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Rapid increase of scrub typhus: an epidemiology and spatial-temporal cluster analysis in Guangzhou City, Southern China, 2006-2012
Scrub typhus has been increasingly reported in Southern China, and public health authorities are concerned about its increased incidence. Additionally, little evidence is available on the epidemiology of scrub typhus in Southern China. This study aims to analyze the epidemiological and geographic fe...
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Published in: | PloS one 2014-07, Vol.9 (7), p.e101976-e101976 |
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description | Scrub typhus has been increasingly reported in Southern China, and public health authorities are concerned about its increased incidence. Additionally, little evidence is available on the epidemiology of scrub typhus in Southern China. This study aims to analyze the epidemiological and geographic features of ST in Guangzhou City, Southern China, to guide the future prevention efforts.
Scrub typhus surveillance data in Guangzhou City during 2006-2012 were obtained from the Chinese National Communicable Disease Surveillance Network. We first conducted a descriptive analysis to analyze the epidemiological features of scrub typhus. Then we used space-time scan statistic based on a discrete Poisson model to detect and evaluate high-risk spatial-temporal clusters of scrub typhus.
There were 4,001 cases of scrub typhus in Guangzhou City during the study period. The incidence of scrub typhus increased from 3.29 per 100,000 in 2006 to 9.85 per 100,000 in 2012. A summer peak was observed in June and July with a second peak in September and October except year 2009 and 2011. The majority of the cases (71.4%) were among persons aged ≥40 years, and female incidence was higher than male incidence in persons ≥50 years. In the space-time analysis, high-risk clusters were concentrated in rural areas in Guangzhou City. Over the past 7 years, Haizhu District, an urban area, was found to be a high-risk cluster for the first time in 2012.
The resurgence of scrub typhus epidemics in Guangzhou population in 2012 necessitates more effective measures for minimizing future epidemics. Consideration of high-risk population and historical spatial-temporal clusters may help prevent scrub typhus. The risk of scrub typhus in urban areas should not be neglected and needs more attention from public health authorities. |
doi_str_mv | 10.1371/journal.pone.0101976 |
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Scrub typhus surveillance data in Guangzhou City during 2006-2012 were obtained from the Chinese National Communicable Disease Surveillance Network. We first conducted a descriptive analysis to analyze the epidemiological features of scrub typhus. Then we used space-time scan statistic based on a discrete Poisson model to detect and evaluate high-risk spatial-temporal clusters of scrub typhus.
There were 4,001 cases of scrub typhus in Guangzhou City during the study period. The incidence of scrub typhus increased from 3.29 per 100,000 in 2006 to 9.85 per 100,000 in 2012. A summer peak was observed in June and July with a second peak in September and October except year 2009 and 2011. The majority of the cases (71.4%) were among persons aged ≥40 years, and female incidence was higher than male incidence in persons ≥50 years. In the space-time analysis, high-risk clusters were concentrated in rural areas in Guangzhou City. Over the past 7 years, Haizhu District, an urban area, was found to be a high-risk cluster for the first time in 2012.
The resurgence of scrub typhus epidemics in Guangzhou population in 2012 necessitates more effective measures for minimizing future epidemics. Consideration of high-risk population and historical spatial-temporal clusters may help prevent scrub typhus. The risk of scrub typhus in urban areas should not be neglected and needs more attention from public health authorities.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0101976</identifier><identifier>PMID: 25006820</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adolescent ; Adult ; Aged ; Analysis ; Biology and Life Sciences ; Child ; Child, Preschool ; China - epidemiology ; Cluster analysis ; Disease control ; Disease prevention ; Epidemics ; Epidemiology ; Humans ; Incidence ; Infant ; Infectious diseases ; Laboratories ; Medicine and Health Sciences ; Middle Aged ; Orientia tsutsugamushi ; Poisson Distribution ; Population ; Public health ; Public Health Surveillance - methods ; Risk analysis ; Rural areas ; Scrub typhus ; Scrub Typhus - epidemiology ; Sex Factors ; Spacetime ; Spatial analysis ; Spatio-Temporal Analysis ; Surveillance ; Typhus ; Urban areas ; Vectors (Biology) ; Young Adult</subject><ispartof>PloS one, 2014-07, Vol.9 (7), p.e101976-e101976</ispartof><rights>COPYRIGHT 2014 Public Library of Science</rights><rights>2014 Wei et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2014 Wei et al 2014 Wei et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-c926845872483349d41cdaa2bd8300e8d3355695f9f5061131a0e83bc11ff6093</citedby><cites>FETCH-LOGICAL-c692t-c926845872483349d41cdaa2bd8300e8d3355695f9f5061131a0e83bc11ff6093</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/1544082107/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/1544082107?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27924,27925,37012,37013,44590,53791,53793,75126</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25006820$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Sekaran, Shamala Devi</contributor><creatorcontrib>Wei, Yuehong</creatorcontrib><creatorcontrib>Huang, Yong</creatorcontrib><creatorcontrib>Luo, Lei</creatorcontrib><creatorcontrib>Xiao, Xincai</creatorcontrib><creatorcontrib>Liu, Lan</creatorcontrib><creatorcontrib>Yang, Zhicong</creatorcontrib><title>Rapid increase of scrub typhus: an epidemiology and spatial-temporal cluster analysis in Guangzhou City, Southern China, 2006-2012</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Scrub typhus has been increasingly reported in Southern China, and public health authorities are concerned about its increased incidence. Additionally, little evidence is available on the epidemiology of scrub typhus in Southern China. This study aims to analyze the epidemiological and geographic features of ST in Guangzhou City, Southern China, to guide the future prevention efforts.
