Integrating epidemiologic and environmental approaches to understand and predict Coccidioides exposure and coccidioidomycosis emergence
整合流行病学和环境方法来了解和预测球孢子菌暴露和球孢子菌病的出现
基本信息
- 批准号:10532733
- 负责人:
- 金额:$ 74.14万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2019
- 资助国家:美国
- 起止时间:2019-12-09 至 2024-11-30
- 项目状态:已结题
- 来源:
- 关键词:AddressAirAreaCaliforniaCessation of lifeChargeChronicClimateClimatologyCoccidioidesCoccidioides immitisCoccidioides posadasiiCoccidioidomycosisCrossover DesignDataData CollectionDevelopmentDiseaseDisease OutbreaksDoseDroughtsDustEconomic BurdenEconomicsElderlyEnvironmentEnvironmental Risk FactorEnvironmental WindEpidemicEpidemiologyEventExposure toFutureGoalsHeterogeneityHigh temperature of physical objectHospitalizationHumanIncidenceIndividualInfectionInfection preventionInfluenzaInhalationKnowledgeLaboratoriesLung infectionsMeasuresMeningitisMethodsModelingMonitorPathogen detectionPatternPerformancePersonsPopulationPopulation AnalysisProliferatingPublic HealthRainRecordsReproduction sporesResearchResolutionRetrospective cohortRiskRisk FactorsSamplingSeasonsSocial ConditionsSoilSourceSubgroupSymptomsTestingTimeVariantVulnerable Populationsburden of illnessdensitydesignenvironmental interventionexperiencefungushigh riskinfection rateinfection risknovelpathogenpathogen exposurepredictive modelingprospectiveremote sensingresponsesociodemographicsspatiotemporalstatistical and machine learningtemporal measurementtimelinetransmission process
项目摘要
Project Summary
Coccidioidomycosis is an infection caused by inhalation of spores from the soil-dwelling fungi Coccidioides
immitis or C. posadasii, and can lead to chronic lung infection, meningitis, or death. Southwestern states are
currently experiencing among the highest incidence rates of coccidioidomycosis ever recorded. The disease
has levied a substantial human and economic burden throughout the southwest, totaling an estimated $2.2
billion in charges in California alone for coccidioidomycosis-associated hospitalizations from 2000-2011.
Critical gaps in understanding have hindered the public health response, including how dust, pathogen, and
individual risk factors interact to determine disease incidence, as well as how environmental factors influence
the distribution of the pathogen and dust. To address these gaps, this project investigates the impacts of dust
exposure, environmental variability, and sociodemographic change on Coccidioides spp. proliferation,
dispersion, and coccidioidomycosis infection rates in California. The research focuses on three main aims: 1)
investigate the influence of climate variation and dust exposure on the spatiotemporal distribution of cocci
incidence using >65,000 geolocated surveillance records from 2000 to 2018 and a case-crossover design; 2)
identify environmental sources of C. immitis at high spatial and temporal resolution in disturbed and
undisturbed soil, and determine how wind, rainfall, soil disturbance and other factors influence spore dispersion
through longitudinal sampling of C. immitis in air and soil; and 3) predict changes in pathogen density over
space and time and estimate the exposure-response relationship between pathogen density and risk of
infection using a case-crossover approach with prospective surveillance for incident cases. In pursuit of these
aims, the research will combine georeferenced coccidioidomycosis case data across California since 2000 at
an unprecedented spatial resolution with fine-scale dust concentration estimates and environmental data from
a combination of remote sensing, modeling and ground monitors. We will use novel field and laboratory
methods to conduct longitudinal sampling of C. immitis in air and soil, determining how microenvironmental
conditions and cyclical patterns of rainfall and drought determine pathogen source dynamics, and identifying
conditions that support pathogen dispersion through the air. Through these activities, we will identify the
specific dust conditions that pose the greatest risk for infection, estimate pathogen exposure and the dose-
response relationship, and evaluate heterogeneity in this relationship across risk groups and regions. The
results will elucidate drivers of the current epidemic, enhance understanding of the distribution and dispersion
of Coccidioides spp. in the environment, and identify high risk regions and subpopulations. The knowledge
gained will support decision-makers in targeting, designing and implementing protective measures for
vulnerable populations.
