International Population and Agricultural Census Data for Environmental Health Research
International Population and Agricultural Census Data for Environmental Health Research
批准号:
10566349
负责人:
Kathryn Grace
金额:
$65.86万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2022
资助国家:
美国
项目状态:
未结题
起止时间:
2022-12-23 至 2027-10-31
关键词:
AddressAgricultureCensusesCessation of lifeCharacteristicsCodeCollectionCommunitiesComplexComputer softwareCountryDataData SetDatabase Management SystemsDatabasesDecision MakingDemographic and Health SurveysDengue InfectionDisciplineEducationEducational workshopEmploymentEnhancement TechnologyEnsureEnvironmental ExposureEnvironmental HealthEnvironmental Risk FactorFarmFoundationsFundingGeographic Information SystemsGeographyGoalsHealthHealth PolicyHealth SciencesHealth StatusHealth SurveysHousingHumanIndividualInfrastructureIngestionInternationalInvestmentsLinkLocationMeasurementMetadataMonitorNational Institute of Environmental Health SciencesNatural DisastersPatternPerformancePersonal SatisfactionPersonsPolicy DevelopmentsPopulationPopulation CharacteristicsProcessProductivityPublicationsPublishingReadingReportingResearchResearch PersonnelRiskScienceStandardizationStrategic PlanningSurveysTimeTrainingUnited States National Institutes of HealthVector-transmitted infectious diseaseVulnerable PopulationsWorkagricultural activitybasecareerclimate changeclimate impactclimate-related healthdemographicsdesignfallsfood insecurityglobal environmentglobal healthhealth datahealth disparityheterogenous dataimprovednegative affectonline tutorialoutreachprogramspublic health researchsocioeconomicssoftware developmentspatiotemporaltoolusabilityuser-friendlyvirtualweb based interfacewebinar
中文摘要
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英文摘要
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.
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