Spatial distribution and risk factors of influenza in Jiangsu province, China, based on geographical information system
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...
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doaj-0ecfd9f7f43c403fbd3abf88b4ad46612020-11-25T03:17:03ZengPAGEPress PublicationsGeospatial Health1827-19871970-70962014-05-018242943510.4081/gh.2014.3131Spatial distribution and risk factors of influenza in Jiangsu province, China, based on geographical information systemJia-Cheng Zhang0Wen-Dong Liu1Qi Liang2Jian-Li Hu3Jessie Norris4Ying Wu5Chang-Jun Bao6Fen-Yang Tang7Peng Huang8Yang Zhao9Rong-Bin Yu10Ming-Hao Zhou11Hong-Bing Shen12Feng Chen13Zhi-Hang Peng14Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, NanjingJiangsu Province Center for Disease Control and Prevention, NanjingJiangsu Province Center for Disease Control and Prevention, NanjingJiangsu Province Center for Disease Control and Prevention, NanjingNational Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, BeijingJiangsu Province Center for Disease Control and Prevention, NanjingJiangsu Province Center for Disease Control and Prevention, NanjingJiangsu Province Center for Disease Control and Prevention, NanjingDepartment of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, NanjingDepartment of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, NanjingDepartment of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, NanjingDepartment of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, NanjingDepartment of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, NanjingDepartment of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, NanjingDepartment of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, NanjingInfluenza 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.http://www.geospatialhealth.net/index.php/gh/article/view/31influenza, geographical information system, spatial autocorrelation analysis, spatial-temporal cluster analysis, People’s Republic of China. |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Jia-Cheng Zhang Wen-Dong Liu Qi Liang Jian-Li Hu Jessie Norris Ying Wu Chang-Jun Bao Fen-Yang Tang Peng Huang Yang Zhao Rong-Bin Yu Ming-Hao Zhou Hong-Bing Shen Feng Chen Zhi-Hang Peng |
spellingShingle |
Jia-Cheng Zhang Wen-Dong Liu Qi Liang Jian-Li Hu Jessie Norris Ying Wu Chang-Jun Bao Fen-Yang Tang Peng Huang Yang Zhao Rong-Bin Yu Ming-Hao Zhou Hong-Bing Shen Feng Chen Zhi-Hang Peng Spatial distribution and risk factors of influenza in Jiangsu province, China, based on geographical information system Geospatial Health influenza, geographical information system, spatial autocorrelation analysis, spatial-temporal cluster analysis, People’s Republic of China. |
author_facet |
Jia-Cheng Zhang Wen-Dong Liu Qi Liang Jian-Li Hu Jessie Norris Ying Wu Chang-Jun Bao Fen-Yang Tang Peng Huang Yang Zhao Rong-Bin Yu Ming-Hao Zhou Hong-Bing Shen Feng Chen Zhi-Hang Peng |
author_sort |
Jia-Cheng Zhang |
title |
Spatial distribution and risk factors of influenza in Jiangsu province, China, based on geographical information system |
title_short |
Spatial distribution and risk factors of influenza in Jiangsu province, China, based on geographical information system |
title_full |
Spatial distribution and risk factors of influenza in Jiangsu province, China, based on geographical information system |
title_fullStr |
Spatial distribution and risk factors of influenza in Jiangsu province, China, based on geographical information system |
title_full_unstemmed |
Spatial distribution and risk factors of influenza in Jiangsu province, China, based on geographical information system |
title_sort |
spatial distribution and risk factors of influenza in jiangsu province, china, based on geographical information system |
publisher |
PAGEPress Publications |
series |
Geospatial Health |
issn |
1827-1987 1970-7096 |
publishDate |
2014-05-01 |
description |
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. |
topic |
influenza, geographical information system, spatial autocorrelation analysis, spatial-temporal cluster analysis, People’s Republic of China. |
url |
http://www.geospatialhealth.net/index.php/gh/article/view/31 |
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