Spatial analyses of typhoid fever in Jiangsu province, People’s Republic of China

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
  • Yue-Jia Cheng
    Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, China
  • Fen-Yang Tang
    Jiangsu Province Center for Disease Control and Prevention, Nanjing, China
  • Chang-Jun Bao
    Jiangsu Province Center for Disease Control and Prevention, Nanjing, China
  • Ye-Fei Zhu
    Jiangsu Province Center for Disease Control and Prevention, Nanjing, China
  • Qi Liang
    Jiangsu Province Center for Disease Control and Prevention, Nanjing, China
  • Jian-Li Hu
    Jiangsu Province Center for Disease Control and Prevention, Nanjing, China
  • Wen-Dong Liu
    Jiangsu Province Center for Disease Control and Prevention, Nanjing, China
  • Ying Wu
    Jiangsu Province Center for Disease Control and Prevention, Nanjing, China
  • Kathleen H. Reilly
    Tulane University Health Sciences Center, School of Public Health and Tropical Medicine, New Orleans, LA, United States
  • Tong-Qian Shen
    Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, China
  • Yang Zhao
    Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, China
  • Zhi-Hang Peng
    Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, China | zhihangpeng@njmu.edu.cn
  • Rong-Bin Yu
    Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, China
  • Hua Wang
    Jiangsu Province Center for Disease Control and Prevention, Nanjing, China
  • Hong-Bing Shen
    Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, China
  • Feng Chen
    Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, China

Abstract

An 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.

Keywords

geographical information systems, typhoid fever, trend surface analysis, spatial analysis, spatial regression, People’s Republic of China.

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Submitted: 2014-12-16 09:36:08
Published: 2013-05-01 00:00:00
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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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