Village-based spatio-temporal cluster analysis of the schistosomiasis risk in the Poyang Lake Region, China

被引:13
|
作者
Xia, Congcong [1 ,2 ,3 ,4 ]
Bergquist, Robert [5 ]
Lynn, Henry [1 ,2 ,3 ,4 ]
Hu, Fei [6 ]
Lin, Dandan [6 ]
Hao, Yuwan [7 ]
Li, Shizhu [7 ]
Hu, Yi [1 ,2 ,3 ,4 ]
Zhang, Zhijie [1 ,2 ,3 ,4 ]
机构
[1] Fudan Univ, Sch Publ Hlth, Dept Epidemiol & Biostat, Shanghai 200032, Peoples R China
[2] Minist Educ, Key Lab Publ Hlth Safety, Shanghai 200032, Peoples R China
[3] Fudan Univ, Sch Publ Hlth, Lab Spatial Anal & Modeling, Shanghai 200032, Peoples R China
[4] Fudan Univ, Collaborat Innovat Ctr Social Risks Governance Hl, Sch Publ Hlth, Shanghai 200032, Peoples R China
[5] Ingerod, Brastad, Sweden
[6] Jiangxi Inst Schistosomiasis Prevent & Control, Nanchang 330000, Jiangxi, Peoples R China
[7] Minist Hlth, Key Lab Parasite & Vector Biol, Chinese Ctr Dis Control & Prevent, Natl Inst Parasit Dis, Shanghai 200032, Peoples R China
来源
PARASITES & VECTORS | 2017年 / 10卷
基金
中国国家自然科学基金;
关键词
Schistosomiasis; Spatio-temporal; Poyang Lake Region; China; REPUBLIC-OF-CHINA; WATER-LEVEL FLUCTUATIONS; YANGTZE-RIVER VALLEY; ENVIRONMENTAL-FACTORS; JIANGXI PROVINCE; HEALTH-EDUCATION; TRANSMISSION; JAPONICA; INTERVENTION; METAANALYSIS;
D O I
10.1186/s13071-017-2059-y
中图分类号
R38 [医学寄生虫学]; Q [生物科学];
学科分类号
07 ; 0710 ; 09 ; 100103 ;
摘要
Background: The Poyang Lake Region, one of the major epidemic sites of schistosomiasis in China, remains a severe challenge. To improve our understanding of the current endemic status of schistosomiasis and to better control the transmission of the disease in the Poyang Lake Region, it is important to analyse the clustering pattern of schistosomiasis and detect the hotspots of transmission risk. Results: Based on annual surveillance data, at the village level in this region from 2009 to 2014, spatial and temporal cluster analyses were conducted to assess the pattern of schistosomiasis infection risk among humans through purely spatial (Local Moran's I, Kulldorff and Flexible scan statistic) and space-time scan statistics (Kulldorff). A dramatic decline was found in the infection rate during the study period, which was shown to be maintained at a low level. The number of spatial clusters declined over time and were concentrated in counties around Poyang Lake, including Yugan, Yongxiu, Nanchang, Xingzi, Xinjian, De'an as well as Pengze, situated along the Yangtze River and the most serious area found in this study. Space-time analysis revealed that the clustering time frame appeared between 2009 and 2011 and the most likely cluster with the widest range was particularly concentrated in Pengze County. Conclusions: This study detected areas at high risk for schistosomiasis both in space and time at the village level from 2009 to 2014 in Poyang Lake Region. The high-risk areas are now more concentrated and mainly distributed at the river inflows Poyang Lake and along Yangtze River in Pengze County. It was assumed that the water projects including reservoirs and a recently breached dyke in this area were partly to blame. This study points out that attempts to reduce the negative effects of water projects in China should focus on the Poyang Lake Region.
引用
收藏
页数:10
相关论文
共 50 条
  • [1] Village-based spatio-temporal cluster analysis of the schistosomiasis risk in the Poyang Lake Region, China
    Congcong Xia
    Robert Bergquist
    Henry Lynn
    Fei Hu
    Dandan Lin
    Yuwan Hao
    Shizhu Li
    Yi Hu
    Zhijie Zhang
    Parasites & Vectors, 10
  • [2] Spatio-temporal heterogeneity of ecological water level in Poyang Lake, China
    Tian, Mingming
    Mao, Jingqiao
    Wang, Kang
    Xu, Diandian
    ECOLOGICAL INFORMATICS, 2024, 82
  • [3] Analysis of Spatial and Temporal Characteristics of the Epidemic of Schistosomiasis in Poyang Lake Region
    Liu Ying
    Yu Xinle
    Zhong Yuezhi
    Mo Xiaoyu
    Hu Fei
    Yin Ke
    2011 3RD INTERNATIONAL CONFERENCE ON ENVIRONMENTAL SCIENCE AND INFORMATION APPLICATION TECHNOLOGY ESIAT 2011, VOL 10, PT C, 2011, 10 : 2760 - 2768
  • [4] The prevalence and control of schistosomiasis in Poyang Lake region, China
    Chen, HG
    Lin, DD
    PARASITOLOGY INTERNATIONAL, 2004, 53 (02) : 115 - 125
  • [5] Spatio-temporal patterns of hydrological processes and their responses to human activities in the Poyang Lake basin, China
    Zhang, Qiang
    Sun, Peng
    Jiang, Tao
    Tu, Xinjun
    Chen, Xiaohong
    HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES, 2011, 56 (02): : 305 - 318
  • [6] Spatio-temporal characteristics and possible mechanisms of rainy season precipitation in Poyang Lake Basin, China
    Zhang, Yuqing
    You, Qinglong
    Ye, Lei
    Chen, Changchun
    CLIMATE RESEARCH, 2017, 72 (02) : 129 - 140
  • [7] Spatio-temporal difference analysis of cultivated land use intensity based on emergy in the Poyang Lake Eco-economic Zone of China
    Xie, Hualin
    He, Yafen
    Zou, Jinlang
    Wu, Qun
    JOURNAL OF GEOGRAPHICAL SCIENCES, 2016, 26 (10) : 1412 - 1430
  • [8] Spatio-temporal difference analysis of cultivated land use intensity based on emergy in the Poyang Lake Eco-economic Zone of China
    Hualin Xie
    Yafen He
    Jinlang Zou
    Qun Wu
    Journal of Geographical Sciences, 2016, 26 : 1412 - 1430
  • [9] Identifying high-risk areas of schistosomiasis and associated risk factors in the Poyang Lake region, China
    Peng, W. X.
    Tao, B.
    Clements, A.
    Jiang, Q. L.
    Zhang, Z. J.
    Zhou, Y. B.
    Jiang, Q. W.
    PARASITOLOGY, 2010, 137 (07) : 1099 - 1107
  • [10] Land use information extraction and spatio-temporal variation analysis of Poyang Lake Basin based on remote sensing
    Liu, Hai
    Xia, Huiqiong
    Zhou, Bo
    MIPPR 2013: REMOTE SENSING IMAGE PROCESSING, GEOGRAPHIC INFORMATION SYSTEMS, AND OTHER APPLICATIONS, 2013, 8921