{"title":"[2016 - 2023年江苏省苏州市钉螺传播时空分布特征]。","authors":"Q Shi, L Shen, J Zhou, J Wu","doi":"10.16250/j.32.1915.2024155","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>To investigate the <i>Oncomelania hupensis</i> snails spread and its spatio-temporal clustering characteristics in Suzhou City, Jiangsu Province from 2016 to 2023, so as to provide insights into precision control of <i>O. hupensis</i> snails in the City.</p><p><strong>Methods: </strong><i>O. hupensis</i> snail surveillance data in Suzhou City from 2016 to 2023 were collected, and the areas of <i>O. hupensis</i> snail spread and areas of emerging and re-emerging snail habitats were retrieved. The spatial distribution characteristics and clustering types and locations of environments with <i>O. hupensis</i> snail spread were investigated using global and local spatial auto correlation analyses with the software ArcGIS 10.7, and the clustering and cluster areas of <i>O. hupensis</i> snail spread were identified in Suzhou City using spatio-temporal scans with the software SaTScan 10.0.2.</p><p><strong>Results: </strong><i>O. hupensis</i> snail spread covered an area of 677 171 m<sup>2</sup> in Suzhou City from 2016 to 2023, including 376 230 m<sup>2</sup> emerging snail habitats and 300 941 m<sup>2</sup> re-emerging snail habitats. Global spatial autocorrelation analysis showed overall clustering of <i>O. hupensis</i> snail spread in Suzhou City from 2016 to 2023 (Moran's <i>I</i> = 0.066, <i>P</i> = 0.007), and there were spatial clustering of areas with <i>O. hupensis</i> snail spread in 2019 (Moran's <i>I</i> = 0.086, <i>P</i> = 0.001) and 2021 (Moran's <i>I</i> = 0.045, <i>P</i> = 0.003). Local spatial autocorrelation analysis showed clusters of <i>O. hupensis</i> snail spread in Suzhou City from 2016 to 2023, with high-high clusters in Guangfu Township and Dongzhu Street, and the high-high clusters of <i>O. hupensis</i> snail spread were mainly distributed in southwestern Suzhou City. Spatio-temporal scans identified two clusters of areas with <i>O. hupensis</i> snail spread and areas of re-emerging snail habitats in Suzhou City from 2016 to 2023, with large clustering areas found in Guangfu Township, Dongzhu Street, Tong'an Township and Wangting Township [relative risk (<i>RR</i>) = 22.34, log likelihood ratio (<i>LLR</i>) = 163 295.32, <i>P</i> < 0.001] and small clustering areas in Xukou Township, Mudu Township and Xiangshan Street (<i>RR</i> = 2.73, <i>LLR</i> = 921.92, <i>P</i> < 0.001).</p><p><strong>Conclusions: </strong>There was spatial clustering of <i>O. hupensis</i> snail spread in Suzhou City from 2016 to 2023. Improved quality of <i>O. hupensis</i> snail control and intensified management of environments at a high risk of <i>O. hupensis</i> snail spread are recommended in Suzhou City.</p>","PeriodicalId":38874,"journal":{"name":"中国血吸虫病防治杂志","volume":"36 6","pages":"577-583"},"PeriodicalIF":0.0000,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"[Spatio-temporal distribution characteristics of <i>Oncomelania hupensis</i> snails spread in Suzhou City of Jiangsu Province from 2016 to 2023].\",\"authors\":\"Q Shi, L Shen, J Zhou, J Wu\",\"doi\":\"10.16250/j.32.1915.2024155\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objective: </strong>To investigate the <i>Oncomelania hupensis</i> snails spread and its spatio-temporal clustering characteristics in Suzhou City, Jiangsu Province from 2016 to 2023, so as to provide insights into precision control of <i>O. hupensis</i> snails in the City.