应用社会脆弱性指数在俄俄州的婴儿死亡率使用地理空间分析-一个横截面研究
Mounika Polavarapu1, Topista N Barasa2, Shipra Singh3
1Department of Population Health, The University of Toledo, HH 1010, Mail Stop 119 2801 W. Bancroft St, Toledo, OH, 43606-3390, USA. mounika.polavarapu@utoledo.edu.
Maternal and child health journal
|March 5, 2024
概括
俄俄州 俄俄州 俄俄州 是一个
科学领域:
- 公共卫生 公共卫生
- 流行病学 流行病学
- 地理空间分析是什么
背景情况:
- 俄俄州面临着高婴儿死亡率 (IMR),非西班牙裔黑人婴儿的死亡率是白人婴儿的三倍.
- 在俄俄州,婴儿死亡率存在显著的种族差异.
研究的目的:
- 确定俄俄州各县婴儿死亡率脆弱性的社会决定因素.
- 在县和人口普查区层面上绘制社会脆弱性和IMR之间的空间关系.
主要方法:
- 使用5个关键社会变量开发了一个针对婴儿死亡率 (SVI_IMR) 的定制社会脆弱性指数.
- 采用双变形描述图和空间滞后模型来分析空间自相关性.
- 在县和人口普查区两级检查了SVI_IMR和IMR.
主要成果:
- 俄俄州东南部的县有最高的IMR和SVI_IMR,与贫困,低教育和移动住房有关.
- 空间回归确定了一些集群,其中一个县的低收入影响了邻近县的IMR.
- 卢卡斯县的托莱多市在人口普查区层面上表现出IMR和SVI_IMR的高度重叠.
结论:
- 社会脆弱性指数 (SVI) 的地理空间分析有效地确定了婴儿死亡率高风险地区.
- 调查结果强调需要针对性干预,解决社会因素,以减少婴儿死亡率差异.
- 基于SVI数据的战略政策可以促进健康公平.
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