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首页> 外文期刊>The Science of the Total Environment >Spatiotemporal decomposition and risk determinants of hand, foot and mouth disease in Henan, China
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Spatiotemporal decomposition and risk determinants of hand, foot and mouth disease in Henan, China

机译:河南省手足口病的时空分解及其危险因素

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Hand, foot and mouth disease (HFMD) remains an increasing public health concem. The spaliolemporal variation of HFMD can be represented from multiple-perspectives, and it may be driven by different dominant factors. In this study, the HFMD cases in children under the age of five years in each county in Henan province, China, from 2009 to 2013 were assessed to explore he integrative spaliolemporal patterns of HFMD and investigate their driving factors. The empirical orthogonal function was applied to identify representative spaliolemporal patterns. Then, GeoDelector was used to quantify he determinant powers of driving factors to the disease. The results indicated that he most prominent spaliolemporal pallem explained 56.21% of the total variance, presented in big cities, e.g. capital city and municipal districts. The dominant factors of this pattern were per capita gross domestic product and relative humidity, with determinant powers of 62% and 42%, respectively. The secondary spatiotemporal pattern explained 10.52% of the total variance, presented in the counties around big cities. The dominant factors for this pattern were the ratio of urban to rural population and precipitation, with determinant powers of 26% and 41%, respectively. These findings unveiled the key spatiotemporal features and their determinants related to the disease; this will be helpful in establishing accurate spatiotemporal preventing of HFMD. (C) 2018 Published by Elsevier B.V.
机译:手足口病(HFMD)仍然是日益增长的公共卫生观念。 HFMD的空间障碍性变异可以从多个角度表示,并且可能由不同的主导因素驱动。在这项研究中,对中国河南省2009年至2013年各县5岁以下儿童手足口病病例进行了评估,以探讨手足口病的综合spa突孔型并研究其驱动因素。经验正交函数被应用于识别代表性Spaliolemporal模式。然后,使用GeoDelector来量化该疾病驱动因素的决定力。结果表明,他在大城市中最突出的Spaliolemporal pallem解释了总差异的56.21%,例如在大城市。首都和市辖区。这种模式的主要因素是人均国内生产总值和相对湿度,其决定力分别为62%和42%。在大城市周围的县中,次时空模式解释了总方差的10.52%。这种模式的主要因素是城乡人口比例和降水,其决定力分别为26%和41%。这些发现揭示了关键的时空特征及其与疾病相关的决定因素。这将有助于建立准确的时空预防手足口病的方法。 (C)2018由Elsevier B.V.发布

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