Geospatial Processing System for Social and Environmental Health Research

用于社会和环境健康研究的地理空间处理系统

• 批准号: MR/X013332/1
• 负责人: Daniela Fecht
• 金额: $ 17.55万
• 依托单位: Imperial College London
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2022
• 资助国家: 英国
• 起止时间: 2022 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=MR%2FX013332%2F1
• 关键词: Geospatial; Processing; System; Social; Environmental

Our current and future health is strongly influenced by our social and physical environment. Changes in income, housing, and environmental exposures are linked to health inequalities but are potentially changeable and preventable through evidence-based interventions. Identifying and understanding the social and environmental factors which impact on the nation's health is, therefore, essential to help reducing health inequalities. This requires highly accurate modelling of environmental exposure and social factors for each resident in the UK, and the linkage of these to patient records, cohort participants and administrative health systems, via the residential address. To enable this, state of the art capacity and capabilities to securely store, process, analyse and share large amounts of data are needed, but are currently not available at Imperial College London.We propose establishing a Geospatial Processing System for Social and Environmental Health Research (GeoPS) at Imperial College London, a stand-alone, high-performance solution to model address-level social and environmental data and securely link these to individual health records. The GeoPS will provide the storage capacity, memory, and processing power to model exposure to air pollution, noise, housing quality and greenspace for each address in the UK using novel methods and data, including from satellites and Google Street View images. Such models already exist or are currently under development at the MRC Centre for Environment and Health at Imperial College, but the capacity to scale these up to the national level is missing. The GeoPS will follow information government requirements on the save and secure handling of personal information to maintain patient confidentiality. This allows us to link the constructed exposure profiles to the ~300 million individual records that are stored in health data bases at the UK Small Area Health Statistics Unit, Imperial College, and contain information on deaths and birth from the Office for National Statistics and Hospital Episode Statistics from NHD Digital. Linkage is also planned to established Imperial College hosted longitudinal population studies.These linked data resources will enable advanced epidemiological analyses to guide policy, public health and services to improve the nation's health. Establishing such equipment and infrastructure in house, will enable us to act at pace to emerging social and environmental health issues and provide timely epidemiological evidence to Directors of Public Health, the UK Health Security Agency and policy makers in local and national governments.

我们现在和未来的健康受到我们的社会和物理环境的强烈影响。收入、住房和环境暴露的变化与健康不平等有关，但通过循证干预措施，这些变化是可以改变和预防的。因此，确定和了解影响国家健康的社会和环境因素对帮助减少健康不平等至关重要。这需要对英国每位居民的环境暴露和社会因素进行高度准确的建模，并通过居住地址将这些因素与患者记录、队列参与者和行政卫生系统联系起来。为了实现这一点，需要最先进的能力和能力，以安全地存储，处理，分析和共享大量的数据，但目前还没有在帝国理工学院伦敦。我们建议建立一个地理空间处理系统的社会和环境健康研究（GeoPS）在帝国理工学院伦敦，一个独立的，高性能解决方案，用于对地址级社会和环境数据进行建模，并将这些数据安全地链接到个人健康记录。GeoPS将提供存储容量、内存和处理能力，使用新的方法和数据（包括卫星和谷歌街景图像），为英国每个地址的空气污染、噪音、住房质量和绿地建模。帝国理工学院的MRC环境与健康中心已经存在或正在开发此类模型，但缺乏将这些模型推广到国家层面的能力。GeoPS将遵循信息政府关于保存和安全处理个人信息的要求，以维护患者的机密性。这使我们能够将构建的暴露概况与存储在帝国理工学院英国小区域健康统计单位健康数据库中的约3亿条个人记录联系起来，并包含来自国家统计局的死亡和出生信息以及来自NHD Digital的医院事件统计数据。还计划与帝国理工学院主办的纵向人口研究建立联系，这些联系起来的数据资源将使先进的流行病学分析能够指导政策、公共卫生和服务，以改善国家的健康。在内部建立这样的设备和基础设施，将使我们能够对新出现的社会和环境健康问题采取行动，并向公共卫生主任、英国卫生安全局以及地方和国家政府的决策者提供及时的流行病学证据。