Time Sensitive Award Mechanism - Using Exposure Science to Identify Populations at Risk in the Aftermath of Hurricane Harvey
时间敏感的奖励机制 - 利用暴露科学来识别飓风哈维后面临风险的人群
基本信息
- 批准号:10195430
- 负责人:
- 金额:$ 54.82万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2018
- 资助国家:美国
- 起止时间:2018-03-01 至 2022-02-28
- 项目状态:已结题
- 来源:
- 关键词:AirAir PollutantsArchitectureAreaAwardBenzeneButadieneCategoriesCensusesCharacteristicsChemicalsCitiesCommunitiesCommunity HealthComplex MixturesComputersCountyCrimeDataData AnalysesDioxinsDisastersEducationEnrollmentEnvironmentEnvironmental ExposureEnvironmental HealthEventExposure toFloodsFormaldehydeFundingGovernment OfficialsHealthHousingHurricaneImageImageryIndividualIndustrializationIndustryInfrastructureKilogramLinkMeasurementMetalsModernizationMoldsNeighborhoodsPatient RecruitmentsPlantsPopulationPopulations at RiskPsychological ImpactPsychological StressPublic HealthRainRecording of previous eventsRecyclingRegistriesReportingResearchResourcesRiceRiskRoleScienceScientistSecureShipsSiteSoilStructureSurfaceTexasTimeTime ManagementUncertaintyWaterWorkbasecarcinogenicitydata warehouseexperiencehealth science researchimprovedinnovationland usememberpopulation basedpublic health relevancesuperfund siteurban areaweb platform
项目摘要
Time-Sensitive Award Mechanism – Using Exposure Science to Identify Populations at Risk in the Aftermath of
Hurricane Harvey
Summary
Hurricane Harvey made landfall on August 26th in Rockport, Texas. Unprecedented rain from the storm
dumped over 50 inches on the Houston region. Ten counties were declared disaster areas due to the storm.
Preliminary satellite imagery analysis indicates that 730+ square kilometers of land were flooded in Harris and
Galveston counties, with a significant portion residential. The greater Houston area includes roughly 570
chemical plants, 43 Superfund sites (13 of which flooded), 9 refineries, 188 cement batch plants, 80 metal
recycling facilities, as well as numerous underground storage tanks. Receding flood waters will likely result in
widespread mold and potentially bacterial contamination in residential and commercial structures. The extent
of toxic contamination of the air, water, and soil has yet to be assessed. There is also uncertainty related to the
complex mixtures of contaminants, as well as the impact of psychological stress. The potential for health risk is
clear.
The scope and scale of the storm event calls for an innovative approach to understanding the environmental
health risks in the aftermath of Hurricane/Tropical Storm Harvey. We propose to use state of the art data and
exposure science to identify WHO was (and continues to be) exposed to WHAT and in so doing establish
baseline understanding of the risks for longer term environmental health effects from the storm. Our specific
aims are to: 1) develop an open web platform for storing, sharing, and analyzing data from the greater Houston
area; 2) enroll individuals who did and did not experience flooding into a pilot registry and collect basic health
and housing information on them; 3) integrate all available environmental exposure data related to the storm
into the project's spatial data architecture; 4) identify vulnerable individuals and populations based on their
exposures and characteristics; and 5) make the resources developed under this R21 available to the larger
research and public health communities.
The proposed work leverages a rich array of resources available through Rice and through our strong
partnership with the City of Houston and the Environmental Defense Fund. We maintain the Houston Urban
Data Platform, which is a secure data repository that holds over 5Tb of geo-referenced curated data related to
the greater Houston area. Team members have a long history of collaborating toward a deeper understanding
and improved real-time management of environmental exposures for residents of the greater Houston area.
Team members also bring extensive experience in community-engaged activities, post-hurricane research,
and research dependent on participant recruitment.
