.
Abstract
An outbreak of clusters of viral pneumonia due to a novel coronavirus (2019-nCoV/SARS-CoV-2) happened in Wuhan, Hubei Province in China in December 2019. Since the outbreak, several groups reported estimated R0 of Coronavirus Disease 2019 (COVID-19) and generated valuable prediction for the early phase of this outbreak. After implementation of strict prevention and control measures in China, new estimation is needed. An infectious disease dynamics SEIR (Susceptible, Exposed, Infectious, and Removed) model was applied to estimate the epidemic trend in Wuhan, China under two assumptions of Rt . In the first assumption, Rt was assumed to maintain over 1. The estimated number of infections would continue to increase throughout February without any indication of dropping with Rt = 1.9, 2.6, or 3.1. The number of infections would reach 11,044, 70,258, and 227,989, respectively, by 29 February 2020. In the second assumption, Rt was assumed to gradually decrease at different phases from high level of transmission (Rt = 3.1, 2.6, and 1.9) to below 1 (Rt = 0.9 or 0.5) owing to increasingly implemented public health intervention. Several phases were divided by the dates when various levels of prevention and control measures were taken in effect in Wuhan. The estimated number of infections would reach the peak in late February, which is 58,077-84,520 or 55,869-81,393. Whether or not the peak of the number of infections would occur in February 2020 may be an important index for evaluating the sufficiency of the current measures taken in China. Regardless of the occurrence of the peak, the currently strict measures in Wuhan should be continuously implemented and necessary strict public health measures should be applied in other locations in China with high number of COVID-19 cases, in order to reduce Rt to an ideal level and control the infection.
DOI: 10.1038/s41421-020-0148-0
PubMed: 32133152
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<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Phase-adjusted estimation of the number of Coronavirus Disease 2019 cases in Wuhan, China.</title><author><name sortKey="Wang, Huwen" sort="Wang, Huwen" uniqKey="Wang H" first="Huwen" last="Wang">Huwen Wang</name><affiliation><nlm:affiliation>1School of Public Health, Shanghai Jiao Tong University School of Medicine, 200025 Shanghai, China.</nlm:affiliation></affiliation></author><author><name sortKey="Wang, Zezhou" sort="Wang, Zezhou" uniqKey="Wang Z" first="Zezhou" last="Wang">Zezhou Wang</name><affiliation><nlm:affiliation>Department of Cancer Prevention, Shanghai Cancer Center, Fudan University, 200032 Shanghai, China.</nlm:affiliation></affiliation></author><author><name sortKey="Dong, Yinqiao" sort="Dong, Yinqiao" uniqKey="Dong Y" first="Yinqiao" last="Dong">Yinqiao Dong</name><affiliation><nlm:affiliation>4Department of Environmental and Occupational Health, School of Public Health, China Medical University, 110122 Shenyang, China.</nlm:affiliation></affiliation></author><author><name sortKey="Chang, Ruijie" sort="Chang, Ruijie" uniqKey="Chang R" first="Ruijie" last="Chang">Ruijie Chang</name><affiliation><nlm:affiliation>1School of Public Health, Shanghai Jiao Tong University School of Medicine, 200025 Shanghai, China.</nlm:affiliation></affiliation></author><author><name sortKey="Xu, Chen" sort="Xu, Chen" uniqKey="Xu C" first="Chen" last="Xu">Chen Xu</name><affiliation><nlm:affiliation>1School of Public Health, Shanghai Jiao Tong University School of Medicine, 200025 Shanghai, China.</nlm:affiliation></affiliation></author><author><name sortKey="Yu, Xiaoyue" sort="Yu, Xiaoyue" uniqKey="Yu X" first="Xiaoyue" last="Yu">Xiaoyue Yu</name><affiliation><nlm:affiliation>1School of Public Health, Shanghai Jiao Tong University School of Medicine, 200025 Shanghai, China.