Spatiotemporal transmission dynamics of hemorrhagic fever with renal syndrome in China, 2005-2012
Hemorrhagic fever with renal syndrome (HFRS) is a rodent-borne disease caused by many serotypes of hantaviruses. In China, HFRS has been recognized as a severe public health problem with 90% of the total reported cases in the world. This study describes the spatiotemporal dynamics of HFRS cases in C...
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| Veröffentlicht in: | PLoS neglected tropical diseases 2014-11, Vol.8 (11), p.e3344-e3344 |
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| creator | Zhang, Wen-Yi Wang, Li-Ya Liu, Yun-Xi Yin, Wen-Wu Hu, Wen-Biao Magalhaes, Ricardo J Soares Ding, Fan Sun, Hai-Long Zhou, Hang Li, Shen-Long Haque, Ubydul Tong, Shi-Lu Glass, Gregory E Bi, Peng Clements, Archie C A Liu, Qi-Yong Li, Cheng-Yi |
| description | Hemorrhagic fever with renal syndrome (HFRS) is a rodent-borne disease caused by many serotypes of hantaviruses. In China, HFRS has been recognized as a severe public health problem with 90% of the total reported cases in the world. This study describes the spatiotemporal dynamics of HFRS cases in China and identifies the regions, time, and populations at highest risk, which could help the planning and implementation of key preventative measures.
Data on all reported HFRS cases at the county level from January 2005 to December 2012 were collected from Chinese Center for Disease Control and Prevention. Geographic Information System-based spatiotemporal analyses including Local Indicators of Spatial Association and Kulldorff's space-time scan statistic were performed to detect local high-risk space-time clusters of HFRS in China. In addition, cases from high-risk and low-risk counties were compared to identify significant demographic differences.
A total of 100,868 cases were reported during 2005-2012 in mainland China. There were significant variations in the spatiotemporal dynamics of HFRS. HFRS cases occurred most frequently in June, November, and December. There was a significant positive spatial autocorrelation of HFRS incidence during the study periods, with Moran's I values ranging from 0.46 to 0.56 (P |
| doi_str_mv | 10.1371/journal.pntd.0003344 |
| format | Article |
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Data on all reported HFRS cases at the county level from January 2005 to December 2012 were collected from Chinese Center for Disease Control and Prevention. Geographic Information System-based spatiotemporal analyses including Local Indicators of Spatial Association and Kulldorff's space-time scan statistic were performed to detect local high-risk space-time clusters of HFRS in China. In addition, cases from high-risk and low-risk counties were compared to identify significant demographic differences.
A total of 100,868 cases were reported during 2005-2012 in mainland China. There were significant variations in the spatiotemporal dynamics of HFRS. HFRS cases occurred most frequently in June, November, and December. There was a significant positive spatial autocorrelation of HFRS incidence during the study periods, with Moran's I values ranging from 0.46 to 0.56 (P<0.05). Several distinct HFRS cluster areas were identified, mainly concentrated in northeastern, central, and eastern of China. Compared with cases from low-risk areas, a higher proportion of cases were younger, non-farmer, and floating residents in high-risk counties.
