Spatial–temporal distribution characteristics of pulmonary tuberculosis in eastern China from 2011 to 2021
China is still among the 30 high-burden tuberculosis (TB) countries in the world. Few studies have described the spatial epidemiological characteristics of pulmonary TB (PTB) in Jiangsu Province. The registered incidence data of PTB patients in 95 counties of Jiangsu Province from 2011 to 2021 were...
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| Veröffentlicht in: | Epidemiology and infection 2024-05, Vol.152, p.e84-e84, Article e84 |
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| creator | Chen, Ke Cheng, Liang Yu, Hao Zhou, Yong Zhu, Limei Li, Zhongqi Li, Tenglong Martinez, Leonardo Liu, Qiao Wang, Bei |
| description | China is still among the 30 high-burden tuberculosis (TB) countries in the world. Few studies have described the spatial epidemiological characteristics of pulmonary TB (PTB) in Jiangsu Province. The registered incidence data of PTB patients in 95 counties of Jiangsu Province from 2011 to 2021 were collected from the Tuberculosis Management Information System. Three-dimensional spatial trends, spatial autocorrelation, and spatial–temporal scan analysis were conducted to explore the spatial clustering pattern of PTB. From 2011 to 2021, a total of 347,495 newly diagnosed PTB cases were registered. The registered incidence rate of PTB decreased from 49.78/100,000 in 2011 to 26.49/100,000 in 2021, exhibiting a steady downward trend (χ2 = 414.22, P 0 (P |
| doi_str_mv | 10.1017/S0950268824000785 |
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Few studies have described the spatial epidemiological characteristics of pulmonary TB (PTB) in Jiangsu Province. The registered incidence data of PTB patients in 95 counties of Jiangsu Province from 2011 to 2021 were collected from the Tuberculosis Management Information System. Three-dimensional spatial trends, spatial autocorrelation, and spatial–temporal scan analysis were conducted to explore the spatial clustering pattern of PTB. From 2011 to 2021, a total of 347,495 newly diagnosed PTB cases were registered. The registered incidence rate of PTB decreased from 49.78/100,000 in 2011 to 26.49/100,000 in 2021, exhibiting a steady downward trend (χ2 = 414.22, P < 0.001). The average annual registered incidence rate of PTB was higher in the central and northern regions. Moran’s I indices of the registered incidence of PTB were all >0 (P< 0.05) except in 2016, indicating a positive spatial correlation overall. Local autocorrelation analysis showed that ‘high–high’ clusters were mainly distributed in northern Jiangsu, and ‘low–low’ clusters were mainly concentrated in southern Jiangsu. The results of this study assist in identifying settings and locations of high TB risk and inform policy-making for PTB control and prevention.</description><identifier>ISSN: 0950-2688</identifier><identifier>EISSN: 1469-4409</identifier><identifier>DOI: 10.1017/S0950268824000785</identifier><identifier>PMID: 38745412</identifier><language>eng</language><publisher>Cambridge, UK: Cambridge University Press</publisher><subject>Adolescent ; Adult ; Aged ; Aged, 80 and over ; Autocorrelation ; Child ; Child, Preschool ; China - epidemiology ; Clustering ; Clusters ; Economic development ; Epidemics ; Epidemiology ; Female ; GDP ; Gross Domestic Product ; Humans ; Incidence ; Infant ; Infant, Newborn ; Infectious diseases ; Information management ; Information systems ; Male ; Management information systems ; Middle Aged ; Original Paper ; Software ; Spatial analysis ; Spatial distribution ; Spatio-Temporal Analysis ; Temporal distribution ; Tuberculosis ; Tuberculosis, Pulmonary - epidemiology ; Young Adult</subject><ispartof>Epidemiology and infection, 2024-05, Vol.152, p.e84-e84, Article e84</ispartof><rights>The Author(s), 2024. Published by Cambridge University Press</rights><rights>The Author(s), 2024. Published by Cambridge University Press. This work is licensed under the Creative Commons Attribution License This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited. (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>The Author(s) 2024 2024 The Author(s)</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c424t-40c3cee0b5a59ac2b7ead3ef7991fc964edf3d625b03c3f6d27dc287fca59de93</cites><orcidid>0000-0002-5243-1254 ; 0000-0002-3572-133X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC11149027/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.cambridge.org/core/product/identifier/S0950268824000785/type/journal_article$$EHTML$$P50$$Gcambridge$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,23318,27924,27925,53791,53793,55804</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38745412$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Chen, Ke</creatorcontrib><creatorcontrib>Cheng, Liang</creatorcontrib><creatorcontrib>Yu, Hao</creatorcontrib><creatorcontrib>Zhou, Yong</creatorcontrib><creatorcontrib>Zhu, Limei</creatorcontrib><creatorcontrib>Li, Zhongqi</creatorcontrib><creatorcontrib>Li, Tenglong</creatorcontrib><creatorcontrib>Martinez, Leonardo</creatorcontrib><creatorcontrib>Liu, Qiao</creatorcontrib><creatorcontrib>Wang, Bei</creatorcontrib><title>Spatial–temporal distribution characteristics of pulmonary tuberculosis in eastern China from 2011 to 2021</title><title>Epidemiology and infection</title><addtitle>Epidemiol. Infect</addtitle><description>China