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Int. J. Environ. Res. Public Health 2014, 11(12), 12129-12147; doi:10.3390/ijerph111212129

Spatiotemporal Heterogeneity Analysis of Hemorrhagic Fever with Renal Syndrome in China Using Geographically Weighted Regression Models

1
State Key Laboratory of Resources and Environmental Information System, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, 11A Datun Road, Chaoyang District, Beijing 100101, China
2
College of Resources and Environment, University of Chinese Academy of Sciences, No. 19 Yuquan Road, Beijing 100049, China
3
Center for Health Statistics and Information, National Health and Family Planning Commission, No.38 Beilishi Road, Xicheng District, Beijing 100044, China
4
State Key Laboratory for Infectious Diseases Prevention and Control, National Institute for Communicable Disease Control and Prevention, China CDC, 5 Changbai Road, Changping, Beijing 102206, China
*
Authors to whom correspondence should be addressed.
Received: 22 September 2014 / Revised: 17 November 2014 / Accepted: 18 November 2014 / Published: 25 November 2014
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Abstract

Hemorrhagic fever with renal syndrome (HFRS) is an important public health problem in China. The identification of the spatiotemporal pattern of HFRS will provide a foundation for the effective control of the disease. Based on the incidence of HFRS, as well as environmental factors, and social-economic factors of China from 2005–2012, this paper identified the spatiotemporal characteristics of HFRS distribution and the factors that impact this distribution. The results indicate that the spatial distribution of HFRS had a significant, positive spatial correlation. The spatiotemporal heterogeneity was affected by the temperature, precipitation, humidity, NDVI of January, NDVI of August for the previous year, land use, and elevation in 2005–2009. However, these factors did not explain the spatiotemporal heterogeneity of HFRS incidences in 2010–2012. Spatiotemporal heterogeneity of provincial HFRS incidences and its relation to environmental factors would provide valuable information for hygiene authorities to design and implement effective measures for the prevention and control of HFRS in China. View Full-Text
Keywords: hemorrhagic fever with renal syndrome (HFRS); geographically weighted regression (GWR); spatiotemporal heterogeneity; affecting factors hemorrhagic fever with renal syndrome (HFRS); geographically weighted regression (GWR); spatiotemporal heterogeneity; affecting factors
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Li, S.; Ren, H.; Hu, W.; Lu, L.; Xu, X.; Zhuang, D.; Liu, Q. Spatiotemporal Heterogeneity Analysis of Hemorrhagic Fever with Renal Syndrome in China Using Geographically Weighted Regression Models. Int. J. Environ. Res. Public Health 2014, 11, 12129-12147.

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