This study identified significant space-time clusters of HFRS in China during 2005-2012 indicating that preventative strategies for HFRS should be particularly focused on the northeastern, central, and eastern of China to achieve the most cost-effective outcomes.</description><identifier>ISSN: 1935-2735</identifier><identifier>ISSN: 1935-2727</identifier><identifier>EISSN: 1935-2735</identifier><identifier>DOI: 10.1371/journal.pntd.0003344</identifier><identifier>PMID: 25412324</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adult ; China - epidemiology ; Cluster Analysis ; Data collection ; Disease control ; Distribution ; Female ; Fever ; Hantaviruses ; Health aspects ; Hemorrhagic fever ; Hemorrhagic Fever with Renal Syndrome - epidemiology ; Hemorrhagic Fever with Renal Syndrome - transmission ; Humans ; Incidence ; Kidney failure ; Male ; Medicine and Health Sciences ; Middle Aged ; Public health ; Spatio-Temporal Analysis ; Studies ; Tropical diseases</subject><ispartof>PLoS neglected tropical diseases, 2014-11, Vol.8 (11), p.e3344-e3344</ispartof><rights>COPYRIGHT 2014 Public Library of Science</rights><rights>2014 Zhang et al 2014 Zhang et al</rights><rights>2014 Public Library of Science. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited: Zhang W-Y, Wang L-Y, Liu Y-X, Yin W-W, Hu W-B, Magalhaes RJS, et al. (2014) Spatiotemporal Transmission Dynamics of Hemorrhagic Fever with Renal Syndrome in China, 2005-2012. PLoS Negl Trop Dis 8(11): e3344. doi:10.1371/journal.pntd.0003344</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c627t-e0e43c3a1f0d0df473341127121d009c471054cc1f6fc99febe6e764db57d41c3</citedby><cites>FETCH-LOGICAL-c627t-e0e43c3a1f0d0df473341127121d009c471054cc1f6fc99febe6e764db57d41c3</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/PMC4239011/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4239011/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2096,2915,23845,27901,27902,53766,53768,79569,79570</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25412324$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Zhang, Wen-Yi</creatorcontrib><creatorcontrib>Wang, Li-Ya</creatorcontrib><creatorcontrib>Liu, Yun-Xi</creatorcontrib><creatorcontrib>Yin, Wen-Wu</creatorcontrib><creatorcontrib>Hu, Wen-Biao</creatorcontrib><creatorcontrib>Magalhaes, Ricardo J Soares</creatorcontrib><creatorcontrib>Ding, Fan</creatorcontrib><creatorcontrib>Sun, Hai-Long</creatorcontrib><creatorcontrib>Zhou, Hang</creatorcontrib><creatorcontrib>Li, Shen-Long</creatorcontrib><creatorcontrib>Haque, Ubydul</creatorcontrib><creatorcontrib>Tong, Shi-Lu</creatorcontrib><creatorcontrib>Glass, Gregory E</creatorcontrib><creatorcontrib>Bi, Peng</creatorcontrib><creatorcontrib>Clements, Archie C A</creatorcontrib><creatorcontrib>Liu, Qi-Yong</creatorcontrib><creatorcontrib>Li, Cheng-Yi</creatorcontrib><title>Spatiotemporal transmission dynamics of hemorrhagic fever with renal syndrome in China, 2005-2012</title><title>PLoS neglected tropical diseases</title><addtitle>PLoS Negl Trop Dis</addtitle><description>Hemorrhagic fever with renal syndrome (HFRS) is a rodent-borne disease caused by many serotypes of hantaviruses. In China, HFRS has been recognized as a severe public health problem with 90% of the total reported cases in the world. This study describes the spatiotemporal dynamics of HFRS cases in China and identifies the regions, time, and populations at highest risk, which could help the planning and implementation of key preventative measures.
Data on all reported HFRS cases at the county level from January 2005 to December 2012 were collected from Chinese Center for Disease Control and Prevention. Geographic Information System-based spatiotemporal analyses including Local Indicators of Spatial Association and Kulldorff's space-time scan statistic were performed to detect local high-risk space-time clusters of HFRS in China. In addition, cases from high-risk and low-risk counties were compared to identify significant demographic differences.
A total of 100,868 cases were reported during 2005-2012 in mainland China. There were significant variations in the spatiotemporal dynamics of HFRS. HFRS cases occurred most frequently in June, November, and December. There was a significant positive spatial autocorrelation of HFRS incidence during the study periods, with Moran's I values ranging from 0.46 to 0.56 (P<0.05). Several distinct HFRS cluster areas were identified, mainly concentrated in northeastern, central, and eastern of China. Compared with cases from low-risk areas, a higher proportion of cases were younger, non-farmer, and floating residents in high-risk counties.
