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Epidemiological characteristics and spatio-temporal clusters of human brucellosis in Inner Mongolia, 2010-2021
Brucellosis poses a significant public health challenge in China. Inner Mongolia, characterized by its developed livestock industry, is the most severe endemic area for human brucellosis. This study aims to describe the epidemiology, explore the spatial-temporal distribution patterns, and clustering...
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Published in: | BMC infectious diseases 2024-11, Vol.24 (1), p.1321-15, Article 1321 |
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description | Brucellosis poses a significant public health challenge in China. Inner Mongolia, characterized by its developed livestock industry, is the most severe endemic area for human brucellosis. This study aims to describe the epidemiology, explore the spatial-temporal distribution patterns, and clustering characteristics of human brucellosis in Inner Mongolia.
Data on human brucellosis cases from 2010 to 2021 were obtained from the Centers for Disease Control and Prevention in Inner Mongolia. Spatial autocorrelation analysis was used to identify high-risk areas, while spatial-temporal scan statistics were employed to detect changes in clusters over time.
A total of 153,792 brucellosis cases were reported in Inner Mongolia from 2010 to 2021, with an average annual incidence rate of 52.59 per 100,000 persons. The incidence showed a decreasing trend from 2010 to 2016, followed by a significant increase from 2016 to 2021. The disease exhibited distinct seasonality, peaking in spring and summer (March to August). Middle-aged individuals, males, and farmers/herdsmen had higher incidence rates. Spatially, incidence rates decreased from north to south and from the central and eastern regions to the west. Clear spatial clusters were observed during 2010-2013 and 2016-2021 in the global Moran's I test. Local spatial autocorrelation analysis revealed that high-high clusters expanded from the central and eastern regions towards the west over time. Spatio-temporal scan analysis further indicated that high-risk clusters were primarily concentrated in the central and eastern regions, with a continuous expansion towards the west and south, leading to an increasingly broad geographical spread.
Human brucellosis cases in Inner Mongolia exhibit spatio-temporal clustering, with spatial concentration in the central and eastern regions, but also observed expansion towards the western and southern regions. The most of cases occur between March and August each year. For high-risk areas and populations, more timely and effective prevention and control measures should be implemented to mitigate the spread of brucellosis and protect public health. |
doi_str_mv | 10.1186/s12879-024-10165-x |
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Data on human brucellosis cases from 2010 to 2021 were obtained from the Centers for Disease Control and Prevention in Inner Mongolia. Spatial autocorrelation analysis was used to identify high-risk areas, while spatial-temporal scan statistics were employed to detect changes in clusters over time.
A total of 153,792 brucellosis cases were reported in Inner Mongolia from 2010 to 2021, with an average annual incidence rate of 52.59 per 100,000 persons. The incidence showed a decreasing trend from 2010 to 2016, followed by a significant increase from 2016 to 2021. The disease exhibited distinct seasonality, peaking in spring and summer (March to August). Middle-aged individuals, males, and farmers/herdsmen had higher incidence rates. Spatially, incidence rates decreased from north to south and from the central and eastern regions to the west. Clear spatial clusters were observed during 2010-2013 and 2016-2021 in the global Moran's I test. Local spatial autocorrelation analysis revealed that high-high clusters expanded from the central and eastern regions towards the west over time. Spatio-temporal scan analysis further indicated that high-risk clusters were primarily concentrated in the central and eastern regions, with a continuous expansion towards the west and south, leading to an increasingly broad geographical spread.
