Geographic distribution of echinococcosis in Tibetan region of Sichuan Province, China
Abstract Background Echinococcosis is a parasitic zoonosis caused by Echinococcus larvae parasitism causing high mortality. The Tibetan Region of Sichuan Province is a high prevalence area for echinococcosis in China. Understanding the geographic distribution pattern is necessary for precise control...
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| Format: | Article |
| Language: | English |
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BMC
2018-11-01
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| Series: | Infectious Diseases of Poverty |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s40249-018-0486-4 |
| _version_ | 1818291215157690368 |
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| author | Lei Liu Bing Guo Wei Li Bo Zhong Wen Yang Shu-Cheng Li Qian Wang Xing Zhao Ke-Jun Xu Sheng-Chao Qin Yan Huang Wen-Jie Yu Wei He Sha Liao Qi Wang |
| author_facet | Lei Liu Bing Guo Wei Li Bo Zhong Wen Yang Shu-Cheng Li Qian Wang Xing Zhao Ke-Jun Xu Sheng-Chao Qin Yan Huang Wen-Jie Yu Wei He Sha Liao Qi Wang |
| author_sort | Lei Liu |
| collection | DOAJ |
| description | Abstract Background Echinococcosis is a parasitic zoonosis caused by Echinococcus larvae parasitism causing high mortality. The Tibetan Region of Sichuan Province is a high prevalence area for echinococcosis in China. Understanding the geographic distribution pattern is necessary for precise control and prevention. In this study, a spatial analysis was conducted to explore the town-level epidemiology of echinococcosis in the Sichuan Tibetan Region and to provide guidance for formulating regional prevention and control strategies. Methods The study was based on reported echinococcosis cases by the end of 2017, and each case was geo-coded at the town level. Spatial empirical Bayes smoothing and global spatial autocorrelation were used to detect the spatial distribution pattern. Spatial scan statistics were applied to examine local clusters. Results The spatial distribution of echinococcosis in the Sichuan Tibetan Region was mapped at the town level in terms of the crude prevalence rate, excess hazard and spatial smoothed prevalence rate. The spatial distribution of echinococcosis was non-random and clustered with the significant global spatial autocorrelation (I = 0.7301, P = 0.001). Additionally, five significant spatial clusters were detected through the spatial scan statistic. Conclusions There was evidence for the existence of significant echinococcosis clusters in the Tibetan Region of Sichuan Province, China. The results of this study may assist local health departments with developing better prevention strategies and prompt more efficient public health interventions. |
| first_indexed | 2024-12-13T02:40:31Z |
| format | Article |
| id | doaj.art-6cc962d716364697832d428a8bccc101 |
| institution | Directory Open Access Journal |
| issn | 2049-9957 |
| language | English |
| last_indexed | 2024-12-13T02:40:31Z |
| publishDate | 2018-11-01 |
| publisher | BMC |
| record_format | Article |
| series | Infectious Diseases of Poverty |
| spelling | doaj.art-6cc962d716364697832d428a8bccc1012022-12-22T00:02:19ZengBMCInfectious Diseases of Poverty2049-99572018-11-01711910.1186/s40249-018-0486-4Geographic distribution of echinococcosis in Tibetan region of Sichuan Province, ChinaLei Liu0Bing Guo1Wei Li2Bo Zhong3Wen Yang4Shu-Cheng Li5Qian Wang6Xing Zhao7Ke-Jun Xu8Sheng-Chao Qin9Yan Huang10Wen-Jie Yu11Wei He12Sha Liao13Qi Wang14Department of Parasitic Diseases, Sichuan Center for Disease Control and PreventionWest China School of Public Health, Sichuan UniversityGanzi Center for Disease Control and PreventionDepartment of Parasitic Diseases, Sichuan Center for Disease Control and PreventionDepartment of Parasitic Diseases, Sichuan Center for Disease Control and PreventionAba Center for Disease Control and PreventionDepartment of Parasitic Diseases, Sichuan Center for Disease Control and PreventionWest China School of Public Health, Sichuan UniversityGanzi Center for Disease Control and PreventionAba Center for Disease Control and PreventionDepartment of Parasitic Diseases, Sichuan Center for Disease Control and PreventionDepartment of Parasitic Diseases, Sichuan Center for Disease Control and PreventionDepartment of Parasitic Diseases, Sichuan Center for Disease Control and PreventionDepartment of Parasitic Diseases, Sichuan Center for Disease Control and PreventionDepartment of Parasitic Diseases, Sichuan Center for Disease Control and PreventionAbstract Background Echinococcosis is a parasitic zoonosis caused by Echinococcus larvae parasitism causing high mortality. The Tibetan Region of Sichuan Province is a high prevalence area for echinococcosis in China. Understanding the geographic distribution pattern is necessary for precise control and prevention. In this study, a spatial analysis was conducted to explore the town-level epidemiology of echinococcosis in the Sichuan Tibetan Region and to provide guidance for formulating regional prevention and control strategies. Methods The study was based on reported echinococcosis cases by the end of 2017, and each case was geo-coded at the town level. Spatial empirical Bayes smoothing and global spatial autocorrelation were used to detect the spatial distribution pattern. Spatial scan statistics were applied to examine local clusters. Results The spatial distribution of echinococcosis in the Sichuan Tibetan Region was mapped at the town level in terms of the crude prevalence rate, excess hazard and spatial smoothed prevalence rate. The spatial distribution of echinococcosis was non-random and clustered with the significant global spatial autocorrelation (I = 0.7301, P = 0.001). Additionally, five significant spatial clusters were detected through the spatial scan statistic. Conclusions There was evidence for the existence of significant echinococcosis clusters in the Tibetan Region of Sichuan Province, China. The results of this study may assist local health departments with developing better prevention strategies and prompt more efficient public health interventions.http://link.springer.com/article/10.1186/s40249-018-0486-4EchinococcosisSpatial autocorrelation analysisMoran’s ISpatial cluster analysis |
| spellingShingle | Lei Liu Bing Guo Wei Li Bo Zhong Wen Yang Shu-Cheng Li Qian Wang Xing Zhao Ke-Jun Xu Sheng-Chao Qin Yan Huang Wen-Jie Yu Wei He Sha Liao Qi Wang Geographic distribution of echinococcosis in Tibetan region of Sichuan Province, China Infectious Diseases of Poverty Echinococcosis Spatial autocorrelation analysis Moran’s I Spatial cluster analysis |
| title | Geographic distribution of echinococcosis in Tibetan region of Sichuan Province, China |
| title_full | Geographic distribution of echinococcosis in Tibetan region of Sichuan Province, China |
| title_fullStr | Geographic distribution of echinococcosis in Tibetan region of Sichuan Province, China |
| title_full_unstemmed | Geographic distribution of echinococcosis in Tibetan region of Sichuan Province, China |
| title_short | Geographic distribution of echinococcosis in Tibetan region of Sichuan Province, China |
| title_sort | geographic distribution of echinococcosis in tibetan region of sichuan province china |
| topic | Echinococcosis Spatial autocorrelation analysis Moran’s I Spatial cluster analysis |
| url | http://link.springer.com/article/10.1186/s40249-018-0486-4 |
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