</nlm:affiliation></affiliation></author><author><name sortKey="Zhang, Shuxian" sort="Zhang, Shuxian" uniqKey="Zhang S" first="Shuxian" last="Zhang">Shuxian Zhang</name><affiliation><nlm:affiliation>1School of Public Health, Shanghai Jiao Tong University School of Medicine, 200025 Shanghai, China.</nlm:affiliation></affiliation></author><author><name sortKey="Tsamlag, Lhakpa" sort="Tsamlag, Lhakpa" uniqKey="Tsamlag L" first="Lhakpa" last="Tsamlag">Lhakpa Tsamlag</name><affiliation><nlm:affiliation>1School of Public Health, Shanghai Jiao Tong University School of Medicine, 200025 Shanghai, China.</nlm:affiliation></affiliation></author><author><name sortKey="Shang, Meili" sort="Shang, Meili" uniqKey="Shang M" first="Meili" last="Shang">Meili Shang</name><affiliation><nlm:affiliation>Sanlin Community Health Service Center, 200124 Shanghai, China.</nlm:affiliation></affiliation></author><author><name sortKey="Huang, Jinyan" sort="Huang, Jinyan" uniqKey="Huang J" first="Jinyan" last="Huang">Jinyan Huang</name><affiliation><nlm:affiliation>6State Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, National Research Center for Translational Medicine (Shanghai), Rui-Jin Hospital, Shanghai Jiao Tong University School of Medicine, 200025 Shanghai, China.</nlm:affiliation></affiliation></author><author><name sortKey="Wang, Ying" sort="Wang, Ying" uniqKey="Wang Y" first="Ying" last="Wang">Ying Wang</name><affiliation><nlm:affiliation>1School of Public Health, Shanghai Jiao Tong University School of Medicine, 200025 Shanghai, China.</nlm:affiliation></affiliation></author><author><name sortKey="Xu, Gang" sort="Xu, Gang" uniqKey="Xu G" first="Gang" last="Xu">Gang Xu</name><affiliation><nlm:affiliation>1School of Public Health, Shanghai Jiao Tong University School of Medicine, 200025 Shanghai, China.</nlm:affiliation></affiliation></author><author><name sortKey="Shen, Tian" sort="Shen, Tian" uniqKey="Shen T" first="Tian" last="Shen">Tian Shen</name><affiliation><nlm:affiliation>1School of Public Health, Shanghai Jiao Tong University School of Medicine, 200025 Shanghai, China.</nlm:affiliation></affiliation></author><author><name sortKey="Zhang, Xinxin" sort="Zhang, Xinxin" uniqKey="Zhang X" first="Xinxin" last="Zhang">Xinxin Zhang</name><affiliation><nlm:affiliation>7Research Laboratory of Clinical Virology, National Research Center for Translational Medicine (Shanghai), Rui-Jin Hospital, and Rui-Jin Hospital North, Shanghai Jiao Tong University School of Medicine, 200025 Shanghai, China.</nlm:affiliation></affiliation></author><author><name sortKey="Cai, Yong" sort="Cai, Yong" uniqKey="Cai Y" first="Yong" last="Cai">Yong Cai</name><affiliation><nlm:affiliation>1School of Public Health, Shanghai Jiao Tong University School of Medicine, 200025 Shanghai, China.</nlm:affiliation></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2020">2020</date><idno type="RBID">pubmed:32133152</idno><idno type="pmid">32133152</idno><idno type="doi">10.1038/s41421-020-0148-0</idno><idno 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last="Dong">Yinqiao Dong</name><affiliation><nlm:affiliation>4Department of Environmental and Occupational Health, School of Public Health, China Medical University, 110122 Shenyang, China.</nlm:affiliation></affiliation></author><author><name sortKey="Chang, Ruijie" sort="Chang, Ruijie" uniqKey="Chang R" first="Ruijie" last="Chang">Ruijie Chang</name><affiliation><nlm:affiliation>1School of Public Health, Shanghai Jiao Tong University School of Medicine, 200025 Shanghai, China.</nlm:affiliation></affiliation></author><author><name sortKey="Xu, Chen" sort="Xu, Chen" uniqKey="Xu C" first="Chen" last="Xu">Chen Xu</name><affiliation><nlm:affiliation>1School of Public Health, Shanghai Jiao Tong University School of Medicine, 200025 Shanghai, China.