Spatiotemporal dynamics of hemorrhagic fever with renal syndrome in Jiangxi province, China
Historically, Jiangxi province has had the largest HFRS burden in China. However, thus far, the comprehensive understanding of the spatiotemporal distributions of HFRS is limited in Jiangxi. In this study, seasonal decomposition analysis, spatial autocorrelation analysis, and space–time scan statist...
Gespeichert in:
| Veröffentlicht in: | Scientific reports 2020-08, Vol.10 (1), p.14291-14291, Article 14291 |
|---|---|
| Hauptverfasser: | , , , , , , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 14291 |
|---|---|
| container_issue | 1 |
| container_start_page | 14291 |
| container_title | Scientific reports |
| container_volume | 10 |
| creator | Yang, Shu Gao, Yuan Liu, Xiaobo Liu, Xiaoqing Liu, Yangqing Metelmann, Soeren Yuan, Chenying Yue, Yujuan Chen, Shengen Liu, Qiyong |
| description | Historically, Jiangxi province has had the largest HFRS burden in China. However, thus far, the comprehensive understanding of the spatiotemporal distributions of HFRS is limited in Jiangxi. In this study, seasonal decomposition analysis, spatial autocorrelation analysis, and space–time scan statistic analyses were performed to detect the spatiotemporal dynamics distribution of HFRS cases from 2005 to 2018 in Jiangxi at the county scale. The epidemic of HFRS showed the characteristic of bi-peak seasonality, the primary peak in winter (November to January) and the second peak in early summer (May to June), and the amplitude and the magnitude of HFRS outbreaks have been increasing. The results of global and local spatial autocorrelation analysis showed that the HFRS epidemic exhibited the characteristic of highly spatially heterogeneous, and Anyi, Fengxin, Yifeng, Shanggao, Jing’an and Gao’an county were hot spots areas. A most likely cluster, and two secondary likely clusters were detected in 14-years duration. The higher risk areas of the HFRS outbreak were mainly located in Jiangxi northern hilly state, spreading to Wuyi mountain hilly state as time advanced. This study provided valuable information for local public health authorities to design and implement effective measures for the control and prevention of HFRS. |
| doi_str_mv | 10.1038/s41598-020-70761-0 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7458912</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2439623527</sourcerecordid><originalsourceid>FETCH-LOGICAL-c532t-96195f328b44e7837a7b03f87230433dfd9d260886e3090ab165b8217c7ef6803</originalsourceid><addsrcrecordid>eNp9kUtv1DAUha0KRKvSP8CissSGBSl-xvYGCY36QpVYACsWlpPcTFxN7GBnpsy_r6dTSmGBN7Z0P597zz0IvaHkjBKuP2RBpdEVYaRSRNW0IgfoiBEhK8YZe_HsfYhOcr4l5UhmBDWv0CFnutZKiyP04-vkZh9nGKeY3Ap32-BG32YcezzAGFMa3NK3uIcNJHzn5wEnCAXM29ClOAL2AX_2Lix_eTyluPGhhfd4MfjgXqOXvVtlOHm8j9H3i_Nvi6vq5svl9eLTTdVKzubK1NTIvozUCAFKc-VUQ3ivFeNEcN71nelYTbSugRNDXENr2WhGVaugrzXhx-jjXndaNyN0LYS5WLFT8qNLWxudt39Xgh_sMm6sElIbyorAu0eBFH-uIc929LmF1coFiOtsmeCmZlwyVdC3_6C3cZ3KQh4orQond4JsT7Up5pygfxqGEruLz-7jsyU--xCf3dk4fW7j6cvvsArA90AupbCE9Kf3f2TvAft1pWo</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2438796252</pqid></control><display><type>article</type><title>Spatiotemporal dynamics of hemorrhagic fever with renal syndrome in Jiangxi province, China</title><source>MEDLINE</source><source>Nature Free</source><source>DOAJ Directory of Open Access Journals</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>PubMed Central</source><source>Alma/SFX Local Collection</source><source>Free Full-Text Journals in Chemistry</source><source>Springer Nature OA Free Journals</source><creator>Yang, Shu ; Gao, Yuan ; Liu, Xiaobo ; Liu, Xiaoqing ; Liu, Yangqing ; Metelmann, Soeren ; Yuan, Chenying ; Yue, Yujuan ; Chen, Shengen ; Liu, Qiyong</creator><creatorcontrib>Yang, Shu ; Gao, Yuan ; Liu, Xiaobo ; Liu, Xiaoqing ; Liu, Yangqing ; Metelmann, Soeren ; Yuan, Chenying ; Yue, Yujuan ; Chen, Shengen ; Liu, Qiyong</creatorcontrib><description>Historically, Jiangxi province has had the largest HFRS burden in China. However, thus far, the comprehensive understanding of the spatiotemporal distributions of HFRS is limited in Jiangxi. In this study, seasonal decomposition analysis, spatial autocorrelation analysis, and space–time scan statistic analyses were performed to detect the spatiotemporal dynamics distribution of HFRS cases from 2005 to 2018 in Jiangxi at the county scale. The epidemic of HFRS showed the characteristic