RAPID: Characterization of Pathogens in Water, Soil and Animal Facilities for Resilience Assessment of Civil Infrastructure After Extreme Weather Events

RAPID：水、土壤和动物设施中病原体的表征，用于极端天气事件后民用基础设施的复原力评估

• 批准号: 1901754
• 负责人: Thanh Nguyen
• 金额: $ 6万
• 依托单位: University of Illinois at Urbana-Champaign
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-11-15 至 2020-10-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1901754&HistoricalAwards=false
• 关键词: RAPID; Characterization; Pathogens; Water; Soil

Hurricane Florence caused extensive flooding in North Carolina. Facilities housing thousands of pigs and millions of chickens were flooded, causing the spread of the hog waste, manure, animal residue and potentially releasing dangerous pathogens into the water. The inundation after hurricanes may lead to the outbreak of one or more In agricultural-dependent coastal regions and the joint impact of extreme natural events on human and animal infrastructure has not been studied. A robust civil infrastructure (animal shelters, water distribution and treatment systems, transportation, and animal waste lagoons) is critical to minimize these interactions and to limit the outbreak of diseases after a natural disaster. Surveillance and detection of a broad range of pathogens are not usually initiated until a few human cases of infection are reported. This Rapid Response Research (RAPID) project will collect key data on the presence and abundance of pathogens, which are often assumed otherwise, leading to potentially inaccurate reactive resource allocation strategies for disease outbreak prevention and containment.The objective of this RAPID project is to use genomic epidemiology combined with bioinformatics and computational phylogenetic analyses to track pathogen sources and dispersal in water bodies to create spatial pathogenic profiles. Water and soil samples will be systematically collected near flooded farms with upstream locations serving as controls. Results from field data collection and associated analysis will provide data on the abundance, presence, and source of pathogens in water to assess the functionality of water infrastructure in the studied regions. The pathogen profiles will be combined with the human population, socio-demographics, infrastructure damage information, and data from a rapid flood model to develop a preliminary index which will characterize the spatial risk of disease outbreaks in the affected region. The analysis will help provide guidance on where to focus countermeasures (infrastructure rehabilitation, medicines, emergency personal, relief, and clean water supplies) to contain the risk of infection.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

佛罗伦萨飓风在北卡罗来纳州造成了广泛的洪水。淹没了数千头猪和数百万只鸡的设施，导致猪废物，肥料，动物残留物的扩散，并可能将危险的病原体释放到水中。飓风之后的淹没可能导致农业依赖性沿海地区爆发一个或多个，并且尚未研究极端自然事件对人类和动物基础设施的共同影响。强大的民用基础设施（动物庇护所，水分配和治疗系统，运输和动物废物泻湖）对于最大程度地减少这些相互作用并限制自然灾害后疾病的爆发至关重要。在报告一些人类感染病例之前，通常不会开始监视和检测广泛的病原体。 This Rapid Response Research (RAPID) project will collect key data on the presence and abundance of pathogens, which are often assumed otherwise, leading to potentially inaccurate reactive resource allocation strategies for disease outbreak prevention and containment.The objective of this RAPID project is to use genomic epidemiology combined with bioinformatics and computational phylogenetic analyses to track pathogen sources and dispersal in water bodies to create spatial pathogenic profiles.水和土壤样品将被系统地收集在被洪水淹没的农场附近，上游地点用作控制。现场数据收集和相关分析的结果将提供有关水中病原体的丰度，存在和来源的数据，以评估所研究区域中水基础设施的功能。病原体概况将与人口，社会人口统计学，基础设施损害信息以及快速洪水模型的数据相结合，以开发出初步指数，该指数将表征受影响地区疾病爆发的空间风险。该分析将有助于提供有关关注对策（基础设施康复，药品，紧急个人，救济和清洁水供应）的指导，以遏制感染风险。该奖项反映了NSF的法定任务，并被视为值得通过基金会的知识分子优点和更广泛的影响来通过评估来获得支持的审查审查标准。