Wei He1, Li-Ying Wang2,3, Wen-Jie Yu1, Guang-Jia Zhang1, Bo Zhong1, Sha Liao1, Qi Wang1, Rui-Rui Li1, Liu Yang1, Ren-Xin Yao1, Yang Liu1, Zeli Danba4, Sheng-Chao Qin5, Shi-An Wang6, Yan-Xia Wang7, Yan Huang8, Qian Wang9. 1. Department of Parasitic Diseases, Sichuan Provincial Center for Disease Control and Prevention, No.6 Zhongxue Road, Chengdu, 610041, People's Republic of China. 2. National Institute of Parasitic Diseases, Chinese Centre for Disease Control and Prevention, Chinese Centre for Tropical Diseases Research, WHO Collaborating Centre for Tropical Diseases, National Centre for International Research On Tropical Diseases, Ministry of Science and Technology, NHC Key Laboratory of Parasite and Vector Biology (National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention), Shanghai, 200025, People's Republic of China. 3. Doctorate School of Chemical and Biological Sciences for Health (CBS2), University of Montpellier, 34395, Montpellier, France. 4. Ganzi Prefectural Center for Disease Control and Prevention, No.139 Lucheng South Road, Ganzi Prefecture, 626000, People's Republic of China. 5. Aba Prefectural Center for Disease Control and Prevention, No.178 Meigu Street, Aba Prefecture, 624000, People's Republic of China. 6. Liangshan Prefectural Center for Disease Control and Prevention, Section 2 of Hangtian Avenue, Liangshan Prefecture, 615000, People's Republic of China. 7. Ya'an Prefectural Center for Disease Control and Prevention, No.9 Fangcao Road, Daxing New District, Ya'an City, 625000, People's Republic of China. 8. Department of Parasitic Diseases, Sichuan Provincial Center for Disease Control and Prevention, No.6 Zhongxue Road, Chengdu, 610041, People's Republic of China. 1308700501@qq.com. 9. Department of Parasitic Diseases, Sichuan Provincial Center for Disease Control and Prevention, No.6 Zhongxue Road, Chengdu, 610041, People's Republic of China. wangqian1967@163.com.
Abstract
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.
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 humanechinococcosis 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.
Authors: Ning Xiao; Jia-Min Qiu; M Nakao; Tiao-Ying Li; Xing-Wang Chen; P M Schantz; P S Craig; A Ito Journal: Zhongguo Ji Sheng Chong Xue Yu Ji Sheng Chong Bing Za Zhi Date: 2008-08
Authors: Yu Rong Yang; Magda Ellis; Tao Sun; Zhengzhi Li; Xongzhou Liu; Dominique A Vuitton; Brigitte Bartholomot; Patrick Giraudoux; Philip S Craig; Belchis Boufana; Yunhai Wang; Xiaohui Feng; Hao Wen; Akira Ito; Donald P McManus Journal: Am J Trop Med Hyg Date: 2006-03 Impact factor: 2.345