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

机译:基于地理加权回归模型的中国肾综合征出血热时空异质性分析

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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.
机译:肾综合征出血热(HFRS)是中国重要的公共卫生问题。 HFRS时空模式的识别将为有效控制该疾病提供基础。基于2005-2012年中国HFRS的发病率,环境因素和社会经济因素,本文确定了HFRS分布的时空特征及其影响因素。结果表明,HFRS的空间分布具有显着的正空间相关性。时空异质性受温度,降水,湿度,1月的NDVI,上一年8月的NDVI,土地利用以及2005-2009年的海拔的影响。但是,这些因素并不能解释2010-2012年HFRS发病率的时空异质性。省级HFRS发病率的时空异质性及其与环境因素的关系,将为卫生部门设计和实施预防和控制HFRS的有效措施提供有价值的信息。

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