Human brucellosis cases in Inner Mongolia exhibit spatio-temporal clustering, with spatial concentration in the central and eastern regions, but also observed expansion towards the western and southern regions. The most of cases occur between March and August each year. For high-risk areas and populations, more timely and effective prevention and control measures should be implemented to mitigate the spread of brucellosis and protect public health.</description><identifier>ISSN: 1471-2334</identifier><identifier>EISSN: 1471-2334</identifier><identifier>DOI: 10.1186/s12879-024-10165-x</identifier><identifier>PMID: 39567873</identifier><language>eng</language><publisher>England: BioMed Central Ltd</publisher><subject>Adolescent ; Adult ; Aged ; Aged, 80 and over ; Analysis ; Animal husbandry ; Autocorrelation ; Brucellosis ; Brucellosis - epidemiology ; Cattle ; Child ; Child, Preschool ; China - epidemiology ; Cluster Analysis ; Clustering ; Demographic aspects ; Disease control ; Disease prevention ; Distribution ; Distribution patterns ; Epidemiological characteristics ; Epidemiology ; Female ; Geography ; High-risk areas ; Humans ; Hypotheses ; Incidence ; Industrial development ; Infant ; Infant, Newborn ; Inner Mongolia ; Livestock ; Livestock industry ; Male ; Middle Aged ; Monte Carlo simulation ; Population ; Prevention ; Public health ; Risk Factors ; Seasonal variations ; Seasons ; Sheep ; Spatial analysis ; Spatial autocorrelation ; Spatial distribution ; Spatio-Temporal Analysis ; Spatiotemporal analysis ; Spatiotemporal data ; Statistical analysis ; Temporal distribution ; Young Adult</subject><ispartof>BMC infectious diseases, 2024-11, Vol.24 (1), p.1321-15, Article 1321</ispartof><rights>2024. The Author(s).</rights><rights>COPYRIGHT 2024 BioMed Central Ltd.</rights><rights>2024. This work is licensed under http://creativecommons.org/licenses/by-nc-nd/4.0/ (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</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c513t-5ccf8ed53038a6b9149777a14f62e52592640b37ea6b052c36e28b64b041a1883</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/PMC11577583/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/3142293790?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27924,27925,37012,37013,44590,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39567873$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Liu, Sijia</creatorcontrib><creatorcontrib>Soontornchai, Sarisak</creatorcontrib><creatorcontrib>Bovornkitti, Somchai</creatorcontrib><creatorcontrib>Wang, Xuemei</creatorcontrib><title>Epidemiological characteristics and spatio-temporal clusters of human brucellosis in Inner Mongolia, 2010-2021</title><title>BMC infectious diseases</title><addtitle>BMC Infect Dis</addtitle><description>Brucellosis poses a significant public health challenge in China. Inner Mongolia, characterized by its developed livestock industry, is the most severe endemic area for human brucellosis. This study aims to describe the epidemiology, explore the spatial-temporal distribution patterns, and clustering characteristics of human brucellosis in Inner Mongolia.
Data on human brucellosis cases from 2010 to 2021 were obtained from the Centers for Disease Control and Prevention in Inner Mongolia. Spatial autocorrelation analysis was used to identify high-risk areas, while spatial-temporal scan statistics were employed to detect changes in clusters over time.
A total of 153,792 brucellosis cases were reported in Inner Mongolia from 2010 to 2021, with an average annual incidence rate of 52.59 per 100,000 persons. The incidence showed a decreasing trend from 2010 to 2016, followed by a significant increase from 2016 to 2021. The disease exhibited distinct seasonality, peaking in spring and summer (March to August). Middle-aged individuals, males, and farmers/herdsmen had higher incidence rates. Spatially, incidence rates decreased from north to south and from the central and eastern regions to the west. Clear spatial clusters were observed during 2010-2013 and 2016-2021 in the global Moran's I test. Local spatial autocorrelation analysis revealed that high-high clusters expanded from the central and eastern regions towards the west over time. Spatio-temporal scan analysis further indicated that high-risk clusters were primarily concentrated in the central and eastern regions, with a continuous expansion towards the west and south, leading to an increasingly broad geographical spread.
