CyanoMap: Mapping inland lake quality and Amyotrophic lateral sclerosis risk fact

CyanoMap：绘制内陆湖泊质量和肌萎缩侧索硬化症风险事实

• 批准号: 8711729
• 负责人: Nathan Torbick
• 金额: $ 47.43万
• 依托单位: APPLIED GEOSOLUTIONS, LLC
• 依托单位国家: 美国
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-08-15 至 2016-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8711729
• 关键词: Acute; Alanine; Algorithms; Amyotrophic Lateral Sclerosis; Anatoxins; Area; Brain; California; Case Study; Centers for Disease Control and Prevention (U.S.); Cessation of life; Chronic; Consensus; Cyanobacterium; Data; Databases; Developed Countries; Developing Countries; Development; Diagnosis; Diet; Ecosystem; Endotoxins; Environmental Exposure; Etiology; Eutrophication; Exposure to; Florida; Funding; Genetic; Genetic Predisposition to Disease; Goals; Guam; Health; Health Hazards; Human; Incidence; Institution; Internet; Laws; Life Expectancy; Lipopolysaccharides; Maps; Medical center; Metric; Modeling; Motor Neurons; Muscle Weakness; Neurodegenerative Disorders; Neurologic; Neurotoxins; New England; Nitrogen; Non-Essential Amino Acid; Outcome; Pathologic; Persons; Phase; Poison; Population; Public Health; Public Health Applications Research; Registries; Research; Risk; Risk Factors; Services; Shapes; Small Business Innovation Research Grant; Spinal Cord; Symptoms; Technology; Time; Toxic effect; Toxin; Uncertainty; United States; United States National Aeronautics and Space Administration; United States National Institutes of Health; Universities; Water; anthropogenesis; chlorophyll a; cylindrospermopsin; disease registry; disorder prevention; epidemiological model; gene environment interaction; harmful algal blooms; innovation; lifetime risk; mobile application; open source; phase 2 study; programs; public health relevance; remote sensing; wasting; water quality; young adult

DESCRIPTION (provided by applicant): Amyotrophic lateral sclerosis (ALS) is a progressive, fatal neurodegenerative disease with a lifetime risk of 1 in 400 for a young adult (Armon 2007). The average life expectancy of a person with ALS is two to five years from time of diagnosis with 5,600 new cases diagnosed per year. Incidence rates vary in industrialized nations (an annual incidence rate of 0.2 to 2.4 per 100,000 population), to that in developing countries (1.5-2.0 per 100,000 per year). Evidence has shown potential linkages between cyanobacteria and ALS clusters (Bradley et al. 2013). Cyanobacteria are ubiquitous throughout all ecosystems and are particularly noxious when anthropogenic eutrophication of water-bodies causes large concentrations to form "blooms". Cyanobacteria are well-known to produce acute and chronic toxins that have human health implications. A primary obstacle in advancing our understanding of linkages between cyanobacteria blooms, toxicity, and ALS is a lack of information on the presence, extent, magnitude, and intensity of harmful algal blooms (HABs) and water quality in water bodies. Goal: The innovation of this NIH SBIR Phase II is the development of operational water quality and cyanobacteria risk maps that utilize multiscale satellite remote sensing platforms to drive an eco- epidemiological model for evaluating linkages between water quality and ALS. Approach: We will apply operational band ratio and shape filter algorithms to multiscale satellite remote sensing data. We will utilize Landsat, MERIS, and MODIS to have scaled approach. Spatial regression, clustering, and advanced geostatistics will be employed to build an eco-epidemiological model to map ALS risk factors and characterize the relationship between water quality and ALS cases. Expected Outcomes 1. Operational lake cyanobacteria and water quality exposure maps and risk metrics 2. Development of eco-epidemiological modeling framework for evaluating linkages between water quality and ALS. Phase II will develop model for three unique and diverse case studies for public health agencies in California, New England, and Florida. 3. Build and operate state-of-the-art lake water quality and health risk web mapping services and mobile app for all lakes >8 hectares in Phase II study areas for end users using open source technology.

描述（由申请人提供）：肌萎缩性侧索硬化症（ALS）是一种进行性致命的神经退行性疾病，年轻人的终身风险为400人（Armon 2007）。 ALS患者的平均预期寿命为诊断后的两到五年，每年被诊断出5,600例新病例。工业化国家的发病率（每100,000人口为0.2至2.4人口），在发展中国家（每年1.5-2.0）。证据表明，蓝细菌和ALS簇之间的潜在联系（Bradley等，2013）。蓝细菌在所有生态系统中都是普遍存在的，当水体的人为富营养化会导致大浓度形成“开花”时，蓝细菌尤其有害。蓝细菌是众所周知的，可产生具有人类健康影响的急性和慢性毒素。促进我们对蓝细菌，毒性和ALS之间联系的理解的主要障碍是缺乏有关有害藻类开花（HAB）的存在，程度，程度和强度的信息。目标：这一NIH SBIR第二阶段的创新是运营水质和蓝细菌风险图的开发，这些风险图利用多尺度卫星遥感平台来推动生态流行病学模型，以评估水质与ALS之间的联系。方法：我们将将操作带比和形状过滤算法应用于多尺寸卫星遥感数据。我们将利用Landsat，Meris和Modis进行扩展方法。将采用空间回归，聚类和高级地统计学来建立生态流行病学模型来绘制ALS风险因素并表征水质与ALS病例之间的关系。预期的结果1。蓝细菌和水质暴露地图和风险指标2。开发生态流行病学建模框架，用于评估水质与ALS之间的联系。第二阶段将为加利福尼亚，新英格兰和佛罗里达州的公共卫生机构的三个独特而多样的案例研究开发模型。 3.在第二阶段研究区域中，使用开源技术为所有湖泊的所有湖泊构建和运营，用于所有湖泊> 8公顷> 8公顷的湖泊映射服务以及移动应用程序。