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-使用暴露科学来识别感染后的高危人群 飓风哈维 摘要 飓风哈维8月26日在德克萨斯州罗克波特登陆。这场风暴带来了前所未有的降雨 在休斯顿地区倾倒了超过50英寸。由于这场风暴，十个县被宣布为灾区。 初步的卫星图像分析显示，哈里斯和马萨诸塞州有730多平方公里的土地被淹 加尔维斯顿县，很大一部分是住宅区。大休斯顿地区大约有570人 化工厂，43个超级基金地点(其中13个被洪水淹没)，9个炼油厂，188个水泥配料厂，80个金属 回收设施，以及许多地下储油罐。退去的洪水可能会导致 住宅和商业建筑中广泛存在的霉菌和潜在的细菌污染。广度 对空气、水和土壤的有毒污染还有待评估。此外，还存在与 复杂的污染物混合物，以及心理压力的影响。潜在的健康风险是 安全。 风暴事件的范围和规模要求以创新的方法来理解环境 飓风/热带风暴哈维过后的健康风险。我们建议使用最先进的数据和 暴露科学，以确定世卫组织曾经(并将继续)暴露于什么，并在这样做中建立 对风暴对长期环境健康影响的风险的基线了解。我们的特定 目标是：1)开发一个开放的网络平台，用于存储、共享和分析来自大休斯顿的数据 地区；2)将有和没有经历过洪灾的个人纳入试点登记并收集基本健康信息 和住房信息；3)整合与风暴有关的所有可用环境暴露数据 到项目的空间数据架构中；4)根据他们的 暴露和特征；以及5)使在本R21下开发的资源对更大的人可用 研究和公共卫生社区。 拟议的工作利用了赖斯和我们强大的 与休斯顿市和环境保护基金合作。我们维护休斯顿城市酒店 Data Platform，这是一个安全的数据存储库，存储了超过5TB的与以下相关的地理参考管理数据 大休斯顿地区。团队成员有很长的合作历史，以加深理解 并改进了对大休斯顿地区居民的环境暴露的实时管理。 团队成员还在社区参与活动、飓风后研究、 研究依赖于参与者招募。

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.