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

被引:14
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 37 条
  • [1] The prevalence and control of schistosomiasis in Poyang Lake region, China
    Chen, HG
    Lin, DD
    [J]. PARASITOLOGY INTERNATIONAL, 2004, 53 (02) : 115 - 125
  • [2] Chen XY, 2001, CHIN J SCHISTO CONTR, V13, P129
  • [3] Spatial Analysis of Schistosomiasis in Hubei Province, China: A GIS-Based Analysis of Schistosomiasis from 2009 to 2013
    Chen, Yan-Yan
    Huang, Xi-Bao
    Xiao, Ying
    Jiang, Yong
    Shan, Xiao-wei
    Zhang, Juan
    Cai, Shun-Xiang
    Liu, Jian-Bing
    [J]. PLOS ONE, 2015, 10 (04):
  • [4] Responses of wetland vegetation in Poyang Lake, China to water-level fluctuations
    Dai, Xue
    Wan, Rongrong
    Yang, Guishan
    Wang, Xiaolong
    Xu, Ligang
    [J]. HYDROBIOLOGIA, 2016, 773 (01) : 35 - 47
  • [5] Fine scale Spatial-temporal cluster analysis for the infection risk of Schistosomiasis japonica using space-time scan statistics
    Gao, Feng-hua
    Abe, Eniola Michael
    Li, Shi-zhu
    Zhang, Li-juan
    He, Jia-chang
    Zhang, Shi-qing
    Wang, Tian-ping
    Zhou, Xiao-nong
    Gao, Jing
    [J]. PARASITES & VECTORS, 2014, 7
  • [6] Gelman A, 1999, STAT MED, V18, P3221
  • [7] A multi-component integrated approach for the elimination of schistosomiasis in the People's Republic of China: design and baseline results of a 4-year cluster-randomised intervention trial
    Gray, Darren J.
    Li, Yue-Sheng
    Williams, Gail M.
    Zhao, Zheng-Yuan
    Harn, Donald A.
    Li, Sheng-Ming
    Ren, Mao-Yuan
    Feng, Zeng
    Guo, Feng-Ying
    Guo, Jia-Gang
    Zhou, Jie
    Dong, Yu-Lan
    Li, Yuan
    Ross, Allen G.
    McManus, Donald P.
    [J]. INTERNATIONAL JOURNAL FOR PARASITOLOGY, 2014, 44 (09) : 659 - 668
  • [8] He Feng-ning, 2015, Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi, V27, P644
  • [9] Assessing the Effect of an Integrated Control Strategy for Schistosomiasis Japonica Emphasizing Bovines in a Marshland Area of Hubei Province, China: A Cluster Randomized Trial
    Hong, Xi-Cheng
    Xu, Xing-Jian
    Chen, Xi
    Li, Yue-Sheng
    Yu, Chuan-Hua
    Yuan, Yi
    Chen, Yan-Yan
    Li, Ren-Dong
    Qiu, Juan
    Liu, Zong-Chuan
    Yi, Ping
    Ren, Guang-Hui
    He, Hong-Bin
    [J]. PLOS NEGLECTED TROPICAL DISEASES, 2013, 7 (03):
  • [10] The role of health education and health promotion in the control of schistosomiasis: experiences from a 12-year intervention study in the Poyang Lake area
    Hu, GH
    Hu, J
    Song, KY
    Lin, DD
    Zhang, J
    Cao, CL
    Xu, J
    Li, D
    Jiang, WS
    [J]. ACTA TROPICA, 2005, 96 (2-3) : 232 - 241