</p><p><strong>Methods: </strong><i>O. hupensis</i> snail surveillance data in Suzhou City from 2016 to 2023 were collected, and the areas of <i>O. hupensis</i> snail spread and areas of emerging and re-emerging snail habitats were retrieved. The spatial distribution characteristics and clustering types and locations of environments with <i>O. hupensis</i> snail spread were investigated using global and local spatial auto correlation analyses with the software ArcGIS 10.7, and the clustering and cluster areas of <i>O. hupensis</i> snail spread were identified in Suzhou City using spatio-temporal scans with the software SaTScan 10.0.2.</p><p><strong>Results: </strong><i>O. hupensis</i> snail spread covered an area of 677 171 m<sup>2</sup> in Suzhou City from 2016 to 2023, including 376 230 m<sup>2</sup> emerging snail habitats and 300 941 m<sup>2</sup> re-emerging snail habitats. Global spatial autocorrelation analysis showed overall clustering of <i>O. hupensis</i> snail spread in Suzhou City from 2016 to 2023 (Moran's <i>I</i> = 0.066, <i>P</i> = 0.007), and there were spatial clustering of areas with <i>O. hupensis</i> snail spread in 2019 (Moran's <i>I</i> = 0.086, <i>P</i> = 0.001) and 2021 (Moran's <i>I</i> = 0.045, <i>P</i> = 0.003). Local spatial autocorrelation analysis showed clusters of <i>O. hupensis</i> snail spread in Suzhou City from 2016 to 2023, with high-high clusters in Guangfu Township and Dongzhu Street, and the high-high clusters of <i>O. hupensis</i> snail spread were mainly distributed in southwestern Suzhou City. Spatio-temporal scans identified two clusters of areas with <i>O. hupensis</i> snail spread and areas of re-emerging snail habitats in Suzhou City from 2016 to 2023, with large clustering areas found in Guangfu Township, Dongzhu Street, Tong'an Township and Wangting Township [relative risk (<i>RR</i>) = 22.34, log likelihood ratio (<i>LLR</i>) = 163 295.32, <i>P</i> < 0.001] and small clustering areas in Xukou Township, Mudu Township and Xiangshan Street (<i>RR</i> = 2.73, <i>LLR</i> = 921.92, <i>P</i> < 0.001).</p><p><strong>Conclusions: </strong>There was spatial clustering of <i>O. hupensis</i> snail spread in Suzhou City from 2016 to 2023. Improved quality of <i>O. hupensis</i> snail control and intensified management of environments at a high risk of <i>O. hupensis</i> snail spread are recommended in Suzhou City.</p>\",\"PeriodicalId\":38874,\"journal\":{\"name\":\"中国血吸虫病防治杂志\",\"volume\":\"36 6\",\"pages\":\"577-583\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-11-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"中国血吸虫病防治杂志\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.16250/j.32.1915.2024155\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Medicine\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"中国血吸虫病防治杂志","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.16250/j.32.1915.2024155","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0
摘要
目的：了解2016 - 2023年苏州市钉螺分布及时空聚类特征，为苏州市钉螺精准防控提供依据。方法：收集2016 - 2023年苏州市钉螺监测资料，检索苏州市钉螺流行区、新出现和再出现钉螺生境区。利用ArcGIS 10.7软件进行全局和局部空间自相关分析，调查苏州市钉螺传播环境的空间分布特征、聚类类型和分布位置；利用SaTScan 10.0.2软件进行时空扫描，确定苏州市钉螺传播的聚类和聚类区域。结果：2016 - 2023年苏州市钉螺传播面积为677 171 m2，其中新出现钉螺栖息地376 230 m2，再出现钉螺栖息地300 941 m2。全球空间自相关分析显示，2016 - 2023年苏州市钉螺传播总体呈聚类（Moran’s I = 0.066, P = 0.007）， 2019年（Moran’s I = 0.086, P = 0.001）和2021年（Moran’s I = 0.045, P = 0.003）钉螺传播区域呈空间聚类。局部空间自相关分析显示，2016 - 2023年苏州市湖北钉螺传播呈聚集性分布，高-高聚集在广府乡和东渚街，高-高聚集型主要分布在苏州市西南部。时空扫描结果显示，2016 - 2023年苏州市有2个钉螺传播区和钉螺再出现区，其中大聚集区在广福乡、东珠街、同安乡和望亭乡[相对危险度(RR) = 22.34，对数似然比(LLR) = 163 295.32, P < 0.001]，小聚集区在徐口乡、木都乡和象山街[RR = 2.73, LLR = 921.92, P < 0.001]。结论：2016 - 2023年苏州市钉螺传播存在空间聚集性。建议提高苏州市钉螺控制质量，加强钉螺传播高风险环境管理。
[Spatio-temporal distribution characteristics of Oncomelania hupensis snails spread in Suzhou City of Jiangsu Province from 2016 to 2023].