of bi-peak seasonality, the primary peak in winter (November to January) and the second peak in early summer (May to June), and the amplitude and the magnitude of HFRS outbreaks have been increasing. The results of global and local spatial autocorrelation analysis showed that the HFRS epidemic exhibited the characteristic of highly spatially heterogeneous, and Anyi, Fengxin, Yifeng, Shanggao, Jing’an and Gao’an county were hot spots areas. A most likely cluster, and two secondary likely clusters were detected in 14-years duration. The higher risk areas of the HFRS outbreak were mainly located in Jiangxi northern hilly state, spreading to Wuyi mountain hilly state as time advanced. This study provided valuable information for local public health authorities to design and implement effective measures for the control and prevention of HFRS.</description><identifier>ISSN: 2045-2322</identifier><identifier>EISSN: 2045-2322</identifier><identifier>DOI: 10.1038/s41598-020-70761-0</identifier><identifier>PMID: 32868784</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>639/705 ; 692/699 ; 704/172 ; 704/844 ; Adolescent ; Adult ; China - epidemiology ; Cluster Analysis ; Disease control ; Disease hot spots ; Disease prevention ; Epidemics ; Epidemics - statistics & numerical data ; Epidemiology ; Ethics ; Female ; Fever ; Hemorrhage ; Hemorrhagic fever with renal syndrome ; Hemorrhagic Fever with Renal Syndrome - epidemiology ; Humanities and Social Sciences ; Humans ; Infectious diseases ; Laboratories ; Male ; Middle Aged ; multidisciplinary ; Outbreaks ; Public health ; Science ; Science (multidisciplinary) ; Seasonal variations ; Seasons ; Software ; Spatial analysis ; Spatio-Temporal Analysis ; Statistics ; Young Adult</subject><ispartof>Scientific reports, 2020-08, Vol.10 (1), p.14291-14291, Article 14291</ispartof><rights>The Author(s) 2020</rights><rights>The Author(s) 2020. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c532t-96195f328b44e7837a7b03f87230433dfd9d260886e3090ab165b8217c7ef6803</citedby><cites>FETCH-LOGICAL-c532t-96195f328b44e7837a7b03f87230433dfd9d260886e3090ab165b8217c7ef6803</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7458912/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7458912/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,27903,27904,41099,42168,51554,53769,53771</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32868784$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Yang, Shu</creatorcontrib><creatorcontrib>Gao, Yuan</creatorcontrib><creatorcontrib>Liu, Xiaobo</creatorcontrib><creatorcontrib>Liu, Xiaoqing</creatorcontrib><creatorcontrib>Liu, Yangqing</creatorcontrib><creatorcontrib>Metelmann, Soeren</creatorcontrib><creatorcontrib>Yuan, Chenying</creatorcontrib><creatorcontrib>Yue, Yujuan</creatorcontrib><creatorcontrib>Chen, Shengen</creatorcontrib><creatorcontrib>Liu, Qiyong</creatorcontrib><title>Spatiotemporal dynamics of hemorrhagic fever with renal syndrome in Jiangxi province, China</title><title>Scientific reports</title><addtitle>Sci Rep</addtitle><addtitle>Sci Rep</addtitle><description>Historically, Jiangxi province has had the largest HFRS burden in China. However, thus far, the comprehensive understanding of the spatiotemporal distributions of HFRS is limited in Jiangxi. In this study, seasonal decomposition analysis, spatial autocorrelation analysis, and space–time scan statistic analyses were performed to detect the spatiotemporal dynamics distribution of HFRS cases from 2005 to 2018 in Jiangxi at the county scale. The epidemic of HFRS showed the characteristic of bi-peak seasonality, the primary peak in winter (November to January) and the second peak in early summer (May to June), and the amplitude and the magnitude of HFRS outbreaks have been increasing. The results of global and local spatial autocorrelation analysis showed that the HFRS epidemic exhibited the characteristic of highly spatially heterogeneous, and Anyi, Fengxin, Yifeng, Shanggao, Jing’an and Gao’an county were hot spots areas. A most likely cluster, and two secondary likely clusters were detected in 14-years duration. The higher risk areas of the HFRS outbreak were mainly located in Jiangxi northern hilly state, spreading to Wuyi mountain hilly state as time advanced. This study provided valuable information for local public health authorities to design and implement effective measures for the control and prevention of HFRS.