Scrub typhus surveillance data in Guangzhou City during 2006-2012 were obtained from the Chinese National Communicable Disease Surveillance Network. We first conducted a descriptive analysis to analyze the epidemiological features of scrub typhus. Then we used space-time scan statistic based on a discrete Poisson model to detect and evaluate high-risk spatial-temporal clusters of scrub typhus.
There were 4,001 cases of scrub typhus in Guangzhou City during the study period. The incidence of scrub typhus increased from 3.29 per 100,000 in 2006 to 9.85 per 100,000 in 2012. A summer peak was observed in June and July with a second peak in September and October except year 2009 and 2011. The majority of the cases (71.4%) were among persons aged ≥40 years, and female incidence was higher than male incidence in persons ≥50 years. In the space-time analysis, high-risk clusters were concentrated in rural areas in Guangzhou City. Over the past 7 years, Haizhu District, an urban area, was found to be a high-risk cluster for the first time in 2012.
The resurgence of scrub typhus epidemics in Guangzhou population in 2012 necessitates more effective measures for minimizing future epidemics. Consideration of high-risk population and historical spatial-temporal clusters may help prevent scrub typhus. The risk of scrub typhus in urban areas should not be neglected and needs more attention from public health authorities.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Aged</subject><subject>Analysis</subject><subject>Biology and Life Sciences</subject><subject>Child</subject><subject>Child, Preschool</subject><subject>China - epidemiology</subject><subject>Cluster analysis</subject><subject>Disease control</subject><subject>Disease prevention</subject><subject>Epidemics</subject><subject>Epidemiology</subject><subject>Humans</subject><subject>Incidence</subject><subject>Infant</subject><subject>Infectious diseases</subject><subject>Laboratories</subject><subject>Medicine and Health Sciences</subject><subject>Middle Aged</subject><subject>Orientia tsutsugamushi</subject><subject>Poisson Distribution</subject><subject>Population</subject><subject>Public health</subject><subject>Public Health Surveillance - methods</subject><subject>Risk analysis</subject><subject>Rural areas</subject><subject>Scrub typhus</subject><subject>Scrub Typhus - epidemiology</subject><subject>Sex Factors</subject><subject>Spacetime</subject><subject>Spatial analysis</subject><subject>Spatio-Temporal Analysis</subject><subject>Surveillance</subject><subject>Typhus</subject><subject>Urban areas</subject><subject>Vectors (Biology)</subject><subject>Young Adult</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNqNk12L1DAUhoso7rr6D0QDgihsx3y1TbwQlkHXgYWFXfU2pGnaZsk0NUnF8dJfburMLjOyF9KLNCfPeZPzJifLniO4QKRC727c5AdpF6Mb9AIiiHhVPsiOESc4LzEkD_f-j7InIdxAWBBWlo-zI1xAWDIMj7PfV3I0DTCD8loGDVwLgvJTDeJm7KfwHsgB6ETotXHWdZs0b0AYZTTS5lGvR-elBcpOIWqfFqXdBBOSHjif5ND96t0EliZuTsG1m2Kv_QCWvRnkKcDpCDmGCD_NHrXSBv1sN55kXz99_LL8nF9cnq-WZxe5KjmOueK4ZLRgFaaMEMobilQjJa4bRiDUrCGkKEpetLwtYIkQQTJFSa0QatsScnKSvdzqjtYFsbMvCFRQChlGsErEaks0Tt6I0Zu19BvhpBF_A853QvpolNVCYc2ZZFTXuKGMEY4prxrOYIWruq5nrQ-73aZ6rRulh5icOhA9XBlMLzr3Q1DIIUY0CbzZCXj3fdIhirUJSlsrB-2m7bkrkqyYK3v1D3p_dTuqk6kAM7Qu7atmUXFGESsJxeWstbiHSt_8BFR6a61J8YOEtwcJiYn6Z-zkFIJYXV_9P3v57ZB9vcf2WtrYB2enaNwQDkG6BZV3IXjd3pmMoJhb5dYNMbeK2LVKSnuxf0F3Sbe9Qf4ARuIMKg</recordid><startdate>20140709</startdate><enddate>20140709</enddate><creator>Wei, Yuehong</creator><creator>Huang, Yong</creator><creator>Luo, Lei</creator><creator>Xiao, Xincai</creator><creator>Liu, Lan</creator><creator>Yang, Zhicong</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>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20140709</creationdate><title>Rapid increase of scrub typhus: an epidemiology and spatial-temporal cluster analysis in Guangzhou City, Southern China, 