</nlm:affiliation></affiliation></author><author><name sortKey="Yu, Xiaoyue" sort="Yu, Xiaoyue" uniqKey="Yu X" first="Xiaoyue" last="Yu">Xiaoyue Yu</name><affiliation><nlm:affiliation>1School of Public Health, Shanghai Jiao Tong University School of Medicine, 200025 Shanghai, China.</nlm:affiliation></affiliation></author><author><name sortKey="Zhang, Shuxian" sort="Zhang, Shuxian" uniqKey="Zhang S" first="Shuxian" last="Zhang">Shuxian Zhang</name><affiliation><nlm:affiliation>1School of Public Health, Shanghai Jiao Tong University School of Medicine, 200025 Shanghai, China.</nlm:affiliation></affiliation></author><author><name sortKey="Tsamlag, Lhakpa" sort="Tsamlag, Lhakpa" uniqKey="Tsamlag L" first="Lhakpa" last="Tsamlag">Lhakpa Tsamlag</name><affiliation><nlm:affiliation>1School of Public Health, Shanghai Jiao Tong University School of Medicine, 200025 Shanghai, China.</nlm:affiliation></affiliation></author><author><name sortKey="Shang, Meili" sort="Shang, Meili" uniqKey="Shang M" first="Meili" last="Shang">Meili Shang</name><affiliation><nlm:affiliation>Sanlin Community Health Service Center, 200124 Shanghai, China.</nlm:affiliation></affiliation></author><author><name sortKey="Huang, Jinyan" sort="Huang, Jinyan" uniqKey="Huang J" first="Jinyan" last="Huang">Jinyan Huang</name><affiliation><nlm:affiliation>6State Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, National Research Center for Translational Medicine (Shanghai), Rui-Jin Hospital, Shanghai Jiao Tong University School of Medicine, 200025 Shanghai, China.</nlm:affiliation></affiliation></author><author><name sortKey="Wang, Ying" sort="Wang, Ying" uniqKey="Wang Y" first="Ying" last="Wang">Ying Wang</name><affiliation><nlm:affiliation>1School of Public Health, Shanghai Jiao Tong University School of Medicine, 200025 Shanghai, China.</nlm:affiliation></affiliation></author><author><name sortKey="Xu, Gang" sort="Xu, Gang" uniqKey="Xu G" first="Gang" last="Xu">Gang Xu</name><affiliation><nlm:affiliation>1School of Public Health, Shanghai Jiao Tong University School of Medicine, 200025 Shanghai, China.</nlm:affiliation></affiliation></author><author><name sortKey="Shen, Tian" sort="Shen, Tian" uniqKey="Shen T" first="Tian" last="Shen">Tian Shen</name><affiliation><nlm:affiliation>1School of Public Health, Shanghai Jiao Tong University School of Medicine, 200025 Shanghai, China.</nlm:affiliation></affiliation></author><author><name sortKey="Zhang, Xinxin" sort="Zhang, Xinxin" uniqKey="Zhang X" first="Xinxin" last="Zhang">Xinxin Zhang</name><affiliation><nlm:affiliation>7Research Laboratory of Clinical Virology, National Research Center for Translational Medicine (Shanghai), Rui-Jin Hospital, and Rui-Jin Hospital North, Shanghai Jiao Tong University School of Medicine, 200025 Shanghai, China.</nlm:affiliation></affiliation></author><author><name sortKey="Cai, Yong" sort="Cai, Yong" uniqKey="Cai Y" first="Yong" last="Cai">Yong Cai</name><affiliation><nlm:affiliation>1School of Public Health, Shanghai Jiao Tong University School of Medicine, 200025 Shanghai, China.</nlm:affiliation></affiliation></author></analytic><series><title level="j">Cell discovery</title><idno type="ISSN">2056-5968</idno><imprint><date when="2020" type="published">2020</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">An outbreak of clusters of viral pneumonia due to a novel coronavirus (2019-nCoV/SARS-CoV-2) happened in Wuhan, Hubei Province in China in December 2019. Since the outbreak, several groups reported estimated <i>R</i><sub>0</sub> of Coronavirus Disease 2019 (COVID-19) and generated valuable prediction for the early phase of this outbreak. After implementation of strict prevention and control measures in China, new estimation is needed. An infectious disease