Original Articles
Vol. 8 No. 2 (2014)
https://doi.org/10.4081/gh.2014.31

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

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Received: 10 December 2014
Published: 1 May 2014
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influenza, geographical information system, spatial autocorrelation analysis, spatial-temporal cluster analysis, People’s Republic of China.

Authors

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.
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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Spatial distribution and risk factors of influenza in Jiangsu province, China, based on geographical information system. (2014). Geospatial Health, 8(2), 429-435. https://doi.org/10.4081/gh.2014.31

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