is still among the 30 high-burden tuberculosis (TB) countries in the world. Few studies have described the spatial epidemiological characteristics of pulmonary TB (PTB) in Jiangsu Province. The registered incidence data of PTB patients in 95 counties of Jiangsu Province from 2011 to 2021 were collected from the Tuberculosis Management Information System. Three-dimensional spatial trends, spatial autocorrelation, and spatial–temporal scan analysis were conducted to explore the spatial clustering pattern of PTB. From 2011 to 2021, a total of 347,495 newly diagnosed PTB cases were registered. The registered incidence rate of PTB decreased from 49.78/100,000 in 2011 to 26.49/100,000 in 2021, exhibiting a steady downward trend (χ2 = 414.22, P < 0.001). The average annual registered incidence rate of PTB was higher in the central and northern regions. Moran’s I indices of the registered incidence of PTB were all >0 (P< 0.05) except in 2016, indicating a positive spatial correlation overall. Local autocorrelation analysis showed that ‘high–high’ clusters were mainly distributed in northern Jiangsu, and ‘low–low’ clusters were mainly concentrated in southern Jiangsu. The results of this study assist in identifying settings and locations of high TB risk and inform policy-making for PTB control and prevention.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Autocorrelation</subject><subject>Child</subject><subject>Child, Preschool</subject><subject>China - epidemiology</subject><subject>Clustering</subject><subject>Clusters</subject><subject>Economic development</subject><subject>Epidemics</subject><subject>Epidemiology</subject><subject>Female</subject><subject>GDP</subject><subject>Gross Domestic Product</subject><subject>Humans</subject><subject>Incidence</subject><subject>Infant</subject><subject>Infant, Newborn</subject><subject>Infectious diseases</subject><subject>Information management</subject><subject>Information systems</subject><subject>Male</subject><subject>Management information systems</subject><subject>Middle Aged</subject><subject>Original Paper</subject><subject>Software</subject><subject>Spatial analysis</subject><subject>Spatial distribution</subject><subject>Spatio-Temporal Analysis</subject><subject>Temporal distribution</subject><subject>Tuberculosis</subject><subject>Tuberculosis, Pulmonary - 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Epidemiology and infection</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Chen, Ke</au><au>Cheng, Liang</au><au>Yu, Hao</au><au>Zhou, Yong</au><au>Zhu, Limei</au><au>Li, Zhongqi</au><au>Li, Tenglong</au><au>Martinez, Leonardo</au><au>Liu, Qiao</au><au>Wang, Bei</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Spatial–temporal distribution characteristics of pulmonary tuberculosis in eastern China from 2011 to 2021</atitle><jtitle>Epidemiology and infection</jtitle><addtitle>Epidemiol. Infect</addtitle><date>2024-05-15</date><risdate>2024</risdate><volume>152</volume><spage>e84</spage><epage>e84</epage><pages>e84-e84</pages><artnum>e84</artnum><issn>0950-2688</issn><eissn>1469-4409</eissn><abstract>China is still among the 30 high-burden tuberculosis (TB) countries in the world. Few studies have described the spatial epidemiological characteristics of pulmonary TB (PTB) in Jiangsu Province. The registered incidence data of PTB patients in 95 counties of Jiangsu Province from 2011 to 2021 were collected from the Tuberculosis Management Information System. Three-dimensional spatial trends, spatial autocorrelation, and spatial–temporal scan analysis were conducted to explore the spatial clustering pattern of PTB. From 2011 to 2021, a total of 347,495 newly diagnosed PTB cases were registered. The registered incidence rate of PTB decreased from 49.78/100,000 in 2011 to 26.49/100,000 in 2021, exhibiting a steady downward trend (χ2 = 414.22, P < 0.001). The average annual registered incidence rate of PTB was higher in the central and northern regions. Moran’s I indices of the registered incidence of PTB were all >0 (P< 0.05) except in 2016, indicating a positive spatial correlation overall. Local autocorrelation analysis showed that ‘high–high’ clusters were mainly distributed in northern Jiangsu, and ‘low–low’ clusters were mainly concentrated in southern Jiangsu. The results of this study assist in identifying settings and locations of high TB risk and inform policy-making for PTB control and prevention.</abstract><cop>Cambridge, UK</cop><pub>Cambridge University Press</pub><pmid>38745412</pmid><doi>10.1017/S0950268824000785</doi><tpages>8</tpages><orcidid>https://orcid.org/0000-0002-5243-1254</orcidid><orcidid>https://orcid.org/0000-0002-3572-133X</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Adolescent Adult Aged Aged, 80 and over Autocorrelation Child Child, Preschool China - epidemiology Clustering Clusters Economic development Epidemics Epidemiology Female GDP Gross Domestic Product Humans Incidence Infant Infant, Newborn Infectious diseases Information management Information systems Male Management information systems Middle Aged Original Paper Software Spatial analysis Spatial distribution Spatio-Temporal Analysis Temporal distribution Tuberculosis Tuberculosis, Pulmonary - epidemiology Young Adult |
| title | Spatial–temporal distribution characteristics of pulmonary tuberculosis in eastern China from 2011 to 2021 |
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