An Integrated 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: 8629907
• 负责人: MICHAEL C WIMBERLY
• 金额: $ 14.47万
• 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 2018-11-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8629907
• 关键词: Address; Africa South of the Sahara; Algorithms; Archives; Atlases; Bioinformatics; Biomedical Technology; Climate; Collection; Communicable Diseases; Communities; Computer Systems; Computer software; Culicidae; Data; Databases; Decision Making; Decision Support Model; Development; Disease; Disease Outbreaks; Early Diagnosis; Elements; Environment; Environmental Monitoring; Environmental Risk Factor; Epidemic; Epidemiology; Ethiopia; Future; Goals; Habitats; Health; Human; Information Systems; Internet; Knowledge; Link; Location; Malaria; Malaria prevention; Maps; Modeling; Mosquito-borne infectious disease; Online Systems; Pattern; Population; Population Surveillance; Process; Public Health; Public Health Informatics; Research; Resolution; Resources; Risk; Seasons; Sentinel; Site; System; Techniques; Testing; Time; United States; Virus Diseases; West Nile virus; Work; base; burden of illness; data acquisition; disorder risk; improved; indexing; new technology; novel; outcome forecast; public health relevance; remote sensing; response; surveillance data; tool; transmission process; trend

Project Summary In this renewal application, we will expand upon our ongoing research in which we successfully used satellite remote sensing to develop environmental models for mapping and forecasting mosquito-borne disease risk. As in the current project, our overarching goal is to reduce the gap between earth observation technologies and the biomedical fields by developing novel bioinformatics techniques and tools. The specific objective of our new project is to extend our work on the environmental modeling and forecasting of malaria risk by directly linking our existing environmental monitoring system with public health surveillance. Our overarching hypothesis is that an integrated approach to disease forecasting that combines elements of early warning (based on environmental risk factors) and early detection (based on patterns of disease cases) will be more effective than either approach alone, resulting in more accurate predictions that are useful to public health decision makers.. For this renewal we have chosen to focus on the Ethiopian Highlands because we believe that this approach to disease forecasting has the potential to make a particularly significant impact on public health decision-making in this region. We will address the following specific aims: SA1: Develop a web-based computer system for malaria epidemic forecasting that integrates epidemiological surveillance of malaria cases with environmental monitoring data from earth observing satellites; SA2: Test novel modeling and decision support approaches that combine multiple risk indicators based on seasonal climatic anomalies, lagged responses to environmental variability, and early detection of malaria epidemics; SA3: Develop and test interfaces for uploading surveillance data and visualizing malaria risk indicators in low-bandwidth environments. We will achieve these aims by developing the Epidemic Prognosis Incorporating Disease and Environmental Monitoring for Integrated Assessment (EPIDEMIA) computer system. This system will link our existing EASTWeb software for environmental monitoring with new subsystems for automated submission, processing, and summarization of malaria surveillance data. Novel algorithms will be developed and tested to generate forecasts using a combination of environmental risk factors and trends in malaria indicators, and a public health interface will be created to facilitate data acquisition from and dissemination of results to end users in low bandwidth environments. The EPIDEMIA system will be implemented and tested at a network of sentinel sites in the Amhara region of Ethiopia through our existing partnerships with the regional health bureau and a local NGO. We expect that the new tools and scientific knowledge gained through this research will ultimately be extendible to other regions to improve forecasting of future malaria epidemics support efforts toward malaria prevention, control, and ultimately elimination.

项目摘要 在此续订应用程序中，我们将扩展我们正在进行的研究中的研究 卫星遥感以开发用于映射和预测蚊子出生的环境模型 疾病风险。与当前项目一样，我们的总体目标是减少地球观察之间的差距 通过开发新型的生物信息学技术和工具，技术和生物医学领域。这 我们新项目的具体目标是扩展我们在环境建模和预测方面的工作 疟疾通过将我们现有的环境监测系统与公共卫生监视直接联系起来来冒险。 我们的总体假设是一种结合了疾病预测的综合方法，结合了 预警（基于环境风险因素）和早期检测（基于疾病模式 案例）将比单独的方法更有效，从而产生更准确的预测 对公共卫生决策者有用。对于这种续约，我们选择着重于埃塞俄比亚人 高地，因为我们认为这种疾病预测的方法有可能使 对该地区的公共卫生决策尤其重要。我们将解决以下内容 具体目的：SA1：开发基于网络的计算机系统，用于疟疾流行预测 疟疾病例的流行病学监测与环境监测的数据观测 卫星； SA2：测试新颖的建模和决策支持方法，结合了多个风险指标 基于季节性气候异常，对环境变异性的滞后响应以及早期发现 疟疾流行病； SA3：开发和测试用于上传监视数据和可视化疟疾的界面 低频带宽度环境中的风险指标。我们将通过发展流行病来实现这些目标 预后纳入了综合评估的疾病和环境监测（流行病） 计算机系统。该系统将将我们现有的EastWeb软件链接为环境监控 自动提交，处理和汇总疟疾监视数据的新子系统。 将开发和测试新颖的算法，以结合环境的组合生成预测 疟疾指标的危险因素和趋势，以及将创建公共卫生界面以促进数据 从低带宽环境中最终用户的结果从结果中获取和传播。流行病 系统将在埃塞俄比亚阿姆哈拉地区的前哨网站网络上实施和测试 通过我们与地区卫生局和当地非政府组织的现有合作伙伴关系。我们期望新的 通过这项研究获得的工具和科学知识最终将扩展到其他地区 改善对未来疟疾流行病的预测支持预防疟疾，控制和 最终消除。