An Intregated System for the Epidemiological Application of Earth Observation Tec

对地观测技术流行病学应用综合系统

• 批准号: 7671495
• 负责人: MICHAEL C WIMBERLY
• 金额: $ 25.29万
• 依托单位: SOUTH DAKOTA STATE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-08-15 至 2012-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7671495
• 关键词: Affect; Area; Behavior; Biomedical Technology; Breeding; Case Study; Characteristics; Climate; Communicable Diseases; Computer software; Culicidae; Data; Data Set; Data Sources; Decision Making; Decision Support Systems; Development; Disease; Disease Outbreaks; Disease Vectors; Documentation; Ecosystem; Environmental Health; Environmental Monitoring; Epidemiology; Ethiopia; Exposure to; Feedback; Future; Geographic Distribution; Geographic Locations; Government Agencies; Habitats; Health; Health Professional; Health Sciences; Human; Humidity; Imagery; Incidence; Information Sciences; Information Technology; Malaria; Maps; Measurement; Metric; Modeling; Monitor; Mosquito Control; Mosquito-borne infectious disease; Occupations; Online Systems; Pattern; Persons; Policy Maker; Precipitation; Process; Public Health; Public Health Applications Research; Radiation; Research Personnel; Risk; Science; Scientist; Stream; Students; Surface; System; Technology; Temperature; Testing; Time; United States; United States National Institutes of Health; Vision; Weather; West Nile virus; biomedical scientist; burden of illness; computer infrastructure; computerized tools; design; digital; disorder prevention; environmental change; exposed human population; high risk; human disease; indexing; land cover; land use; novel; pathogen; public health relevance; public health research; remote sensing; sensor; skills; tool; transmission process; usability; user-friendly; Affect; Area; Behavior; Biomedical Technology; Breeding; Case Study; Characteristics; Climate; Communicable Diseases; Computer software; Culicidae; Data; Data Set; Data Sources; Decision Making; Decision Support Systems; Development; Disease; Disease Outbreaks; Disease Vectors; Documentation; Ecosystem; Environmental Health; Environmental Monitoring; Epidemiology; Ethiopia; Exposure to; Feedback; Future; Geographic Distribution; Geographic Locations; Government Agencies; Habitats; Health; Health Professional; Health Sciences; Human; Humidity; Imagery; Incidence; Information Sciences; Information Technology; Malaria; Maps; Measurement; Metric; Modeling; Monitor; Mosquito Control; Mosquito-borne infectious disease; Occupations; Online Systems; Pattern; Persons; Policy Maker; Precipitation; Process; Public Health; Public Health Applications Research; Radiation; Research Personnel; Risk; Science; Scientist; Stream; Students; Surface; System; Technology; Temperature; Testing; Time; United States; United States National Institutes of Health; Vision; Weather; West Nile virus; biomedical scientist; burden of illness; computer infrastructure; computerized tools; design; digital; disorder prevention; environmental change; exposed human population; high risk; human disease; indexing; land cover; land use; novel; pathogen; public health relevance; public health research; remote sensing; sensor; skills; tool; transmission process; usability; user-friendly