</description><subject>639/705</subject><subject>692/699</subject><subject>704/172</subject><subject>704/844</subject><subject>Adolescent</subject><subject>Adult</subject><subject>China - epidemiology</subject><subject>Cluster Analysis</subject><subject>Disease control</subject><subject>Disease hot spots</subject><subject>Disease prevention</subject><subject>Epidemics</subject><subject>Epidemics - statistics & numerical data</subject><subject>Epidemiology</subject><subject>Ethics</subject><subject>Female</subject><subject>Fever</subject><subject>Hemorrhage</subject><subject>Hemorrhagic fever with renal syndrome</subject><subject>Hemorrhagic Fever with Renal Syndrome - epidemiology</subject><subject>Humanities and Social Sciences</subject><subject>Humans</subject><subject>Infectious diseases</subject><subject>Laboratories</subject><subject>Male</subject><subject>Middle Aged</subject><subject>multidisciplinary</subject><subject>Outbreaks</subject><subject>Public health</subject><subject>Science</subject><subject>Science (multidisciplinary)</subject><subject>Seasonal variations</subject><subject>Seasons</subject><subject>Software</subject><subject>Spatial analysis</subject><subject>Spatio-Temporal Analysis</subject><subject>Statistics</subject><subject>Young Adult</subject><issn>2045-2322</issn><issn>2045-2322</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNp9kUtv1DAUha0KRKvSP8CissSGBSl-xvYGCY36QpVYACsWlpPcTFxN7GBnpsy_r6dTSmGBN7Z0P597zz0IvaHkjBKuP2RBpdEVYaRSRNW0IgfoiBEhK8YZe_HsfYhOcr4l5UhmBDWv0CFnutZKiyP04-vkZh9nGKeY3Ap32-BG32YcezzAGFMa3NK3uIcNJHzn5wEnCAXM29ClOAL2AX_2Lix_eTyluPGhhfd4MfjgXqOXvVtlOHm8j9H3i_Nvi6vq5svl9eLTTdVKzubK1NTIvozUCAFKc-VUQ3ivFeNEcN71nelYTbSugRNDXENr2WhGVaugrzXhx-jjXndaNyN0LYS5WLFT8qNLWxudt39Xgh_sMm6sElIbyorAu0eBFH-uIc929LmF1coFiOtsmeCmZlwyVdC3_6C3cZ3KQh4orQond4JsT7Up5pygfxqGEruLz-7jsyU--xCf3dk4fW7j6cvvsArA90AupbCE9Kf3f2TvAft1pWo</recordid><startdate>20200831</startdate><enddate>20200831</enddate><creator>Yang, Shu</creator><creator>Gao, Yuan</creator><creator>Liu, Xiaobo</creator><creator>Liu, Xiaoqing</creator><creator>Liu, Yangqing</creator><creator>Metelmann, Soeren</creator><creator>Yuan, Chenying</creator><creator>Yue, Yujuan</creator><creator>Chen, Shengen</creator><creator>Liu, Qiyong</creator><general>Nature Publishing Group UK</general><general>Nature Publishing Group</general><scope>C6C</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88A</scope><scope>88E</scope><scope>88I</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M2P</scope><scope>M7P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20200831</creationdate><title>Spatiotemporal dynamics of hemorrhagic fever with renal syndrome in Jiangxi province, China</title><author>Yang, Shu ; Gao, Yuan ; Liu, Xiaobo ; Liu, Xiaoqing ; Liu, Yangqing ; Metelmann, Soeren ; Yuan, Chenying ; Yue, Yujuan ; Chen, Shengen ; Liu, Qiyong</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c532t-96195f328b44e7837a7b03f87230433dfd9d260886e3090ab165b8217c7ef6803</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>639/705</topic><topic>692/699</topic><topic>704/172</topic><topic>704/844</topic><topic>Adolescent</topic><topic>Adult</topic><topic>China - epidemiology</topic><topic>Cluster Analysis</topic><topic>Disease control</topic><topic>Disease hot spots</topic><topic>Disease prevention</topic><topic>Epidemics</topic><topic>Epidemics - statistics & numerical data</topic><topic>Epidemiology</topic><topic>Ethics</topic><topic>Female</topic><topic>Fever</topic><topic>Hemorrhage</topic><topic>Hemorrhagic fever with renal syndrome</topic><topic>Hemorrhagic Fever with Renal Syndrome - epidemiology</topic><topic>Humanities and Social Sciences</topic><topic>Humans</topic><topic>Infectious diseases</topic><topic>Laboratories</topic><topic>Male</topic><topic>Middle Aged</topic><topic>multidisciplinary</topic><topic>Outbreaks</topic><topic>Public health</topic><topic>Science</topic><topic>Science (multidisciplinary)</topic><topic>Seasonal variations</topic><topic>Seasons</topic><topic>Software</topic><topic>Spatial analysis</topic><topic>Spatio-Temporal Analysis</topic><topic>Statistics</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Yang, Shu</creatorcontrib><creatorcontrib>Gao, Yuan</creatorcontrib><creatorcontrib>Liu, Xiaobo</creatorcontrib><creatorcontrib>Liu, Xiaoqing</creatorcontrib><creatorcontrib>Liu, Yangqing</creatorcontrib><creatorcontrib>Metelmann, Soeren</creatorcontrib><creatorcontrib>Yuan, Chenying</creatorcontrib><creatorcontrib>Yue, Yujuan</creatorcontrib><creatorcontrib>Chen, Shengen</creatorcontrib><creatorcontrib>Liu, Qiyong</creatorcontrib><collection>Springer