Environmental Surveillance Core

环境监测核心

• 批准号: 8299635
• 负责人: Gregory E Glass
• 金额: $ 8.68万
• 依托单位: JOHNS HOPKINS UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-07-01 至 2017-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8299635
• 关键词: Affect; Biology; Biostatistics Core; Build-it; Collaborations; Country; Data; Data Set; Databases; Disease; Ensure; Environment; Environmental Risk Factor; Epidemiology; Geographic Information Systems; Glass; Household; Human; Ice; Imagery; Individual; Link; Location; Malaria; Measures; Modeling; Online Systems; Outcome; Outcome Measure; Parasites; Parasitology; Physical environment; Positioning Attribute; Precipitation; Research; Research Personnel; Resolution; Resources; Risk; Rural; Sampling; Scientist; Security; Social Environment; Southern Africa; System; Technology; Temperature; Testing; Time; Training; Transportation; Water; Water Movements; data modeling; data sharing; design; disease transmission; field study; population based; theories; transmission process; vector

The Environmental Surveillance Core (ESC) serves as a resource for fleld studies planned in the Epidemiology, Vector Biology and Parasitology projects. It provides an environmental and spatial context for sampling designs used in these projects and a framework to help ensure that these projects are well integrated with one another. The ESC uses various spatially registered data bases that are linked within a geographic information systems (GIS) environment to provide its sen/ice. For example, high resolution remotely sensed (RS) data are used to enumerate and locate households in either rural or periurban environments (depending on sampling needs) to provide both a sampling frame and representative samples for conducting population based studies. These environmental data also can be used to generate up to date information on various features, such as transportation networks, and temperature and precipitation regimes that are otherwise unavailable for the region under study. The ESC also links the outcomes of the population based studies with spatio-temporally associated environmental data that are used in subsequent analyses by the projects to identify factors associated with aspects of malaria transmission and disease. Additionally, the ESC can provide new, appropriately downscaled data for individual projects to test hypotheses as new theories are developed. For example, the ESC provides the ability to generate hydrologic models of water movement across the landscape to identify where water will accumulate. The ESC can combine the model results with field observations to identify the optimal model and data inputs, for various measures of malaria risk. The ESC uses a web-based system to incorporate the data sets generated by the project leaders and provide a mechanism both to link all the project data and the environmental data within a single context for data transfer and visualization.

环境监察核心（ESC）为计划在香港进行的实地研究提供资源