Objective: To investigate the Oncomelania hupensis snails spread and its spatio-temporal clustering characteristics in Suzhou City, Jiangsu Province from 2016 to 2023, so as to provide insights into precision control of O. hupensis snails in the City.
Methods: O. hupensis snail surveillance data in Suzhou City from 2016 to 2023 were collected, and the areas of O. hupensis snail spread and areas of emerging and re-emerging snail habitats were retrieved. The spatial distribution characteristics and clustering types and locations of environments with O. hupensis snail spread were investigated using global and local spatial auto correlation analyses with the software ArcGIS 10.7, and the clustering and cluster areas of O. hupensis snail spread were identified in Suzhou City using spatio-temporal scans with the software SaTScan 10.0.2.
Results: O. hupensis snail spread covered an area of 677 171 m2 in Suzhou City from 2016 to 2023, including 376 230 m2 emerging snail habitats and 300 941 m2 re-emerging snail habitats. Global spatial autocorrelation analysis showed overall clustering of O. hupensis snail spread in Suzhou City from 2016 to 2023 (Moran's I = 0.066, P = 0.007), and there were spatial clustering of areas with O. hupensis snail spread in 2019 (Moran's I = 0.086, P = 0.001) and 2021 (Moran's I = 0.045, P = 0.003). Local spatial autocorrelation analysis showed clusters of O. hupensis snail spread in Suzhou City from 2016 to 2023, with high-high clusters in Guangfu Township and Dongzhu Street, and the high-high clusters of O. hupensis snail spread were mainly distributed in southwestern Suzhou City. Spatio-temporal scans identified two clusters of areas with O. hupensis snail spread and areas of re-emerging snail habitats in Suzhou City from 2016 to 2023, with large clustering areas found in Guangfu Township, Dongzhu Street, Tong'an Township and Wangting Township [relative risk (RR) = 22.34, log likelihood ratio (LLR) = 163 295.32, P < 0.001] and small clustering areas in Xukou Township, Mudu Township and Xiangshan Street (RR = 2.73, LLR = 921.92, P < 0.001).
Conclusions: There was spatial clustering of O. hupensis snail spread in Suzhou City from 2016 to 2023. Improved quality of O. hupensis snail control and intensified management of environments at a high risk of O. hupensis snail spread are recommended in Suzhou City.
期刊介绍：
Chinese Journal of Schistosomiasis Control (ISSN: 1005-6661, CN: 32-1374/R), founded in 1989, is a technical and scientific journal under the supervision of Jiangsu Provincial Health Commission and organised by Jiangsu Institute of Schistosomiasis Control. It is a scientific and technical journal under the supervision of Jiangsu Provincial Health Commission and sponsored by Jiangsu Institute of Schistosomiasis Prevention and Control. The journal carries out the policy of prevention-oriented, control-oriented, nationwide and grassroots, adheres to the tenet of scientific research service for the prevention and treatment of schistosomiasis and other parasitic diseases, and mainly publishes academic papers reflecting the latest achievements and dynamics of prevention and treatment of schistosomiasis and other parasitic diseases, scientific research and management, etc. The main columns are Guest Contributions, Experts‘ Commentary, Experts’ Perspectives, Experts' Forums, Theses, Prevention and Treatment Research, Experimental Research, The main columns include Guest Contributions, Expert Commentaries, Expert Perspectives, Expert Forums, Treatises, Prevention and Control Studies, Experimental Studies, Clinical Studies, Prevention and Control Experiences, Prevention and Control Management, Reviews, Case Reports, and Information, etc. The journal is a useful reference material for the professional and technical personnel of schistosomiasis and parasitic disease prevention and control research, management workers, and teachers and students of medical schools.
The journal is now included in important domestic databases, such as Chinese Core List (8th edition), China Science Citation Database (Core Edition), China Science and Technology Core Journals (Statistical Source Journals), and is also included in MEDLINE/PubMed, Scopus, EBSCO, Chemical Abstract, Embase, Zoological Record, JSTChina, Ulrichsweb, Western Pacific Region Index Medicus, CABI and other international authoritative databases.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