Nature OA Free Journals</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Biology Database (Alumni Edition)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Science Database</collection><collection>Biological Science Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Scientific reports</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Yang, Shu</au><au>Gao, Yuan</au><au>Liu, Xiaobo</au><au>Liu, Xiaoqing</au><au>Liu, Yangqing</au><au>Metelmann, Soeren</au><au>Yuan, Chenying</au><au>Yue, Yujuan</au><au>Chen, Shengen</au><au>Liu, Qiyong</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Spatiotemporal dynamics of hemorrhagic fever with renal syndrome in Jiangxi province, China</atitle><jtitle>Scientific reports</jtitle><stitle>Sci Rep</stitle><addtitle>Sci Rep</addtitle><date>2020-08-31</date><risdate>2020</risdate><volume>10</volume><issue>1</issue><spage>14291</spage><epage>14291</epage><pages>14291-14291</pages><artnum>14291</artnum><issn>2045-2322</issn><eissn>2045-2322</eissn><abstract>Historically, Jiangxi province has had the largest HFRS burden in China. However, thus far, the comprehensive understanding of the spatiotemporal distributions of HFRS is limited in Jiangxi. In this study, seasonal decomposition analysis, spatial autocorrelation analysis, and space–time scan statistic analyses were performed to detect the spatiotemporal dynamics distribution of HFRS cases from 2005 to 2018 in Jiangxi at the county scale. The epidemic of HFRS showed the characteristic of bi-peak seasonality, the primary peak in winter (November to January) and the second peak in early summer (May to June), and the amplitude and the magnitude of HFRS outbreaks have been increasing. The results of global and local spatial autocorrelation analysis showed that the HFRS epidemic exhibited the characteristic of highly spatially heterogeneous, and Anyi, Fengxin, Yifeng, Shanggao, Jing’an and Gao’an county were hot spots areas. A most likely cluster, and two secondary likely clusters were detected in 14-years duration. The higher risk areas of the HFRS outbreak were mainly located in Jiangxi northern hilly state, spreading to Wuyi mountain hilly state as time advanced. This study provided valuable information for local public health authorities to design and implement effective measures for the control and prevention of HFRS.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>32868784</pmid><doi>10.1038/s41598-020-70761-0</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 2045-2322 |
| ispartof | Scientific reports, 2020-08, Vol.10 (1), p.14291-14291, Article 14291 |
| issn | 2045-2322 2045-2322 |
| language | eng |
| recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7458912 |
| source | MEDLINE; Nature Free; DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central; Alma/SFX Local Collection; Free Full-Text Journals in Chemistry; Springer Nature OA Free Journals |
| subjects | 639/705 692/699 704/172 704/844 Adolescent Adult China - epidemiology Cluster Analysis Disease control Disease hot spots Disease prevention Epidemics Epidemics - statistics & numerical data Epidemiology Ethics Female Fever Hemorrhage Hemorrhagic fever with renal syndrome Hemorrhagic Fever with Renal Syndrome - epidemiology Humanities and Social Sciences Humans Infectious diseases Laboratories Male Middle Aged multidisciplinary Outbreaks Public health Science Science (multidisciplinary) Seasonal variations Seasons Software Spatial analysis Spatio-Temporal Analysis Statistics Young Adult |
| title | Spatiotemporal dynamics of hemorrhagic fever with renal syndrome in Jiangxi province, China |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-27T07%3A27%3A36IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Spatiotemporal%20dynamics%20of%20hemorrhagic%20fever%20with%20renal%20syndrome%20in%20Jiangxi%20province,%20China&rft.jtitle=Scientific%20reports&rft.au=Yang,%20Shu&rft.date=2020-08-31&rft.volume=10&rft.issue=1&rft.spage=14291&rft.epage=14291&rft.pages=14291-14291&rft.artnum=14291&rft.issn=2045-2322&rft.eissn=2045-2322&rft_id=info:doi/10.1038/s41598-020-70761-0&rft_dat=%3Cproquest_pubme%3E2439623527%3C/proquest_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2438796252&rft_id=info:pmid/32868784&rfr_iscdi=true |