Spangler K R, Manjourides J, Lynch A H, Wellenius G A
Department of Earth, Environmental, and Planetary Sciences Brown University Providence RI USA.
Department of Epidemiology, School of Public Health Brown University Providence RI USA.
Geohealth. 2019 Apr 23;3(4):104-120. doi: 10.1029/2018GH000179. eCollection 2019 Apr.
Weather and climate have substantial effects on human health. While much is known about how morbidity and mortality are affected by moderate-to-extreme heat, poor air quality, and heavy precipitation individually, less is known about the cumulative occurrence of these climatic hazards, and the extent to which they spatially overlap with community-scale vulnerabilities. Specifically, there is interest in determining whether individuals living in places with the highest exposure to multiple health hazardous climatic conditions are also more vulnerable to having negative health outcomes. Presented here is a spatial analysis of the distribution of health-relevant climatic hazards and social vulnerabilities across the New England region of the northeastern United States. We show that the frequency of excessive heat days, heavy precipitation days, and ozone (O) and fine particulate matter (PM) exceedances during the warm seasons (May-September) from 2009 to 2014 have distinct spatial distributions and are statistically significantly correlated across space with indicators of social vulnerability. We further quantify an integrated measure of the hazards and vulnerabilities to illustrate the spatial heterogeneity of overall risk, as well as to demonstrate how the choice of spatial scale influences the identification of high-risk areas. These methods are transferrable to other locations and contexts, which could be of utility not only to geographers and epidemiologists, but also to policymakers tasked with allocating public health resources to populations at greatest risk of weather- and climate-related health effects.
天气和气候对人类健康有着重大影响。虽然我们对中度至极端高温、空气质量差和强降水分别如何影响发病率和死亡率已经了解很多,但对于这些气候危害的累积发生情况,以及它们在空间上与社区层面脆弱性的重叠程度,我们了解得较少。具体而言,人们感兴趣的是确定生活在多重健康有害气候条件暴露程度最高地区的个人是否也更容易出现负面健康结果。本文展示了美国东北部新英格兰地区与健康相关的气候危害和社会脆弱性分布的空间分析。我们表明,2009年至2014年暖季(5月至9月)期间,酷热天数、强降水天数以及臭氧(O)和细颗粒物(PM)超标情况的频率具有明显的空间分布,并且在空间上与社会脆弱性指标存在显著的统计相关性。我们进一步量化了危害和脆弱性的综合指标,以说明总体风险的空间异质性,并展示空间尺度的选择如何影响高风险区域的识别。这些方法可应用于其他地点和背景,这不仅对地理学家和流行病学家有用,而且对负责将公共卫生资源分配给受天气和气候相关健康影响风险最大人群的政策制定者也有用。