Human brucellosis cases in Inner Mongolia exhibit spatio-temporal clustering, with spatial concentration in the central and eastern regions, but also observed expansion towards the western and southern regions. The most of cases occur between March and August each year. For high-risk areas and populations, more timely and effective prevention and control measures should be implemented to mitigate the spread of brucellosis and protect public health.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Analysis</subject><subject>Animal husbandry</subject><subject>Autocorrelation</subject><subject>Brucellosis</subject><subject>Brucellosis - epidemiology</subject><subject>Cattle</subject><subject>Child</subject><subject>Child, Preschool</subject><subject>China - epidemiology</subject><subject>Cluster Analysis</subject><subject>Clustering</subject><subject>Demographic aspects</subject><subject>Disease control</subject><subject>Disease prevention</subject><subject>Distribution</subject><subject>Distribution patterns</subject><subject>Epidemiological characteristics</subject><subject>Epidemiology</subject><subject>Female</subject><subject>Geography</subject><subject>High-risk areas</subject><subject>Humans</subject><subject>Hypotheses</subject><subject>Incidence</subject><subject>Industrial development</subject><subject>Infant</subject><subject>Infant, Newborn</subject><subject>Inner Mongolia</subject><subject>Livestock</subject><subject>Livestock industry</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Monte Carlo simulation</subject><subject>Population</subject><subject>Prevention</subject><subject>Public health</subject><subject>Risk Factors</subject><subject>Seasonal variations</subject><subject>Seasons</subject><subject>Sheep</subject><subject>Spatial analysis</subject><subject>Spatial autocorrelation</subject><subject>Spatial distribution</subject><subject>Spatio-Temporal Analysis</subject><subject>Spatiotemporal analysis</subject><subject>Spatiotemporal data</subject><subject>Statistical analysis</subject><subject>Temporal distribution</subject><subject>Young Adult</subject><issn>1471-2334</issn><issn>1471-2334</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNqNkk9v1DAQxSMEoqXwBTigSFxAIsXjiWPnhKqqwEpFlfh3tRzHyXqV2Fs7Qcu3x-mW0kUckA-2xr951jy_LHsO5BRAVG8jUMHrgtCyAAIVK3YPsmMoORQUsXx473yUPYlxQwhwQevH2RHWrOKC43HmLra2NaP1g--tVkOu1yooPZlg42R1zJVr87hVk_XFZMatDwszzDERMfddvp5H5fImzNoMg4825tblK-dMyD951_vBqjc5JUAKSig8zR51aojm2e1-kn17f_H1_GNxefVhdX52WWgGOBVM606YliFBoaqmhrLmnCsou4oaRllNq5I0yE26JIxqrAwVTVU2pAQFQuBJttrrtl5t5DbYUYWf0isrbwo-9FKFNN9gJCJWhCAhBnjJOlZ3mjatRhCAgjGetN7ttbZzM5pWGzclEw5ED2-cXcve_5AAjHMmMCm8ulUI_no2cZKjjYtfyhk_R4mAaUKRPiWhL_9CN34OLnmVqJLSGnlN_lC9ShNY1_n0sF5E5ZmAqk4LFq3Tf1BpLR-uvTOdTfWDhtcHDYmZzG7q1RyjXH35_P_s1fdDlu5ZHXyMwXR35gGRS5TlPsoyRVneRFnuUtOL-7bftfzOLv4CWtLqTg</recordid><startdate>20241120</startdate><enddate>20241120</enddate><creator>Liu, Sijia</creator><creator>Soontornchai, Sarisak</creator><creator>Bovornkitti, Somchai</creator><creator>Wang, Xuemei</creator><general>BioMed Central Ltd</general><general>BioMed Central</general><general>BMC</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>7QL</scope><scope>7T2</scope><scope>7U9</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8C1</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>H94</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20241120</creationdate><title>Epidemiological characteristics and spatio-temporal clusters of human brucellosis in Inner Mongolia, 2010-2021</title><author>Liu, Sijia ; Soontornchai, Sarisak ; Bovornkitti, Somchai ; Wang, Xuemei</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c513t-5ccf8ed53038a6b9149777a14f62e52592640b37ea6b052c36e28b64b041a1883</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Adolescent</topic><topic>Adult</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Analysis</topic><topic>Animal husbandry</topic><topic>Autocorrelation</topic><topic>Brucellosis</topic><topic>Brucellosis - epidemiology</topic><topic>Cattle</topic><topic>Child</topic><topic>Child, Preschool</topic><topic>China - epidemiology</topic><topic>Cluster Analysis</topic><topic>Clustering</topic><topic>Demographic aspects</topic><topic>Disease control</topic><topic>Disease prevention</topic><topic>Distribution</topic><topic>Distribution patterns</topic><topic>Epidemiological characteristics</topic><topic>Epidemiology</topic><topic>Female</topic><topic>Geography</topic><topic>High-risk areas</topic><topic>Humans</topic><topic>Hypotheses</topic><topic>Incidence</topic><topic>Industrial development</topic><topic>Infant</topic><topic>Infant, Newborn</topic><topic>Inner Mongolia</topic><topic>Livestock</topic><topic>Livestock industry</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Monte Carlo simulation</topic><topic>Population</topic><topic>Prevention</topic><topic>Public health</topic><topic>Risk Factors</topic><topic>Seasonal variations</topic><topic>Seasons</topic><topic>Sheep</topic><topic>Spatial analysis</topic><topic>Spatial autocorrelation</topic><topic>Spatial