Spatio-temporal models of allergenic pollen for human exposure and health investigations
用于人类暴露和健康调查的致敏花粉时空模型
基本信息
- 批准号:9355464
- 负责人:
- 金额:$ 6.06万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2016
- 资助国家:美国
- 起止时间:2016-09-01 至 2019-08-31
- 项目状态:已结题
- 来源:
- 关键词:AcerAcer negundoAddressAdmission activityAffectAllergic ReactionAmbrosiaAmericanAreaAsthmaChildCitiesCohort StudiesCountyDataData SetDatabasesDevelopmentDimensionsEmergency department visitExposure toGoalsHabitatsHealthHeterogeneityHospitalsHumanHypersensitivityIndividualInvestigationKnowledgeLeadLinkLiteratureLow incomeLung diseasesMeasurementMeasuresMedicaidMeteorologyModelingMonitorMorusMunicipalitiesNorwayPatternPharmaceutical PreparationsPlant SourcesPlantsPollenProcessProductionPublic HealthResearchRespiratory Signs and SymptomsRiskSamplingSourceSurveysSymptomsTestingTreesUnited StatesVariantVisitbasecase controlcitizen scienceeconomic costexperienceexposed human populationfield studyhealth disparityland usemeterminority communitiesnovelpredictive modelingprogramspulmonary functionrespiratoryrespiratory healthspatiotemporalurban area
项目摘要
4.4.7: Project Summary
Pollen allergies afflict over 35 million Americans, and the economic cost of treating these
allergies exceeds 12 billion dollars annually. The effects on human health are considerable
because pollen exposure also increases the risk of developing asthma and can trigger fatal
asthma attacks. Despite the importance of these public health concerns, urban areas are filled
with plants that produce allergenic pollen, many of which are intentionally cultivated. This
preventable situation is caused by a lack of knowledge concerning: 1) how pollen production and
dispersal from individual plants leads to heterogeneity in airborne allergenic pollen
concentrations on small spatial scales (e.g., tens to hundreds of meters); and 2) the extent to
which exposure to allergenic pollen is responsible for triggering asthma attacks and other
respiratory symptoms. This project's objective is to quantify these processes and show how
allergenic pollen producing plants affect human health. The main components of this research
include:
• Characterizing pollen production and spatial dispersal patterns using a pollen sampling
field study focused on Norway maple (Acer platanoides), white mulberry (Morus alba),
box elder (Acer negundo), and common ragweed (Ambrosia artemisiifolia);
• Creating a spatially explicit model of airborne pollen concentrations as a function of
plant composition using a comprehensive street tree database;
• Adding a temporal dimension to the spatial pollen count predictions using
meteorological data, daily pollen count data from a National Allergy Bureau pollen
counting station, and a small citizen science plant phenology monitoring program; and
• Linking pollen exposure to health effects including asthma attacks and respiratory
symptoms, using existing datasets collected in the study area, Detroit, MI. These include
respiratory related hospital visits extracted from geocoded Medicaid claims data and
cohort studies that tracked 255 children's respiratory health for >12 months.
Understanding the contribution of particular plants to pollen concentrations in urban areas has
will allow land owners, municipalities and others to actively manage plant composition to
reduce allergenic pollen exposure and its health effects. These translational benefits are
especially important in both highly vegetated and "shrinking" cities, such as Detroit, where large
vacant areas are providing habitat for allergenic plants that likely exacerbate health disparities.
4.4.7:项目总结
项目成果
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Daniel Sylvan Walker Katz其他文献
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{{ truncateString('Daniel Sylvan Walker Katz', 18)}}的其他基金
Spatio-temporal models of allergenic pollen for human exposure and health investigations
用于人类暴露和健康调查的致敏花粉时空模型
- 批准号:
9191743 - 财政年份:2016
- 资助金额:
$ 6.06万 - 项目类别:














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