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Time Sensitive Award Mechanism - Using Exposure Science to Identify Populations at Risk in the Aftermath of Hurricane Harvey

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
批准号:
10195430
负责人:
Marie Lynn Miranda
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
项目状态:
已结题
起止时间:
2018-03-01 至 2022-02-28

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中文摘要
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英文摘要
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.
期刊论文(2)
专著(0)
科研奖励(0)
会议论文
DOI: 10.1016/j.envres.2022.114020
发表时间: 2022-11
期刊: ENVIRONMENTAL RESEARCH
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
DOI: 10.1038/s41370-021-00347-z
发表时间: 2021-09
期刊: Journal of exposure science & environmental epidemiology
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
BRINGING MODERN DATA SCIENCE TOOLS TO BEAR ON ENVIRONMENTAL MIXTURES
  • 批准号:
    10273235
  • 项目类别:
  • 资助金额:
    $60.81万
  • 财政年份:
    2020
  • 负责人:
    Marie Lynn Miranda
  • 依托单位:
BRINGING MODERN DATA SCIENCE TOOLS TO BEAR ON ENVIRONMENTAL MIXTURES
  • 批准号:
    10304211
  • 项目类别:
  • 资助金额:
    $48.73万
  • 财政年份:
    2020
  • 负责人:
    Marie Lynn Miranda
  • 依托单位:
Bringing Modern Data Science Tools to Bear on Environmental Mixtures: Administrative Supplement for U3 Populations
  • 批准号:
    9911827
  • 项目类别:
  • 资助金额:
    $11.74万
  • 财政年份:
    2019
  • 负责人:
    Marie Lynn Miranda
  • 依托单位:
Bringing Modern Data Science Tools to Bear on Environmental Mixtures
  • 批准号:
    9882999
  • 项目类别:
  • 资助金额:
    $0.0万
  • 财政年份:
    2018
  • 负责人:
    Marie Lynn Miranda
  • 依托单位:
海外基金