DESCRIPTION (provided by applicant): Satellite remote sensing technologies produce consistent, repeatable environmental measurements across nearly the entire surface of the Earth. The resulting storehouse of information has many potential applications in the study of human health, including mapping the geographic distributions of infectious diseases, monitoring the health impacts of climatic variability and land use change, and forecasting future health risks. Although there have been many calls for expanding the use of earth observation technologies in the health sciences, there are few examples of operational systems with a demonstrated impact on public health. Remote sensing experts typically have little understanding of how their products can be applied in the study of human health, and most health scientists and public health professionals lack the time, technical skills, and computational tools required to acquire, process, and analyze satellite remote sensing data. To more effectively bridge the gap between the remote sensing and public health fields, we will develop a web-based decision support system that will provide health scientists and practitioners with access to a suite of environmental measurements for use in the surveillance and forecasting of mosquito-borne infectious diseases. Specific aims are to: (1) Develop a system for automated processing of satellite remote sensing data to generate environmental measurements that can provide early warning of disease outbreaks, (2) Analyze the predictive capabilities of these remote sensing products using retrospective datasets of human disease cases, and (3) Develop a web-based decision support system to facilitate visualization and analysis of remote sensing products by public health practitioners. This system will integrate a variety of currently-available datasets including land surface temperature, precipitation, vegetation indices, and land cover maps. It will also include a novel measurement of actual evapotranspiration (ETa) that will enhance our ability to characterize near-surface moisture that affects mosquito behavior and breeding habitats. The system will be implemented and tested via two cases studies: one focused on Malaria in the Amhara regional state of Ethiopia, and the other focused on West Nile virus in the Northern Great Plains. In both of these case studies, we will actively partner with public health practitioners from government agencies and non-governmental organizations to gain feedback on the usability of the decision support tools and the value of the environmental information provided. We expect that the information provided by the project will make a significant contribution toward efforts to reduce the burden of mosquito-borne infectious disease within the two case study areas, and that the system will also serve as a model for future efforts to apply earth observation technologies in the fields of epidemiology and public health. PUBLIC HEALTH RELEVANCE: Mosquito-borne infectious diseases are a major public health concern in many parts of the world. Malaria is a major health problem in Ethiopia, where more than 5 million cases occur annually. West Nile virus is the predominant mosquito-borne disease in the United States, with a particularly high incidence of human disease in the Northern Great Plains. The development of disease surveillance and early-warning systems can help reduce the burden of these diseases by identifying high-risk areas and allowing public health practitioners to prioritize mosquito control and other disease-prevention efforts.

描述（由申请人提供）：卫星遥感技术在几乎整个地球的表面上产生一致，可重复的环境测量。最终的信息库在人类健康研究中具有许多潜在的应用，包括绘制传染病的地理分布，监测气候变异性和土地利用变化的健康影响，并预测未来的健康风险。尽管有很多呼吁在健康科学中扩大地球观察技术的使用，但很少有对公共卫生影响的操作系统的例子。遥感专家通常对如何将其产品应用于人类健康研究几乎没有了解，大多数健康科学家和公共卫生专业人员都缺乏获取，处理和分析卫星遥感数据所需的时间，技术技能和计算工具。为了更有效地弥合遥感和公共卫生领域之间的差距，我们将开发一种基于网络的决策支持系统，该系统将为健康科学家和从业人员提供一套环境测量，以用于监视和预测蚊子 - 爆炸性感染性疾病。具体目的是：（1）开发一种用于对卫星遥感数据自动处理的系统，以生成环境测量，可以提供疾病暴发的早期警告，（（2）分析这些遥感产品的预测能力，使用人类疾病的回顾性数据集的回顾性数据集，以及（3）通过基于Web的基于Web的决策支持系统，以促进遥感的临时练习和分析。该系统将集成各种当前可用的数据集，包括陆地表面温度，降水，植被指数和土地覆盖地图。它还将包括对实际蒸散液（ETA）的新测量，该测量将增强我们表征影响蚊子行为和繁殖栖息地的近地面水分的能力。该系统将通过两项案例研究实施和测试：一个重点是埃塞俄比亚阿姆哈拉地区的疟疾，另一个集中在北部大平原的西尼罗河病毒上。在这两个案例研究中，我们都将积极与来自政府机构和非政府组织的公共卫生从业人员合作，以获取有关决策支持工具的可用性以及所提供的环境信息的价值的反馈。我们预计，该项目提供的信息将为减轻两个案例研究领域中蚊子传染病的负担做出重大贡献，并且该系统还将作为未来努力在流行病学和公共卫生领域应用地球观察技术的努力的模型。 公共卫生相关性：蚊子传染病是世界许多地方的主要公共卫生问题。疟疾是埃塞俄比亚的主要健康问题，每年发生超过500万例病例。西尼罗河病毒是美国主要的蚊子传播疾病，在大平原北部的人类疾病发病率特别高。疾病监测和早期检查系统的发展可以通过识别高风险区域并允许公共卫生从业人员优先考虑蚊子控制和其他预防疾病的努力来帮助减轻这些疾病的负担。