Health Disparities and Climate Change: The Intersection of Three Disaster Events on Vulnerable Communities in Houston, Texas.
Health Disparities and Climate Change: The Intersection of Three Disaster Events on Vulnerable Communities in Houston, Texas.
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DOI：
10.3390/ijerph19010035
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发表时间：
2021-12-21
影响因子：
--
通讯作者：
Woodard L
中科院分区：
文献类型：
--
作者：
Adepoju OE;Han D;Chae M;Smith KL;Gilbert L;Choudhury S;Woodard L
尽管有证据表明，连续的气候灾害正在上升，但很少有研究记录了对有色人种社区的不成比例的影响。通过一系列灾害事件（哈维飓风和尤里冬季风暴）以及2019冠状病毒病大流行的独特视角，我们评估了德克萨斯州哈里斯县少数民族社区的灾害风险。采用定性和定量设计的混合方法方法来检查连续灾害（以及气候变化的作用），人口地理，种族和健康差异相关结果之间的关系。这项研究确定了大休斯顿地区以非西班牙裔美国人为主的四个社区。我们使用记录当地社区和环境的数据建立基础地图，并使用地理信息系统（GIS）制图进行空间分析。我们通过焦点小组来补充这些数据，以评估参与者在灾害规划和恢复以及社区复原力方面的经验。专题分析用于确定关键模式。在所有四个社区中，我们观察到严重的哈维飓风洪水，与该县其他地区相比，他们对11种COVID-19风险因素中的10种的暴露程度明显更高。空间分析显示，与哈里斯县所有其他社区相比，这四个社区的疾病负担更高，社会脆弱性更大，社区层面的流行病和灾害事件风险因素也明显更高。从专题数据分析中得出两个主题：(1)先前的灾害暴露使哈里斯县的少数民族人口能够更好地应对随后的灾害，这表明他们的抗灾能力增强了；(2)社会联系是抗灾能力的关键。长期存在的差异使有色人种面临更大的社会脆弱性风险。解决气候变化问题有可能缓解这些健康差距。
Although evidence suggests that successive climate disasters are on the rise, few studies have documented the disproportionate impacts on communities of color. Through the unique lens of successive disaster events (Hurricane Harvey and Winter Storm Uri) coupled with the COVID-19 pandemic, we assessed disaster exposure in minority communities in Harris County, Texas. A mixed methods approach employing qualitative and quantitative designs was used to examine the relationships between successive disasters (and the role of climate change), population geography, race, and health disparities-related outcomes. This study identified four communities in the greater Houston area with predominantly non-Hispanic African American residents. We used data chronicling the local community and environment to build base maps and conducted spatial analyses using Geographic Information System (GIS) mapping. We complemented these data with focus groups to assess participants’ experiences in disaster planning and recovery, as well as community resilience. Thematic analysis was used to identify key patterns. Across all four communities, we observed significant Hurricane Harvey flooding and significantly greater exposure to 10 of the 11 COVID-19 risk factors examined, compared to the rest of the county. Spatial analyses reveal higher disease burden, greater social vulnerability, and significantly higher community-level risk factors for both pandemics and disaster events in the four communities, compared to all other communities in Harris County. Two themes emerged from thematic data analysis: (1) Prior disaster exposure prepared minority populations in Harris County to better handle subsequent disaster suggesting enhanced disaster resilience, and (2) social connectedness was key to disaster resiliency. Long-standing disparities make people of color at greater risk for social vulnerability. Addressing climate change offers the potential to alleviate these health disparities.
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影响因子：
3.1
作者：
Davidson, Tatiana M.;Price, Matthew;McCauley, Jenna L.;Ruggiero, Kenneth J.
通讯作者：
Ruggiero, Kenneth J.
影响因子：
2.3
作者：
Odoms-Young, Angela;Bruce, Marino A.
通讯作者：
Bruce, Marino A.
DOI：
10.3390/ijerph15050974
发表时间：
2018-05-13
影响因子：
--
作者：
Schwartz RM;Tuminello S;Kerath SM;Rios J;Lieberman-Cribbin W;Taioli E
通讯作者：
Taioli E
影响因子：
9.7
作者：
Olshansky, S. Jay;Antonucci, Toni;Rowe, John
通讯作者：
Rowe, John
影响因子：
4.6
作者：
Thakur B;Dubey P;Benitez J;Torres JP;Reddy S;Shokar N;Aung K;Mukherjee D;Dwivedi AK
通讯作者：
Dwivedi AK