时间敏感的奖励机制——利用暴露科学来识别灾后面临风险的人群
飓风哈维
概括
飓风哈维于 8 月 26 日在德克萨斯州罗克波特登陆。暴风雨带来前所未有的暴雨
向休斯顿地区倾倒超过 50 英寸。由于风暴,十个县被宣布为灾区。
初步卫星图像分析显示,哈里斯和哈里斯地区 730 多平方公里的土地被洪水淹没。
加尔维斯顿县,其中很大一部分是住宅区。大休斯顿地区包括大约 570
化工厂、43 个超级基金场地(其中 13 个被洪水淹没)、9 个炼油厂、188 个水泥搅拌厂、80 个金属厂
回收设施以及众多地下储罐。洪水退去可能会导致
住宅和商业建筑中普遍存在霉菌和潜在的细菌污染。程度
空气、水和土壤的有毒污染程度尚未评估。也存在相关的不确定性
污染物的复杂混合物以及心理压力的影响。潜在的健康风险是
清除。
风暴事件的范围和规模需要采用创新方法来了解环境
飓风/热带风暴哈维后的健康风险。我们建议使用最先进的数据和
暴露科学,以确定谁曾经(并将继续)暴露于什么,并在此过程中建立
对风暴对环境健康造成长期影响的风险的基本了解。我们的具体
目标是:1)开发一个开放的网络平台,用于存储、共享和分析大休斯顿地区的数据
区域; 2) 将经历过和未经历过洪水的个人登记到试点登记册中并收集基本健康状况
以及他们的住房信息; 3)整合与风暴相关的所有可用环境暴露数据
进入项目的空间数据架构; 4) 根据弱势个人和群体的情况识别弱势群体
暴露和特征; 5) 使本 R21 下开发的资源可供更大范围的人使用
研究和公共卫生界。
拟议的工作利用了 Rice 和我们强大的可用资源
与休斯顿市和环境保护基金会的合作伙伴关系。我们维护休斯顿城市
数据平台,这是一个安全的数据存储库,包含超过 5Tb 的地理参考整理数据
大休斯顿地区。团队成员有着悠久的合作历史以加深理解
并改进了大休斯顿地区居民环境暴露的实时管理。
团队成员还带来了社区参与活动、飓风后研究、
和研究取决于参与者的招募。
项目成果
期刊论文数量(2)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Economic and mental health impacts of multiple adverse events: Hurricane Harvey, other flooding events, and the COVID-19 pandemic.
- DOI:10.1016/j.envres.2022.114020
- 发表时间:2022-11
- 期刊:
- 影响因子:8.3
- 作者:Callender, Rashida;Canales, Joally M.;Avendano, Carolina;Craft, Elena;Ensor, Katherine B.;Miranda, Marie Lynn
- 通讯作者:Miranda, Marie Lynn
The Texas flood registry: a flexible tool for environmental and public health practitioners and researchers.
- DOI:10.1038/s41370-021-00347-z
- 发表时间:2021-09
- 期刊:
- 影响因子:4.5
- 作者:Miranda ML;Callender R;Canales JM;Craft E;Ensor KB;Grossman M;Hopkins L;Johnston J;Shah U;Tootoo J
- 通讯作者:Tootoo J
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Marie Lynn Miranda其他文献
Marie Lynn Miranda的其他文献
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{{ truncateString('Marie Lynn Miranda', 18)}}的其他基金
BRINGING MODERN DATA SCIENCE TOOLS TO BEAR ON ENVIRONMENTAL MIXTURES
利用现代数据科学工具来研究环境混合物
- 批准号:
10304211 - 财政年份:2020
- 资助金额:
$ 54.82万 - 项目类别:
BRINGING MODERN DATA SCIENCE TOOLS TO BEAR ON ENVIRONMENTAL MIXTURES
利用现代数据科学工具来研究环境混合物
- 批准号:
10273235 - 财政年份:2020
- 资助金额:
$ 54.82万 - 项目类别:
Bringing Modern Data Science Tools to Bear on Environmental Mixtures: Administrative Supplement for U3 Populations
将现代数据科学工具应用于环境混合物:U3 人群的行政补充
- 批准号:
9911827 - 财政年份:2019
- 资助金额:
$ 54.82万 - 项目类别:
Bringing Modern Data Science Tools to Bear on Environmental Mixtures
将现代数据科学工具应用于环境混合物
- 批准号:
9882999 - 财政年份:2018
- 资助金额:
$ 54.82万 - 项目类别:
African Americans and Environmental Cancers: Sharing Histories to Build Trust
非裔美国人与环境癌症:分享历史以建立信任
- 批准号:
8073677 - 财政年份:2010
- 资助金额:
$ 54.82万 - 项目类别:
African Americans and Environmental Cancers: Sharing Histories to Build Trust
非裔美国人与环境癌症:分享历史以建立信任
- 批准号:
7941808 - 财政年份:2009
- 资助金额:
$ 54.82万 - 项目类别:
African Americans and Environmental Cancers: Sharing Histories to Build Trust
非裔美国人与环境癌症:分享历史以建立信任
- 批准号:
7815611 - 财政年份:2009
- 资助金额:
$ 54.82万 - 项目类别:
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