dynamics SEIR (Susceptible, Exposed, Infectious, and Removed) model was applied to estimate the epidemic trend in Wuhan, China under two assumptions of <i>R</i><sub><i>t</i></sub> . In the first assumption, <i>R</i><sub><i>t</i></sub> was assumed to maintain over 1. The estimated number of infections would continue to increase throughout February without any indication of dropping with <i>R</i><sub><i>t</i></sub> = 1.9, 2.6, or 3.1. The number of infections would reach 11,044, 70,258, and 227,989, respectively, by 29 February 2020. In the second assumption, <i>R</i><sub><i>t</i></sub> was assumed to gradually decrease at different phases from high level of transmission (<i>R</i><sub><i>t</i></sub> = 3.1, 2.6, and 1.9) to below 1 (<i>R</i><sub><i>t</i></sub> = 0.9 or 0.5) owing to increasingly implemented public health intervention. Several phases were divided by the dates when various levels of prevention and control measures were taken in effect in Wuhan. The estimated number of infections would reach the peak in late February, which is 58,077-84,520 or 55,869-81,393. Whether or not the peak of the number of infections would occur in February 2020 may be an important index for evaluating the sufficiency of the current measures taken in China. Regardless of the occurrence of the peak, the currently strict measures in Wuhan should be continuously implemented and necessary strict public health measures should be applied in other locations in China with high number of COVID-19 cases, in order to reduce <i>R</i><sub><i>t</i></sub> to an ideal level and control the infection.</div></front></TEI><pubmed><MedlineCitation Status="PubMed-not-MEDLINE" Owner="NLM"><PMID Version="1">32133152</PMID><DateRevised><Year>2020</Year><Month>03</Month><Day>08</Day></DateRevised><Article PubModel="Electronic-eCollection"><Journal><ISSN IssnType="Print">2056-5968</ISSN><JournalIssue CitedMedium="Print"><Volume>6</Volume><PubDate><Year>2020</Year></PubDate></JournalIssue><Title>Cell discovery</Title><ISOAbbreviation>Cell Discov</ISOAbbreviation></Journal><ArticleTitle>Phase-adjusted estimation of the number of Coronavirus Disease 2019 cases in Wuhan, China.</ArticleTitle><Pagination><MedlinePgn>10</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1038/s41421-020-0148-0</ELocationID><Abstract><AbstractText>An outbreak of clusters of viral pneumonia due to a novel coronavirus (2019-nCoV/SARS-CoV-2) happened in Wuhan, Hubei Province in China in December 2019. Since the outbreak, several groups reported estimated <i>R</i><sub>0</sub> of Coronavirus Disease 2019 (COVID-19) and generated valuable prediction for the early phase of this outbreak. After implementation of strict prevention and control measures in China, new estimation is needed. An infectious disease dynamics SEIR (Susceptible, Exposed, Infectious, and Removed) model was applied to estimate the epidemic trend in Wuhan, China under two assumptions of <i>R</i><sub><i>t</i></sub> . In the first assumption, <i>R</i><sub><i>t</i></sub> was assumed to maintain over 1. The estimated number of infections would continue to increase throughout February without any indication of dropping with <i>R</i><sub><i>t</i></sub> = 1.9, 2.6, or 3.1. The number of infections would reach 11,044, 70,258, and 227,989, respectively, by 29 February 2020. In the second assumption, <i>R</i><sub><i>t</i></sub> was assumed to gradually decrease at different phases from high level of transmission (<i>R</i><sub><i>t</i></sub> = 3.1, 2.6, and 1.9) to below 1 (<i>R</i><sub><i>t</i></sub> = 0.9 or 0.5) owing to increasingly implemented public health intervention. Several phases were divided by the dates when various levels of prevention and control measures were taken in effect in Wuhan. The estimated number of infections would reach the peak in late February, which is 58,077-84,520 or 55,869-81,393. Whether or not the peak of the number of infections would occur in February 2020 may be an important index for evaluating the sufficiency of the current measures taken in China. Regardless of the occurrence of the peak, the currently strict measures in Wuhan should be continuously implemented and necessary strict public health measures should be applied in other locations in China with high number of COVID-19 cases, in order to reduce <i>R</i><sub><i>t</i></sub> to an ideal level and control the infection.