Wei He, Li-Ying Wang, Wen-Jie Yu, Guang-Jia Zhang, Bo Zhong, Sha Liao, Qi Wang, Rui-Rui Li, Liu Yang, Ren-Xin Yao, Yang Liu, Zeli Danba, Sheng-Chao Qin, Shi-An Wang, Yan-Xia Wang, Yan Huang, Qian Wang
{"title":"四川省乡镇人包虫病流行及空间分布格局","authors":"Wei He, Li-Ying Wang, Wen-Jie Yu, Guang-Jia Zhang, Bo Zhong, Sha Liao, Qi Wang, Rui-Rui Li, Liu Yang, Ren-Xin Yao, Yang Liu, Zeli Danba, Sheng-Chao Qin, Shi-An Wang, Yan-Xia Wang, Yan Huang, Qian Wang","doi":"10.1186/s40249-021-00862-z","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Echinococcosis is a global zoonotic parasitic disease caused by Echinococcus larvae. This disease is highly endemic in Sichuan Province, China. This study investigates the prevalence and spatial distribution characteristics of human echinococcosis at the township level in Sichuan Province, geared towards providing a future reference for the development of precise prevention and control strategies.</p><p><strong>Methods: </strong>Human prevalence of echinococcosis was evaluated using the B-ultrasonography diagnostic method in Sichuan Province between 2016 and 2019. All data were collected, collated, and analyzed. A spatial distribution map was drawn to intuitively analyze the spatial distribution features. Eventually, the spatial autocorrelation was specified and local indicators of spatial association (LISA) clustering map was drawn to investigate the spatial aggregation of echinococcosis at the township level in Sichuan Province.</p><p><strong>Results: </strong>The prevalence of echinococcosis in humans of Sichuan Province was 0.462%, among which the occurrence of cystic echinococcosis (CE) was 0.221%, while that of alveolar echinococcosis (AE) was 0.244%. Based on the results of the spatial distribution map, a predominance of echinococcosis in humans decreased gradually from west to east and from north to south. The Global Moran's I index was 0.77 (Z = 32.07, P < 0.05), indicating that the prevalence of echinococcosis in humans was spatially clustered, exhibiting a significant spatial positive correlation. Further, the findings of local spatial autocorrelation analysis revealed that the \"high-high\" concentration areas were primarily located in some townships in the northwest of Sichuan Province. However, the \"low-low\" concentration areas were predominantly located in some townships in the southeast of Sichuan Province.</p><p><strong>Conclusions: </strong>Our findings demonstrated that the prevalence of echinococcosis in humans of Sichuan Province follows a downward trend, suggesting that the current prevention and control work has achieved substantial outcomes. Nevertheless, the prevalence in humans at the township level is widely distributed and differs significantly, with a clear clustering in space. Therefore, precise prevention and control strategies should be formulated for clusters, specifically strengthening the \"high-high\" clusters at the township level.</p>","PeriodicalId":13587,"journal":{"name":"Infectious Diseases of Poverty","volume":"10 1","pages":"82"},"PeriodicalIF":4.8000,"publicationDate":"2021-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8180058/pdf/","citationCount":"8","resultStr":"{\"title\":\"Prevalence and spatial distribution patterns of human echinococcosis at the township level in Sichuan Province, China.\",\"authors\":\"Wei He, Li-Ying Wang, Wen-Jie Yu, Guang-Jia Zhang, Bo Zhong, Sha Liao, Qi Wang, Rui-Rui Li, Liu Yang, Ren-Xin Yao, Yang Liu, Zeli Danba, Sheng-Chao Qin, Shi-An Wang, Yan-Xia Wang, Yan Huang, Qian Wang\",\"doi\":\"10.1186/s40249-021-00862-z\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Echinococcosis is a global zoonotic parasitic disease caused by Echinococcus larvae. This disease is highly endemic in Sichuan Province, China. This study investigates the prevalence and spatial distribution characteristics of human echinococcosis at the township level in Sichuan Province, geared towards providing a future reference for the development of precise prevention and control strategies.</p><p><strong>Methods: </strong>Human prevalence of echinococcosis was evaluated using the B-ultrasonography diagnostic method in Sichuan Province between 2016 and 2019. All data were collected, collated, and analyzed. A spatial distribution map was drawn to intuitively analyze the spatial distribution features. Eventually, the spatial autocorrelation was specified and local indicators of spatial association (LISA) clustering map was drawn to investigate the spatial aggregation of echinococcosis at the township level in Sichuan Province.</p><p><strong>Results: </strong>The prevalence of echinococcosis in humans of Sichuan Province was 0.462%, among which the occurrence of cystic echinococcosis (CE) was 0.221%, while that of alveolar echinococcosis (AE) was 0.244%. Based on the results of the spatial distribution map, a predominance of echinococcosis in humans decreased gradually from west to east and from north to south. The Global Moran's I index was 0.77 (Z = 32.07, P < 0.05), indicating that the prevalence of echinococcosis in humans was spatially clustered, exhibiting a significant spatial positive correlation. 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引用次数: 8
