Spatial analyses of typhoid fever in Jiangsu province, People’s Republic of China
AbstractAn analysis of the geographical distribution of typhoid incidence rates, based on various statistical approaches such as trend surface, spatial autocorrelation, spatial correlation and spatial regression, was carried out at the county level in Jiangsu province, People’s Republic of China. Temperature, moisture content, proximity to water bodies and the normalized difference vegetation index in the autumn were the four underlying factors found to contribute the most to the development of the epidemic. Typhoid infection was most severe in the south-eastern region of Jiangsu and a significant hotspot with high positive autocorrelation was detected in Taicang county in the south-east of the province. To improve the typhoid situation, intervention efforts should be concentrated in the south-eastern region of the province, targeting the hotspot and include reduction of lake pollution.
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Copyright (c) 2013 Yue-Jia Cheng, Fen-Yang Tang, Chang-Jun Bao, Ye-Fei Zhu, Qi Liang, Jian-Li Hu, Wen-Dong Liu, Ying Wu, Kathleen H. Reilly, Tong-Qian Shen, Yang Zhao, Zhi-Hang Peng, Rong-Bin Yu, Hua Wang, Hong-Bing Shen, Feng Chen
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