Spatial distribution and risk factors of influenza in Jiangsu province, China, based on geographical information system

  • Jia-Cheng Zhang Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, China.
  • Wen-Dong Liu 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.
  • Jessie Norris National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
  • Ying Wu Jiangsu Province Center for Disease Control and Prevention, Nanjing, China.
  • Chang-Jun Bao Jiangsu Province Center for Disease Control and Prevention, Nanjing, China.
  • Fen-Yang Tang Jiangsu Province Center for Disease Control and Prevention, Nanjing, China.
  • Peng Huang 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.
  • Rong-Bin Yu Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, China.
  • Ming-Hao Zhou Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, 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.
  • Zhi-Hang Peng | zhihangpeng@njme.edu.cn Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, China.

Abstract

Influenza poses a constant, heavy burden on society. Recent research has focused on ecological factors associated with influenza incidence and has also studied influenza with respect to its geographic spread at different scales. This research explores the temporal and spatial parameters of influenza and identifies factors influencing its transmission. A spatial autocorrelation analysis, a spatial-temporal cluster analysis and a spatial regression analysis of influenza rates, carried out in Jiangsu province from 2004 to 2011, found that influenza rates to be spatially dependent in 2004, 2005, 2006 and 2008. South-western districts consistently revealed hotspots of high-incidence influenza. The regression analysis indicates that railways, rivers and lakes are important predictive environmental variables for influenza risk. A better understanding of the epidemic pattern and ecological factors associated with pandemic influenza should benefit public health officials with respect to prevention and controlling measures during future epidemics.

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Published
2014-05-01
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Original Articles
Keywords:
influenza, geographical information system, spatial autocorrelation analysis, spatial-temporal cluster analysis, People’s Republic of China.
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How to Cite
Zhang, J.-C., Liu, W.-D., Liang, Q., Hu, J.-L., Norris, J., Wu, Y., Bao, C.-J., Tang, F.-Y., Huang, P., Zhao, Y., Yu, R.-B., Zhou, M.-H., Shen, H.-B., Chen, F., & Peng, Z.-H. (2014). Spatial distribution and risk factors of influenza in Jiangsu province, China, based on geographical information system. Geospatial Health, 8(2), 429-435. https://doi.org/10.4081/gh.2014.31

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