社区环境如何改变纽约州停电对多种健康结果的影响?

Wangjian Zhang , Xinlei Deng , Xiaobo X. Romeiko , Kai Zhang , Scott C. Sheridan , Jerald Brotzge , Howard H. Chang , Eric K. Stern , Zhijian Guo , Guanghui Dong , Ramune Reliene , Yuantao Hao , Shao Lin
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引用次数: 0

摘要

虽然停电是极端天气增加的最重要后果之一,而且以前也有报道过停电对健康的影响,但在这种情况下,对社区环境潜在的人口脆弱性的研究有限。本研究旨在确定纽约州主要的社区环境预测因素,这些因素改变了POs对多种健康结果的影响。方法采用两阶段方法。在第一阶段,我们使用时间序列分析来确定2001-2013年纽约州每个电力运营部门的采购期(与非采购期相比)对多种健康结果的影响。在第二阶段,将高程区划分为高程区和非高程区,并基于36个邻域环境因子建立了基于随机森林和梯度增强树的高程状态预测模型。结果:在不同的结果中,我们发现代表更大城市化的预测因子,特别是拥有公共交通的居民比例(重要性范围为4.9-15.6%)、人口密度(3.3-16.1%)、人均收入(2.3-10.7%)和公共基础设施密度(0.8-8.5%),与停电后风险升高的可能性更高相关。此外,少数民族比例(-6.3-27.9%)和英语水平有限的比例(2.2-8.1%)、沙土比例(6.5-11.8%)和平均土壤温度(3.0-15.7%)也是多个结果的主要预测因子。脆弱性空间热点总体分布在纽约市周边和西北部,其分布格局与城市社会经济状况一致。结论人口在停电期间的脆弱性主要由城市化程度较高的邻里环境因素决定。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

How neighborhood environment modified the effects of power outages on multiple health outcomes in New York state?

How neighborhood environment modified the effects of power outages on multiple health outcomes in New York state?

How neighborhood environment modified the effects of power outages on multiple health outcomes in New York state?

How neighborhood environment modified the effects of power outages on multiple health outcomes in New York state?

Background

Although power outage (PO) is one of the most important consequences of increasing weather extremes and the health impact of POs has been reported previously, studies on the neighborhood environment underlying the population vulnerability in such situations are limited. This study aimed to identify dominant neighborhood environmental predictors which modified the impact of POs on multiple health outcomes in New York State.

Methods

We applied a two-stage approach. In the first stage, we used time series analysis to determine the impact of POs (versus non-PO periods) on multiple health outcomes in each power operating division in New York State, 2001-2013. In the second stage, we classified divisions as risk-elevated and non-elevated, then developed predictive models for the elevation status based on 36 neighborhood environmental factors using random forest and gradient boosted trees.

Results

Consistent across different outcomes, we found predictors representing greater urbanization, particularly, the proportion of residents having access to public transportation (importance ranging from 4.9–15.6%), population density (3.3–16.1%), per capita income (2.3–10.7%), and the density of public infrastructure (0.8–8.5%), were associated with a higher possibility of risk elevation following power outages. Additionally, the percent of minority (-6.3–27.9%) and those with limited English (2.2–8.1%), the percent of sandy soil (6.5–11.8%), and average soil temperature (3.0–15.7%) were also dominant predictors for multiple outcomes. Spatial hotspots of vulnerability generally were located surrounding New York City and in the northwest, the pattern of which was consistent with socioeconomic status.

Conclusion

Population vulnerability during power outages was dominated by neighborhood environmental factors representing greater urbanization.

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Hygiene and environmental health advances
Hygiene and environmental health advances Environmental Science (General)
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