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A spatial approach to select pilot counties for programs to correct the biased sex ratio at birth in Shandong province, China

机译:选择山东省试点县的空间方法,以纠正中国山东省出生时性别偏见的方案

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The highly skewed sex ratio at birth (SRB) in China has stimulated numerous studies. However, the geographic distribution of SRB is seldom investigated, particularly at the county level. The need for an understanding at this level has increased since the Chinese government initiated its 'Care for Girls' campaign to improve the survival rate of females. This campaign has been initiated in a set of pilot counties. In this article we assess the effectiveness of the set of pilot counties in Shandong province and propose two alternate configurations. To do this, we first assess the spatial distribution of the SRB values by county in Shandong, expressed as a z-score (zSRB) after correcting for the biologically expected SRB value and population size of zero-aged children. A local Moron's I_i analysis of the zSRB values indicates a significant high-high cluster in the southwest of the province. The I_i, zSRB and female deficit (the difference of the observed from biologically expected number of zero-aged females) were then used to define two alternate configurations for the pilot counties. A comparison of the current and alternate configurations against a Monte Carlo randomisation analysis shows that the current configuration is significantly different from a random selection (p < 0.05) for the two criteria of maximising the aggregate female deficit and maximising the zSRB. Although this is a good result, both alternate configurations were more significant (p < 0.001), and therefore represent potentially better configurations for the campaign given the criteria used. The spatial analysis approach developed here could be used to improve the effectiveness of the Care-for-Girls campaign in Shandong province, and elsewhere in China.
机译:中国的出生性别比高度偏高,已经引发了众多研究。但是,很少研究SRB的地理分布,特别是在县一级。自从中国政府发起“关注女孩”运动以提高女性的生存率以来,对这一层面的理解的需求在增加。该运动已在一系列试点县发起。在本文中,我们评估了山东省一系列试点县的有效性,并提出了两种替代配置。为此,我们先评估山东省各县SRB值的空间分布,然后将其校正为零年龄儿童的生物学预期SRB值和人口规模,然后以z分数(zSRB)表示。本地Moron对zSRB值的I_i分析表明,该省西南部存在明显的高-高群集。然后,将I_i,zSRB和女性赤字(从零年龄女性的生物学预期数量观察到的差异)用于为试点县定义两种替代配置。当前配置和替代配置与蒙特卡洛随机分析的比较显示,对于最大化母体总缺陷和最大化zSRB的两个标准,当前配置与随机选择(p <0.05)明显不同。尽管这是一个很好的结果,但两种替代配置均更为显着(p <0.001),因此,在使用标准的情况下,这表示该广告系列可能具有更好的配置。在此开发的空间分析方法可用于提高山东省和中国其他地区的“关爱女孩”运动的有效性。

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