distribution</topic><topic>Spatio-Temporal Analysis</topic><topic>Spatiotemporal analysis</topic><topic>Spatiotemporal data</topic><topic>Statistical analysis</topic><topic>Temporal distribution</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Liu, Sijia</creatorcontrib><creatorcontrib>Soontornchai, Sarisak</creatorcontrib><creatorcontrib>Bovornkitti, Somchai</creatorcontrib><creatorcontrib>Wang, Xuemei</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale_Opposing Viewpoints In Context</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Health and Safety Science Abstracts (Full archive)</collection><collection>Virology and AIDS Abstracts</collection><collection>ProQuest_Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Public Health Database</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)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Environmental Sciences and Pollution Management</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>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</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>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>BMC infectious diseases</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Liu, Sijia</au><au>Soontornchai, Sarisak</au><au>Bovornkitti, Somchai</au><au>Wang, Xuemei</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Epidemiological characteristics and spatio-temporal clusters of human brucellosis in Inner Mongolia, 2010-2021</atitle><jtitle>BMC infectious diseases</jtitle><addtitle>BMC Infect Dis</addtitle><date>2024-11-20</date><risdate>2024</risdate><volume>24</volume><issue>1</issue><spage>1321</spage><epage>15</epage><pages>1321-15</pages><artnum>1321</artnum><issn>1471-2334</issn><eissn>1471-2334</eissn><abstract>Brucellosis poses a significant public health challenge in China. Inner Mongolia, characterized by its developed livestock industry, is the most severe endemic area for human brucellosis. This study aims to describe the epidemiology, explore the spatial-temporal distribution patterns, and clustering characteristics of human brucellosis in Inner Mongolia.
Data on human brucellosis cases from 2010 to 2021 were obtained from the Centers for Disease Control and Prevention in Inner Mongolia. Spatial autocorrelation analysis was used to identify high-risk areas, while spatial-temporal scan statistics were employed to detect changes in clusters over time.
A total of 153,792 brucellosis cases were reported in Inner Mongolia from 2010 to 2021, with an average annual incidence rate of 52.59 per 100,000 persons. The incidence showed a decreasing trend from 2010 to 2016, followed by a significant increase from 2016 to 2021. The disease exhibited distinct seasonality, peaking in spring and summer (March to August). Middle-aged individuals, males, and farmers/herdsmen had higher incidence rates. Spatially, incidence rates decreased from north to south and from the central and eastern regions to the west. Clear spatial clusters were observed during 2010-2013 and 2016-2021 in the global Moran's I test. Local spatial autocorrelation analysis revealed that high-high clusters expanded from the central and eastern regions towards the west over time. Spatio-temporal scan analysis further indicated that high-risk clusters were primarily concentrated in the central and eastern regions, with a continuous expansion towards the west and south, leading to an increasingly broad geographical spread.
Human brucellosis cases in Inner Mongolia exhibit spatio-temporal clustering, with spatial concentration in the central and eastern regions, but also observed expansion towards the western and southern regions. The most of cases occur between March and August each year. For high-risk areas and populations, more timely and effective prevention and control measures should be implemented to mitigate the spread of brucellosis and protect public health.</abstract><cop>England</cop><pub>BioMed Central Ltd</pub><pmid>39567873</pmid><doi>10.1186/s12879-024-10165-x</doi><tpages>15</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Adolescent Adult Aged Aged, 80 and over Analysis Animal husbandry Autocorrelation Brucellosis Brucellosis - epidemiology Cattle Child Child, Preschool China - epidemiology Cluster Analysis Clustering Demographic aspects Disease control Disease prevention Distribution Distribution patterns Epidemiological characteristics Epidemiology Female Geography High-risk areas Humans Hypotheses Incidence Industrial development Infant Infant, Newborn Inner Mongolia Livestock Livestock industry Male Middle Aged Monte Carlo simulation Population Prevention Public health Risk Factors Seasonal variations Seasons Sheep Spatial analysis Spatial autocorrelation Spatial distribution Spatio-Temporal Analysis Spatiotemporal analysis Spatiotemporal data Statistical analysis Temporal distribution Young Adult |
title | Epidemiological characteristics and spatio-temporal clusters of human brucellosis in Inner Mongolia, 2010-2021 |
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