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

基本信息

批准号：
8878259
负责人：
Nathan Torbick
金额：
$ 46.01万
依托单位：
APPLIED GEOSOLUTIONS, LLC
依托单位国家：
美国
项目类别：
财政年份：
2012
资助国家：
美国
起止时间：
2012-08-15 至 2016-12-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/8878259
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 Chlorophyll 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 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 cylindrospermopsin disease registry disorder prevention epidemiological model gene environment interaction harmful algal blooms innovation lifetime risk mobile application open source phase 2 study programs remote sensing wasting water quality young adult

项目摘要

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、致命性神经退行性疾病，对于年轻人来说，终生患病风险为四百分之一 (Armon 2007)。 ALS 患者自诊断后的平均预期寿命为 2 至 5 年，每年诊断出 5,600 例新病例。工业化国家的发病率（每年每 10 万人中 0.2 至 2.4 例）和发展中国家（每年每 10 万人中 1.5 至 2.0 例）的发病率有所不同。有证据表明蓝细菌和 ALS 簇之间存在潜在联系（Bradley 等人，2013）。蓝藻在所有生态系统中普遍存在，当水体的人为富营养化导致高浓度形成“水华”时，蓝藻尤其有害。众所周知，蓝藻会产生对人类健康有影响的急性和慢性毒素。推进我们对蓝藻水华、毒性和 ALS 之间联系的理解的一个主要障碍是缺乏有关有害藻华 (HAB) 的存在、范围、规模和强度以及水体水质的信息。目标：NIH SBIR 第二阶段的创新是开发可操作的水质和蓝藻风险图，利用多尺度卫星遥感平台来驱动生态流行病学模型，以评估水质与 ALS 之间的联系。方法：我们将把操作频带比和形状滤波器算法应用于多尺度卫星遥感数据。我们将利用 Landsat、MERIS 和 MODIS 进行规模化方法。将采用空间回归、聚类和先进的地质统计学来构建生态流行病学模型，以绘制 ALS 风险因素并描述水质与 ALS 病例之间的关系。预期成果 1. 运行中的湖泊蓝藻和水质暴露图和风险指标 2. 开发生态流行病学模型框架，用于评估水质与 ALS 之间的联系。第二阶段将为加利福尼亚州、新英格兰和佛罗里达州的公共卫生机构开发三个独特且多样化的案例研究模型。 3. 使用开源技术，为第二阶段研究区域中所有面积超过 8 公顷的湖泊，为最终用户构建和运营最先进的湖泊水质和健康风险网络测绘服务和移动应用程序。