EpiMapVis: A dynamic web-based climate change and remote sensing visualization an

描述（由申请人提供）：许多传染病和慢性疾病与环境具有潜在的时空关系，这对将其纳入公共卫生战略具有挑战性。气候变化和缺乏可操作信息的威胁日益加剧了这一挑战。获得相关地理空间数据、不同的数据来源以及缺乏数据可用性阻碍了许多健康调查纳入气候变化和环境数据。总体目标是开发EpiMapVis：一个动态的基于网络的气候变化和遥感信息可视化和分发系统。EpiMapVis旨在支持国家环境健康跟踪计划和更广泛的流行病学和环境健康应用，跟踪气候变化对健康的影响。来自SBIR的资金将用于EpiMapVis的设计和原型，以支持正在进行的加州环境公共卫生跟踪（CEHTP）项目活动。长期目标和目的是建立一个易于使用的基于网络的系统，以加强获取和使用气候变化信息和用于人类健康应用的业务遥感数据。EpiMapVis是一种交互式工具（不是数据门户），向公共卫生专业人员提供所需空间和时间尺度的气候和环境信息，促进将健康结果事件与危害联系起来。SBIR第一阶段的具体目标是建立一个技术框架，并评估将一套地理空间技术和气候变化信息用于流行病学和人类健康监测的可行性。该第一和第二阶段项目将直接与加州环境健康跟踪计划合作，在多个时空尺度上提供对气候变化信息和业务卫星遥感产品的交互式访问。EpiMapVis将使用现有的和经过良好验证的算法，使用NASA收集的免费卫星数据提供可操作的遥感产品。首先，与我们在加州EHTP的合作伙伴一起，我们将确定当前的信息差距，评估现有数据、卫星遥感产品、气候变化和短期天气信息需求以及尺度。其次，我们将确定整合不同数据集和操作（即自动化，预处理，允许定制，下载）免费NASA卫星遥感产品和来自耦合模式比对项目的主流气候变化模型结果的最佳方法。三是设计和测试基于开源PostgreSQL/PostGIS组件的web-GIS系统，为终端用户提供交互式的web工具和web服务。最终，EpiMapVis将为最终用户带来强大的气候和地理空间信息产品，以改善健康管理。

DESCRIPTION (provided by applicant): Many infectious diseases and chronic illnesses have underlying spatiotemporal relationships with the environment that are challenging to integrate into public health strategies. Compounding this challenge is the growing threat from climate change and lack of actionable information. Access to pertinent geospatial data, disparate data sources, and lack of data usability hinder many health investigations from incorporating climate change and environmental data. The overarching goal is to develop EpiMapVis: A dynamic web-based climate change and remote sensing information visualization and distribution system. EpiMapVis is designed to support National Environmental Health Tracking Programs and broader epidemiological and environmental health applications that track the health effects of climate change. Funding from this SBIR will be used to design and prototype EpiMapVis to support ongoing California Environmental Public Health Tracking (CEHTP) program activities. The long-term goal and objectives are to build an easy to use, web-based system to enhance access and use of climate change information and operational remote sensing data for human health applications. EpiMapVis is an interactive tool (not a data portal) that provides public health professionals with climate and environmental information at the desired spatial and temporal scales that facilitate the linkage of health outcome events with hazards. The specific aims of this SBIR Phase I are designed to establish a technical framework and evaluate feasibility for operationalizing a suite of geospatial technologies and climate change information for epidemiological and human health monitoring. This Phase I and II project will work directly with the California Environmental Health Tracking Program to provide interactive access to climate change information and operational satellite remote sensing products at multiple spatiotemporal scales. EpiMapVis will use existing and well-validated algorithms to deliver operational remote sensing products using free satellite data collected by NASA. First -with our partners at the California EHTP- we will identify current information gaps, evaluate existing data, satellite remote sensing products, climate change and short term weather information needs, and scales. Second, we will identify optimal approaches for integrating disparate datasets and operationalizing (i.e., automate, pre-process, enable customization, download) free NASA satellite remote sensing products and mainstream climate change model results from the Coupled Model Intercomparison Project. Third, we will design and test a web-GIS system based on open-source, PostgreSQL/PostGIS components to provide interactive web-tools and web-services for end-user consumption. Ultimately, EpiMapVis will bring powerful climate and geospatial information products to end-users for improved health management. PUBLIC HEALTH RELEVANCE: Many infectious diseases and chronic illnesses have underlying spatiotemporal relationships with the environment that are challenging to integrate into public health strategies. EpiMapVis will help address this challenge by providing spatial information on land cover, climate, climate change, land surface temperature and other environmental variables with web-based data visualization tools to increase our understanding of disease ecology and chronic illnesses.