摘要
背景:棘球蚴病是一种由棘球蚴幼虫引起的全球性人畜共患寄生虫病。本病在中国四川省高度流行。本研究旨在调查四川省乡镇人群棘球蚴病流行情况及空间分布特征,为今后制定精准防控策略提供参考。方法:采用b超诊断方法对四川省2016 - 2019年棘球蚴病人群进行诊断。收集、整理和分析所有数据。绘制空间分布图,直观分析空间分布特征。最后,通过空间自相关定义,绘制局部空间关联指标(LISA)聚类图,对四川省乡镇层面棘球蚴病的空间聚集性进行研究。结果:四川省人类棘球蚴病患病率为0.462%,其中囊性棘球蚴病(CE)患病率为0.221%,肺泡性棘球蚴病(AE)患病率为0.244%。从空间分布图上看,棘球蚴病在人类中的优势由西向东、由北向南逐渐下降。全球Moran’s I指数为0.77 (Z = 32.07, P)。结论:四川省人感染棘球蚴病呈下降趋势,说明目前的防控工作取得了实质性成果。然而,在乡镇层面上,人类患病率分布广泛,差异显著,在空间上具有明显的聚类性。因此,应针对集群制定精准防控策略,特别是加强乡镇层面的“高-高”集群防控。
Prevalence and spatial distribution patterns of human echinococcosis at the township level in Sichuan Province, China.
Background: Echinococcosis is a global zoonotic parasitic disease caused by Echinococcus larvae. This disease is highly endemic in Sichuan Province, China. This study investigates the prevalence and spatial distribution characteristics of human echinococcosis at the township level in Sichuan Province, geared towards providing a future reference for the development of precise prevention and control strategies.
Methods: Human prevalence of echinococcosis was evaluated using the B-ultrasonography diagnostic method in Sichuan Province between 2016 and 2019. All data were collected, collated, and analyzed. A spatial distribution map was drawn to intuitively analyze the spatial distribution features. Eventually, the spatial autocorrelation was specified and local indicators of spatial association (LISA) clustering map was drawn to investigate the spatial aggregation of echinococcosis at the township level in Sichuan Province.
Results: The prevalence of echinococcosis in humans of Sichuan Province was 0.462%, among which the occurrence of cystic echinococcosis (CE) was 0.221%, while that of alveolar echinococcosis (AE) was 0.244%. Based on the results of the spatial distribution map, a predominance of echinococcosis in humans decreased gradually from west to east and from north to south. The Global Moran's I index was 0.77 (Z = 32.07, P < 0.05), indicating that the prevalence of echinococcosis in humans was spatially clustered, exhibiting a significant spatial positive correlation. Further, the findings of local spatial autocorrelation analysis revealed that the "high-high" concentration areas were primarily located in some townships in the northwest of Sichuan Province. However, the "low-low" concentration areas were predominantly located in some townships in the southeast of Sichuan Province.
Conclusions: Our findings demonstrated that the prevalence of echinococcosis in humans of Sichuan Province follows a downward trend, suggesting that the current prevention and control work has achieved substantial outcomes. Nevertheless, the prevalence in humans at the township level is widely distributed and differs significantly, with a clear clustering in space. Therefore, precise prevention and control strategies should be formulated for clusters, specifically strengthening the "high-high" clusters at the township level.
期刊介绍:
Infectious Diseases of Poverty is a peer-reviewed, open access journal that focuses on essential public health questions related to infectious diseases of poverty. It covers a wide range of topics and methods, including the biology of pathogens and vectors, diagnosis and detection, treatment and case management, epidemiology and modeling, zoonotic hosts and animal reservoirs, control strategies and implementation, new technologies, and their application.
The journal also explores the impact of transdisciplinary or multisectoral approaches on health systems, ecohealth, environmental management, and innovative technologies. It aims to provide a platform for the exchange of research and ideas that can contribute to the improvement of public health in resource-limited settings.
In summary, Infectious Diseases of Poverty aims to address the urgent challenges posed by infectious diseases in impoverished populations. By publishing high-quality research in various areas, the journal seeks to advance our understanding of these diseases and contribute to the development of effective strategies for prevention, diagnosis, and treatment.