</AbstractText><CopyrightInformation>© The Author(s) 2020.</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y" EqualContrib="Y"><LastName>Wang</LastName><ForeName>Huwen</ForeName><Initials>H</Initials><AffiliationInfo><Affiliation>1School of Public Health, Shanghai Jiao Tong University School of Medicine, 200025 Shanghai, China.</Affiliation><Identifier Source="ISNI">0000 0004 0368 8293</Identifier><Identifier Source="GRID">grid.16821.3c</Identifier></AffiliationInfo></Author><Author ValidYN="Y" EqualContrib="Y"><LastName>Wang</LastName><ForeName>Zezhou</ForeName><Initials>Z</Initials><AffiliationInfo><Affiliation>Department of Cancer Prevention, Shanghai Cancer Center, Fudan University, 200032 Shanghai, China.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>3Department of Oncology, Shanghai Medical College, Fudan University, 200032 Shanghai, China.</Affiliation><Identifier Source="ISNI">0000 0004 0619 8943</Identifier><Identifier Source="GRID">grid.11841.3d</Identifier></AffiliationInfo></Author><Author ValidYN="Y" EqualContrib="Y"><LastName>Dong</LastName><ForeName>Yinqiao</ForeName><Initials>Y</Initials><AffiliationInfo><Affiliation>4Department of Environmental and Occupational Health, School of Public Health, China Medical University, 110122 Shenyang, China.</Affiliation><Identifier Source="ISNI">0000 0000 9678 1884</Identifier><Identifier Source="GRID">grid.412449.e</Identifier></AffiliationInfo></Author><Author ValidYN="Y" EqualContrib="Y"><LastName>Chang</LastName><ForeName>Ruijie</ForeName><Initials>R</Initials><AffiliationInfo><Affiliation>1School of Public Health, Shanghai Jiao Tong University School of Medicine, 200025 Shanghai, China.</Affiliation><Identifier Source="ISNI">0000 0004 0368 8293</Identifier><Identifier Source="GRID">grid.16821.3c</Identifier></AffiliationInfo></Author><Author ValidYN="Y" EqualContrib="Y"><LastName>Xu</LastName><ForeName>Chen</ForeName><Initials>C</Initials><AffiliationInfo><Affiliation>1School of Public Health, Shanghai Jiao Tong University School of Medicine, 200025 Shanghai, China.</Affiliation><Identifier Source="ISNI">0000 0004 0368 8293</Identifier><Identifier Source="GRID">grid.16821.3c</Identifier></AffiliationInfo></Author><Author ValidYN="Y" EqualContrib="Y"><LastName>Yu</LastName><ForeName>Xiaoyue</ForeName><Initials>X</Initials><AffiliationInfo><Affiliation>1School of Public Health, Shanghai Jiao Tong University School of Medicine, 200025 Shanghai, China.</Affiliation><Identifier Source="ISNI">0000 0004 0368 8293</Identifier><Identifier Source="GRID">grid.16821.3c</Identifier></AffiliationInfo></Author><Author ValidYN="Y" EqualContrib="Y"><LastName>Zhang</LastName><ForeName>Shuxian</ForeName><Initials>S</Initials><AffiliationInfo><Affiliation>1School of Public Health, Shanghai Jiao Tong University School of Medicine, 200025 Shanghai, China.</Affiliation><Identifier Source="ISNI">0000 0004 0368 8293</Identifier><Identifier Source="GRID">grid.16821.3c</Identifier></AffiliationInfo></Author><Author ValidYN="Y" EqualContrib="Y"><LastName>Tsamlag</LastName><ForeName>Lhakpa</ForeName><Initials>L</Initials><AffiliationInfo><Affiliation>1School of Public Health, Shanghai Jiao Tong University School of Medicine, 200025 Shanghai, China.