2006-2012</title><author>Wei, Yuehong ; Huang, Yong ; Luo, Lei ; Xiao, Xincai ; Liu, Lan ; Yang, Zhicong</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c692t-c926845872483349d41cdaa2bd8300e8d3355695f9f5061131a0e83bc11ff6093</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Adolescent</topic><topic>Adult</topic><topic>Aged</topic><topic>Analysis</topic><topic>Biology and Life Sciences</topic><topic>Child</topic><topic>Child, Preschool</topic><topic>China - 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wei, Yuehong</au><au>Huang, Yong</au><au>Luo, Lei</au><au>Xiao, Xincai</au><au>Liu, Lan</au><au>Yang, Zhicong</au><au>Sekaran, Shamala Devi</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Rapid increase of scrub typhus: an epidemiology and spatial-temporal cluster analysis in Guangzhou City, Southern China, 2006-2012</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2014-07-09</date><risdate>2014</risdate><volume>9</volume><issue>7</issue><spage>e101976</spage><epage>e101976</epage><pages>e101976-e101976</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Scrub typhus has been increasingly reported in Southern China, and public health authorities are concerned about its increased incidence. Additionally, little evidence is available on the epidemiology of scrub typhus in Southern China. This study aims to analyze the epidemiological and geographic features of ST in Guangzhou City, Southern China, to guide the future prevention efforts.
Scrub typhus surveillance data in Guangzhou City during 2006-2012 were obtained from the Chinese National Communicable Disease Surveillance Network. We first conducted a descriptive analysis to analyze the epidemiological features of scrub typhus. Then we used space-time scan statistic based on a discrete Poisson model to detect and evaluate high-risk spatial-temporal clusters of scrub typhus.
There were 4,001 cases of scrub typhus in Guangzhou City during the study period. The incidence of scrub typhus increased from 3.29 per 100,000 in 2006 to 9.85 per 100,000 in 2012. A summer peak was observed in June and July with a second peak in September and October except year 2009 and 2011. The majority of the cases (71.4%) were among persons aged ≥40 years, and female incidence was higher than male incidence in persons ≥50 years. In the space-time analysis, high-risk clusters were concentrated in rural areas in Guangzhou City. Over the past 7 years, Haizhu District, an urban area, was found to be a high-risk cluster for the first time in 2012.
The resurgence of scrub typhus epidemics in Guangzhou population in 2012 necessitates more effective measures for minimizing future epidemics. Consideration of high-risk population and historical spatial-temporal clusters may help prevent scrub typhus. The risk of scrub typhus in urban areas should not be neglected and needs more attention from public health authorities.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>25006820</pmid><doi>10.1371/journal.pone.0101976</doi><oa>free_for_read</oa></addata></record> |
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subjects | Adolescent Adult Aged Analysis Biology and Life Sciences Child Child, Preschool China - epidemiology Cluster analysis Disease control Disease prevention Epidemics Epidemiology Humans Incidence Infant Infectious diseases Laboratories Medicine and Health Sciences Middle Aged Orientia tsutsugamushi Poisson Distribution Population Public health Public Health Surveillance - methods Risk analysis Rural areas Scrub typhus Scrub Typhus - epidemiology Sex Factors Spacetime Spatial analysis Spatio-Temporal Analysis Surveillance Typhus Urban areas Vectors (Biology) Young Adult |
title | Rapid increase of scrub typhus: an epidemiology and spatial-temporal cluster analysis in Guangzhou City, Southern China, 2006-2012 |
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