项目摘要
球孢子菌病是一种感染所造成的吸入孢子从土壤居住的真菌球孢子
immitis或C. posadasii,并可能导致慢性肺部感染,脑膜炎或死亡。西南部各州是
目前正在经历有史以来最高的球孢子菌病发病率。疾病
在整个西南地区造成了巨大的人力和经济负担,估计总额为2.2美元。
仅在加州,2000-2011年,就有10亿美元的费用用于球孢子菌病相关的住院治疗。
认识上的重大差距阻碍了公共卫生反应,包括灰尘、病原体和
个体风险因素相互作用决定疾病发病率,以及环境因素如何影响
病原体和灰尘的分布。为了解决这些差距,该项目调查了灰尘的影响,
暴露、环境变异性和社会人口学变化对球孢子菌属的影响扩散,
分散和球孢子菌感染率在加州。本研究主要有三个目的:(1)
探讨气候变化和粉尘暴露对球菌时空分布的影响
使用2000年至2018年超过65,000份地理定位监测记录和病例交叉设计的发病率; 2)
确定C.高空间和时间分辨率,
原状土壤,并确定风,降雨,土壤扰动和其他因素如何影响孢子分散
通过纵向取样,空气和土壤中的病原体密度变化; 3)预测
空间和时间,并估计病原体密度与风险之间的因果关系,
使用病例交叉方法,对事件病例进行前瞻性监测。为了实现这些
目的是,该研究将联合收割机自2000年以来加州州的地理参考球孢子菌病病例数据,
一个前所未有的空间分辨率与细尺度粉尘浓度估计和环境数据,
遥感、建模和地面监测相结合。我们将使用新的领域和实验室
方法采用纵向抽样的方法对C.在空气和土壤中,确定微环境如何
降雨和干旱的条件和周期性模式决定病原体源动态,
支持病原体通过空气传播的条件。通过这些活动,我们将确定
造成最大感染风险的特定粉尘条件,估计病原体暴露和剂量-
反应关系,并评估这种关系在不同风险群体和地区的异质性。的
结果将阐明当前流行病的驱动因素,加强对分布和分散的理解,
球孢子菌属并确定高风险区域和亚群。知识
将支持决策者针对、设计和实施保护措施,
弱势群体。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Justin V Remais其他文献
Justin V Remais的其他文献
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{{ truncateString('Justin V Remais', 18)}}的其他基金
Integrating epidemiologic and environmental approaches to understand and predict Coccidioides exposure and coccidioidomycosis emergence
整合流行病学和环境方法来了解和预测球孢子菌暴露和球孢子菌病的出现
- 批准号:
10894510 - 财政年份:2019
- 资助金额:
$ 74.14万 - 项目类别:
Integrating epidemiologic and environmental approaches to understand and predict Coccidioides exposure and coccidioidomycosis emergence
整合流行病学和环境方法来了解和预测球孢子菌暴露和球孢子菌病的出现
- 批准号:
10582097 - 财政年份:2019
- 资助金额:
$ 74.14万 - 项目类别:
Integrating epidemiologic and environmental approaches to understand and predict Coccidioides exposure and coccidioidomycosis emergence
整合流行病学和环境方法来了解和预测球孢子菌暴露和球孢子菌病的出现
- 批准号:
10307540 - 财政年份:2019
- 资助金额:
$ 74.14万 - 项目类别:
Integrating epidemiologic and environmental approaches to understand and predict Coccidioides exposure and coccidioidomycosis emergence
整合流行病学和环境方法来了解和预测球孢子菌暴露和球孢子菌病的出现
- 批准号:
10411618 - 财政年份:2019
- 资助金额:
$ 74.14万 - 项目类别:
Integrating epidemiologic and environmental approaches to understand and predict Coccidioides exposure and coccidioidomycosis emergence
整合流行病学和环境方法来了解和预测球孢子菌暴露和球孢子菌病的出现
- 批准号:
10065493 - 财政年份:2019
- 资助金额:
$ 74.14万 - 项目类别:
Integrating Epidemiologic and Environmental Approaches to Understand and Predict Coccidioides Exposure and Coccidioidomycosis Emergence
整合流行病学和环境方法来了解和预测球孢子菌暴露和球孢子菌病的出现
- 批准号:
10116673 - 财政年份:2019
- 资助金额:
$ 74.14万 - 项目类别:
Integrating epidemiologic and environmental approaches to understand and predict Coccidioides exposure and coccidioidomycosis emergence
整合流行病学和环境方法来了解和预测球孢子菌暴露和球孢子菌病的出现
- 批准号:
10728903 - 财政年份:2019
- 资助金额:
$ 74.14万 - 项目类别:
Models for improving surveillance of environmentally-mediated infectious diseases
改善环境介导的传染病监测的模型
- 批准号:
8209154 - 财政年份:2011
- 资助金额:
$ 74.14万 - 项目类别:
Models for improving surveillance of environmentally-mediated infectious diseases
改善环境介导的传染病监测的模型
- 批准号:
8415962 - 财政年份:2011
- 资助金额:
$ 74.14万 - 项目类别:
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