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

• Main Authors: Shujuan Li, Hongyan Ren, Wensheng Hu, Liang Lu, Xinliang Xu, Dafang Zhuang, Qiyong Liu
• Format: Article
• Language: English
• Published: MDPI AG 2014-11-01
• Series: International Journal of Environmental Research and Public Health
• Subjects: hemorrhagic fever with renal syndrome (HFRS); geographically weighted regression (GWR); spatiotemporal heterogeneity; affecting factors
• Online Access: http://www.mdpi.com/1660-4601/11/12/12129

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.