</Affiliation><Identifier Source="ISNI">0000 0004 0368 8293</Identifier><Identifier Source="GRID">grid.16821.3c</Identifier></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Shang</LastName><ForeName>Meili</ForeName><Initials>M</Initials><AffiliationInfo><Affiliation>Sanlin Community Health Service Center, 200124 Shanghai, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Huang</LastName><ForeName>Jinyan</ForeName><Initials>J</Initials><AffiliationInfo><Affiliation>6State Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, National Research Center for Translational Medicine (Shanghai), Rui-Jin Hospital, Shanghai Jiao Tong University School of Medicine, 200025 Shanghai, China.</Affiliation><Identifier Source="ISNI">0000 0004 0368 8293</Identifier><Identifier Source="GRID">grid.16821.3c</Identifier></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Wang</LastName><ForeName>Ying</ForeName><Initials>Y</Initials><AffiliationInfo><Affiliation>1School of Public Health, Shanghai Jiao Tong University School of Medicine, 200025 Shanghai, China.</Affiliation><Identifier Source="ISNI">0000 0004 0368 8293</Identifier><Identifier Source="GRID">grid.16821.3c</Identifier></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Xu</LastName><ForeName>Gang</ForeName><Initials>G</Initials><AffiliationInfo><Affiliation>1School of Public Health, Shanghai Jiao Tong University School of Medicine, 200025 Shanghai, China.</Affiliation><Identifier Source="ISNI">0000 0004 0368 8293</Identifier><Identifier Source="GRID">grid.16821.3c</Identifier></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Shen</LastName><ForeName>Tian</ForeName><Initials>T</Initials><AffiliationInfo><Affiliation>1School of Public Health, Shanghai Jiao Tong University School of Medicine, 200025 Shanghai, China.</Affiliation><Identifier Source="ISNI">0000 0004 0368 8293</Identifier><Identifier Source="GRID">grid.16821.3c</Identifier></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Zhang</LastName><ForeName>Xinxin</ForeName><Initials>X</Initials><AffiliationInfo><Affiliation>7Research Laboratory of Clinical Virology, National Research Center for Translational Medicine (Shanghai), Rui-Jin Hospital, and Rui-Jin Hospital North, Shanghai Jiao Tong University School of Medicine, 200025 Shanghai, China.</Affiliation><Identifier Source="ISNI">0000 0004 0368 8293</Identifier><Identifier Source="GRID">grid.16821.3c</Identifier></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Cai</LastName><ForeName>Yong</ForeName><Initials>Y</Initials><AffiliationInfo><Affiliation>1School of Public Health, Shanghai Jiao Tong University School of Medicine, 200025 Shanghai, China.</Affiliation><Identifier Source="ISNI">0000 0004 0368 8293</Identifier><Identifier Source="GRID">grid.16821.3c</Identifier></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2020</Year><Month>02</Month><Day>24</Day></ArticleDate></Article><MedlineJournalInfo><Country>England</Country><MedlineTA>Cell Discov</MedlineTA><NlmUniqueID>101661034</NlmUniqueID><ISSNLinking>2056-5968</ISSNLinking></MedlineJournalInfo><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">Autoimmunity</Keyword><Keyword MajorTopicYN="N">Immunology</Keyword></KeywordList><CoiStatement>Conflict of interestThe authors declare that they have no conflict of interest.</CoiStatement></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2020</Year><Month>02</Month><Day>12</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2020</Year><Month>02</Month><Day>17</Day></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2020</Year><Month>3</Month><Day>6</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2020</Year><Month>3</Month><Day>7</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate 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