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Identifying Spatial Clusters of Schistosomiasis in Anhui Province of China: A Study from the Perspective of Application

Author

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  • Liqian Sun

    (Department of Epidemiology and Biostatistics, School of Public Health, Fudan University, Shanghai 200032, China
    Key Laboratory of Public Health Safety, Ministry of Education, Fudan University, Shanghai 200032, China
    Laboratory for Spatial Analysis and Modeling, School of Public Health, Fudan University, Shanghai 200032, China)

  • Yue Chen

    (Faculty of Medicine, School of Epidemiology, Pubic Health and Preventive Medicine, University of Ottawa, 451 Smyth Rd., Ottawa ON K1N 6N5, Canada)

  • Henry Lynn

    (Department of Epidemiology and Biostatistics, School of Public Health, Fudan University, Shanghai 200032, China)

  • Qizhi Wang

    (Anhui Institute of Parasitic Diseases, Wuhu 230061, China)

  • Shiqing Zhang

    (Anhui Institute of Parasitic Diseases, Wuhu 230061, China)

  • Rui Li

    (Department of Epidemiology and Biostatistics, School of Public Health, Fudan University, Shanghai 200032, China
    Key Laboratory of Public Health Safety, Ministry of Education, Fudan University, Shanghai 200032, China
    Laboratory for Spatial Analysis and Modeling, School of Public Health, Fudan University, Shanghai 200032, China)

  • Congcong Xia

    (Department of Epidemiology and Biostatistics, School of Public Health, Fudan University, Shanghai 200032, China
    Key Laboratory of Public Health Safety, Ministry of Education, Fudan University, Shanghai 200032, China
    Laboratory for Spatial Analysis and Modeling, School of Public Health, Fudan University, Shanghai 200032, China)

  • Qingwu Jiang

    (Department of Epidemiology and Biostatistics, School of Public Health, Fudan University, Shanghai 200032, China
    Key Laboratory of Public Health Safety, Ministry of Education, Fudan University, Shanghai 200032, China)

  • Yi Hu

    (Department of Epidemiology and Biostatistics, School of Public Health, Fudan University, Shanghai 200032, China
    Key Laboratory of Public Health Safety, Ministry of Education, Fudan University, Shanghai 200032, China
    Laboratory for Spatial Analysis and Modeling, School of Public Health, Fudan University, Shanghai 200032, China)

  • Fenghua Gao

    (Anhui Institute of Parasitic Diseases, Wuhu 230061, China)

  • Zhijie Zhang

    (Department of Epidemiology and Biostatistics, School of Public Health, Fudan University, Shanghai 200032, China
    Key Laboratory of Public Health Safety, Ministry of Education, Fudan University, Shanghai 200032, China
    Laboratory for Spatial Analysis and Modeling, School of Public Health, Fudan University, Shanghai 200032, China)

Abstract

With the strategy shifting from morbidity control to transmission interruption, the burden of schistosomiasis in China has been declining over the past decade. However, further controls of the epidemic in the lake and marshland regions remain a challenge. Prevalence data at county level were obtained from the provincial surveillance system in Anhui during 1997–2010. Spatial autocorrelation analysis and spatial scan statistics were combined to assess the spatial pattern of schistosomiasis. The spatial-temporal cluster analysis based on retrospective space-time scan statistics was further used to detect risk clusters. The Global Moran’s I coefficients were mostly statistically significant during 1997–2004 but not significant during 2005–2010. The clusters detected by two spatial cluster methods occurred in Nanling, Tongling, Qingyang and Wuhu during 1997–2004, and Guichi and Wuhu from 2005 to 2010, respectively. Spatial-temporal cluster analysis revealed 2 main clusters, namely Nanling (1999–2002) and Guichi (2005–2008). The clustering regions were significantly narrowed while the spatial extent became scattered during the study period. The high-risk areas shifted from the low reaches of the Yangtze River to the upper stream, suggesting the focus of schistosomiasis control should be shifted accordingly and priority should be given to the snail habitats within the high-risk areas of schistosomiasis.

Suggested Citation

  • Liqian Sun & Yue Chen & Henry Lynn & Qizhi Wang & Shiqing Zhang & Rui Li & Congcong Xia & Qingwu Jiang & Yi Hu & Fenghua Gao & Zhijie Zhang, 2015. "Identifying Spatial Clusters of Schistosomiasis in Anhui Province of China: A Study from the Perspective of Application," IJERPH, MDPI, vol. 12(9), pages 1-14, September.
    • Handle: RePEc:gam:jijerp:v:12:y:2015:i:9:p:11756-11769:d:55990
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    References listed on IDEAS

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    1. Julie Balen & Zhao-Chun Liu & Donald P McManus & Giovanna Raso & Jürg Utzinger & Shui-Yuan Xiao & Dong-Bao Yu & Zheng-Yuan Zhao & Yue-Sheng Li, 2013. "Health Access Livelihood Framework Reveals Potential Barriers in the Control of Schistosomiasis in the Dongting Lake Area of Hunan Province, China," PLOS Neglected Tropical Diseases, Public Library of Science, vol. 7(8), pages 1-11, August.
    2. Longxing Qi & Jing-an Cui & Tingting Huang & Fengli Ye & Longzhi Jiang, 2014. "Mathematical Model of Schistosomiasis under Flood in Anhui Province," Abstract and Applied Analysis, Hindawi, vol. 2014, pages 1-7, March.
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    Cited by:

    1. Junxiao Wang & Xiaorui Wang & Shenglu Zhou & Shaohua Wu & Yan Zhu & Chunfeng Lu, 2016. "Optimization of Sample Points for Monitoring Arable Land Quality by Simulated Annealing while Considering Spatial Variations," IJERPH, MDPI, vol. 13(10), pages 1-12, September.
    2. Francisco Manuel Gasca-Sanchez & Jesus Santos-Guzman & Ricardo Elizondo-Dueñaz & Gerardo Manuel Mejia-Velazquez & Cecilia Ruiz-Pacheco & Deborah Reyes-Rodriguez & Elsie Vazquez-Camacho & José Ascencio, 2019. "Spatial Clusters of Children with Cleft Lip and Palate and Their Association with Polluted Zones in the Monterrey Metropolitan Area," IJERPH, MDPI, vol. 16(14), pages 1-22, July.

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