International Population and Agricultural Census Data for Environmental Health Research

用于环境健康研究的国际人口和农业普查数据

• 批准号: 10566349
• 负责人: Kathryn Grace
• 金额: $ 65.86万
• 依托单位: UNIVERSITY OF MINNESOTA
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-12-23 至 2027-10-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10566349
• 关键词: Address; Agriculture; Censuses; Cessation of life; Characteristics; Code; Collection; Communities; Complex; Computer software; Country; Data; Data Set; Database Management Systems; Databases; Decision Making; Demographic and Health Surveys; Dengue Infection; Discipline; Education; Educational workshop; Employment; Enhancement Technology; Ensure; Environmental Exposure; Environmental Health; Environmental Risk Factor; Farm; Foundations; Funding; Geographic Information Systems; Geography; Goals; Health; Health Policy; Health Sciences; Health Status; Health Surveys; Housing; Human; Individual; Infrastructure; Ingestion; International; Investments; Link; Location; Measurement; Metadata; Monitor; National Institute of Environmental Health Sciences; Natural Disasters; Pattern; Performance; Personal Satisfaction; Persons; Policy Developments; Population; Population Characteristics; Process; Productivity; Publications; Publishing; Reading; Reporting; Research; Research Personnel; Risk; Science; Standardization; Strategic Planning; Surveys; Time; Training; United States National Institutes of Health; Vector-transmitted infectious disease; Vulnerable Populations; Work; agricultural activity; base; career; climate change; climate impact; climate-related health; demographics; design; falls; food insecurity; global environment; global health; health data; health disparity; heterogenous data; improved; negative affect; online tutorial; outreach; programs; public health research; socioeconomics; software development; spatiotemporal; tool; usability; user-friendly; virtual; web based interface; webinar

Project Summary/Abstract Understanding and mitigating the health impacts of climate change and other environmental exposures requires information on population and agricultural characteristics at the community level—a key scale for decision- making and action. Population and housing censuses and agricultural censuses provide in-depth, community- scale data on demographics, education, employment, and living conditions as well as on farming inputs, practices, and productivity. Currently, these data are difficult to access and use for research and decision- making. While nearly every country conducts regular censuses, the results are published independently by hundreds of statistical agencies, often in reports designed for reading rather than for analysis. The proposed project—the IPUMS International Historical Geographic Information System (IPUMS IHGIS)—will assemble these data in an analysis-ready, standardized, and fully documented collection and make them freely available via a user-friendly web-based interface. These data will allow researchers to better answer a wide range of environmental health questions, such as what population-level factors contribute to the spread of vector-borne disease or where people are particularly vulnerable to food insecurity. The project has four Aims: (1) Ingest population and agricultural census data. Using software developed with NSF funding, data and boundaries for approximately 25,000 additional tables from 250 censuses will be added to the IHGIS database, a ten-fold increase to the current collection. Data from countries most vulnerable to health impacts from climate change and providing the finest geographic detail available will be prioritized. (2) Enable linkages between census data and health data, allowing users to attach community-level census data to individual-level health survey data from the Demographic and Health Surveys, Performance Monitoring for Action surveys, and Multiple Indicator Cluster Surveys. The project will also develop a utility to provide geographic unit codes for user-uploaded coordinates, so researchers can link their own health data to IHGIS contextual data. (3) Improve standardization and integration across datasets to support comparisons across time and between countries. Enhancements to the software will enable filtering and selection based on topics and level of geographical detail, standardize units of measurement, and create integrated versions of selected data tables. (4) Support and expand the IHGIS user base through online tutorials, virtual and in-person workshops, webinars, and one-to-one user support to develop a broad community of new and established environmental-health researchers using IHGIS data. Outreach efforts will focus on reaching, training, and supporting a diverse—in background, discipline, and career stage— community of environmental health researchers. By providing rich, detailed, and expansive information on characteristics of populations around the world, IHGIS data will also further the NIEHS goals of developing a program in global environmental health and understanding health disparities and risks for vulnerable populations.

项目概要/摘要 了解并减轻气候变化和其他环境暴露对健康的影响需要 社区层面的人口和农业特征信息——决策的关键尺度 人口和住房普查以及农业普查提供了深入的社区普查。 有关人口、教育、就业和生活条件以及农业投入的规模数据， 目前，这些数据很难访问和用于研究和决策。 虽然几乎每个国家都会定期进行人口普查，但结果均由统计局独立发布。 数百个统计机构的报告通常是为了阅读而不是为了分析而设计的。 项目——IPUMS国际历史地理信息系统（IPUMS IHGIS）——将汇集 这些数据处于可分析、标准化且完整记录的集合中，并可供免费使用 通过用户友好的网络界面，这些数据将使研究人员能够更好地回答各种问题。 环境健康问题，例如人口层面的哪些因素导致病媒传播的疾病传播 该项目有四个目标：(1) 摄入。 使用由 NSF 资助、数据和边界开发的软件。 来自 250 次人口普查的大约 25,000 个额外表格将被添加到 IHGIS 数据库中，增加了十倍 增加目前收集的数据，来自最容易受到气候变化健康影响的国家。 并优先提供可用的最精细的地理细节 (2) 实现人口普查数据之间的联系。 和健康数据，允许用户将社区级人口普查数据附加到个人级健康调查数据中 人口和健康调查、行动调查绩效监测和多指标组 该项目还将开发一个实用程序，为用户上传的坐标提供地理单位代码， 这样研究人员就可以将自己的健康数据与 IHGIS 背景数据联系起来 (3) 提高标准化和水平。 跨数据集的集成，以支持跨时间和国家之间的比较。 软件将能够根据主题和地理详细程度进行过滤和选择，标准化单位 (4)支持和扩展IHGIS用户 通过在线教程、虚拟和现场研讨会、网络研讨会以及一对一的用户支持来开发 使用 IHGIS 数据的新老环境健康研究人员组成的广泛社区。 将专注于接触、培训和支持不同背景、学科和职业阶段的人 环境健康研究人员社区提供丰富、详细和广泛的信息。 IHGIS 数据还将进一步推动 NIEHS 的目标，即开发一个 全球环境健康和了解弱势群体的健康差异和风险的计划。