This study identified significant space-time clusters of HFRS in China during 2005-2012 indicating that preventative strategies for HFRS should be particularly focused on the northeastern, central, and eastern of China to achieve the most cost-effective outcomes.</description><subject>Adult</subject><subject>China - epidemiology</subject><subject>Cluster Analysis</subject><subject>Data collection</subject><subject>Disease control</subject><subject>Distribution</subject><subject>Female</subject><subject>Fever</subject><subject>Hantaviruses</subject><subject>Health aspects</subject><subject>Hemorrhagic fever</subject><subject>Hemorrhagic Fever with Renal Syndrome - epidemiology</subject><subject>Hemorrhagic Fever with Renal Syndrome - transmission</subject><subject>Humans</subject><subject>Incidence</subject><subject>Kidney failure</subject><subject>Male</subject><subject>Medicine and Health Sciences</subject><subject>Middle Aged</subject><subject>Public health</subject><subject>Spatio-Temporal Analysis</subject><subject>Studies</subject><subject>Tropical diseases</subject><issn>1935-2735</issn><issn>1935-2727</issn><issn>1935-2735</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>DOA</sourceid><recordid>eNpVkk1vEzEQhlcIRNvAP0BgCaniQILHH-vuBamK-KhUiQNwtrzecdbRrh3sTVH-PQ5Jq-Rky37mnZl3pqreAF0AV_BpHbcpmGGxCVO3oJRyLsSz6hIaLudMcfn85H5RXeW8plQ28gZeVhdMCmCcicvK_NyYyccJx01MZiBTMiGPPmcfA-l2wYzeZhId6XGMKfVm5S1x-ICJ_PVTTxKWGkjehS7FEYkPZNn7YD4SVrLNGQX2qnrhzJDx9fGcVb-_fvm1_D6___Htbnl7P7c1U9McKQpuuQFHO9o5oUo_AEwBg47SxgoFVAprwdXONo3DFmtUtehaqToBls-qdwfdzRCzPrqTNdQ3snQrpCjE3YHoolnrTfKjSTsdjdf_H2JaaZMmbwfUzFhLJWfopBCNVS1ALYWirlW2bnldtD4fs23bETuLoTg3nIme_wTf61V80ILxhgIUgQ9HgRT_bDFPurhucRhMwLjd180ULSbQpqDvD-jKlNJ8cLEo2j2ub3kZMdRNAWfV9QnVoxmmPsdhW6Yb8jkoDqBNMeeE7qlqoHq_Wo_m6f1q6eNqlbC3px0_BT3uEv8H_bPKuA</recordid><startdate>20141101</startdate><enddate>20141101</enddate><creator>Zhang, Wen-Yi</creator><creator>Wang, Li-Ya</creator><creator>Liu, Yun-Xi</creator><creator>Yin, Wen-Wu</creator><creator>Hu, Wen-Biao</creator><creator>Magalhaes, Ricardo J Soares</creator><creator>Ding, Fan</creator><creator>Sun, Hai-Long</creator><creator>Zhou, Hang</creator><creator>Li, Shen-Long</creator><creator>Haque, Ubydul</creator><creator>Tong, Shi-Lu</creator><creator>Glass, Gregory E</creator><creator>Bi, Peng</creator><creator>Clements, Archie C A</creator><creator>Liu, Qi-Yong</creator><creator>Li, Cheng-Yi</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><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>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20141101</creationdate><title>Spatiotemporal transmission dynamics of hemorrhagic fever with renal syndrome in China, 2005-2012</title><author>Zhang, Wen-Yi ; Wang, Li-Ya ; Liu, Yun-Xi ; Yin, Wen-Wu ; Hu, Wen-Biao ; Magalhaes, Ricardo J Soares ; Ding, Fan ; Sun, Hai-Long ; Zhou, Hang ; Li, Shen-Long ; Haque, Ubydul ; Tong, Shi-Lu ; Glass, Gregory E ; Bi, Peng ; Clements, Archie C A ; Liu, Qi-Yong ; Li, Cheng-Yi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c627t-e0e43c3a1f0d0df473341127121d009c471054cc1f6fc99febe6e764db57d41c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Adult</topic><topic>China - epidemiology</topic><topic>Cluster Analysis</topic><topic>Data collection</topic><topic>Disease control</topic><topic>Distribution</topic><topic>Female</topic><topic>Fever</topic><topic>Hantaviruses</topic><topic>Health aspects</topic><topic>Hemorrhagic fever</topic><topic>Hemorrhagic Fever with Renal Syndrome - epidemiology</topic><topic>Hemorrhagic Fever with Renal Syndrome - transmission</topic><topic>Humans</topic><topic>Incidence</topic><topic>Kidney failure</topic><topic>Male</topic><topic>Medicine and Health Sciences</topic><topic>Middle Aged</topic><topic>Public health</topic><topic>Spatio-Temporal Analysis</topic><topic>Studies</topic><topic>Tropical diseases</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhang, Wen-Yi</creatorcontrib><creatorcontrib>Wang, Li-Ya</creatorcontrib><creatorcontrib>Liu, Yun-Xi</creatorcontrib><creatorcontrib>Yin, Wen-Wu</creatorcontrib><creatorcontrib>Hu, Wen-Biao</creatorcontrib><creatorcontrib>Magalhaes, Ricardo J Soares</creatorcontrib><creatorcontrib>Ding, Fan</creatorcontrib><creatorcontrib>Sun, Hai-Long</creatorcontrib><creatorcontrib>Zhou, Hang</creatorcontrib><creatorcontrib>Li, Shen-Long</creatorcontrib><creatorcontrib>Haque, Ubydul</creatorcontrib><creatorcontrib>Tong, Shi-Lu</creatorcontrib><creatorcontrib>Glass, Gregory E</creatorcontrib><creatorcontrib>Bi, Peng</creatorcontrib><creatorcontrib>Clements, Archie C A</creatorcontrib><creatorcontrib>Liu, Qi-Yong</creatorcontrib><creatorcontrib>Li, Cheng-Yi</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PLoS neglected tropical diseases</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhang, Wen-Yi</au><au>Wang, Li-Ya</au><au>Liu, Yun-Xi</au><au>Yin, Wen-Wu</au><au>Hu, Wen-Biao</au><au>Magalhaes, Ricardo J Soares</au><au>Ding, Fan</au><au>Sun, Hai-Long</au><au>Zhou, Hang</au><au>Li, Shen-Long</au><au>Haque, Ubydul</au><au>Tong, Shi-Lu</au><au>Glass, Gregory E</au><au>Bi, Peng</au><au>Clements, Archie C A</au><au>Liu, Qi-Yong</au><au>Li, Cheng-Yi</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Spatiotemporal transmission dynamics of hemorrhagic fever with renal syndrome in China, 2005-2012</atitle><jtitle>PLoS neglected tropical diseases</jtitle><addtitle>PLoS Negl Trop Dis</addtitle><date>2014-11-01</date><risdate>2014</risdate><volume>8</volume><issue>11</issue><spage>e3344</spage><epage>e3344</epage><pages>e3344-e3344</pages><issn>1935-2735</issn><issn>1935-2727</issn><eissn>1935-2735</eissn><abstract>Hemorrhagic fever with renal syndrome (HFRS) is a rodent-borne disease caused by many serotypes of hantaviruses. In China, HFRS has been recognized as a severe public health problem with 90% of the total reported cases in the world. This study describes the spatiotemporal dynamics of HFRS cases in China and identifies the regions, time, and populations at highest risk, which could help the planning and implementation of key preventative measures.
Data on all reported HFRS cases at the county level from January 2005 to December 2012 were collected from Chinese Center for Disease Control and Prevention. Geographic Information System-based spatiotemporal analyses including Local Indicators of Spatial Association and Kulldorff's space-time scan statistic were performed to detect local high-risk space-time clusters of HFRS in China. In addition, cases from high-risk and low-risk counties were compared to identify significant demographic differences.
A total of 100,868 cases were reported during 2005-2012 in mainland China. There were significant variations in the spatiotemporal dynamics of HFRS. HFRS cases occurred most frequently in June, November, and December. There was a significant positive spatial autocorrelation of HFRS incidence during the study periods, with Moran's I values ranging from 0.46 to 0.56 (P<0.05). Several distinct HFRS cluster areas were identified, mainly concentrated in northeastern, central, and eastern of China. Compared with cases from low-risk areas, a higher proportion of cases were younger, non-farmer, and floating residents in high-risk counties.
This study identified significant space-time clusters of HFRS in China during 2005-2012 indicating that preventative strategies for HFRS should be particularly focused on the northeastern, central, and eastern of China to achieve the most cost-effective outcomes.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>25412324</pmid><doi>10.1371/journal.pntd.0003344</doi><oa>free_for_read</oa></addata></record> |
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| subjects | Adult China - epidemiology Cluster Analysis Data collection Disease control Distribution Female Fever Hantaviruses Health aspects Hemorrhagic fever Hemorrhagic Fever with Renal Syndrome - epidemiology Hemorrhagic Fever with Renal Syndrome - transmission Humans Incidence Kidney failure Male Medicine and Health Sciences Middle Aged Public health Spatio-Temporal Analysis Studies Tropical diseases |
| title | Spatiotemporal transmission dynamics of hemorrhagic fever with renal syndrome in China, 2005-2012 |
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