Developing and Applying Analytical Models of Influenza Transmission
流感传播分析模型的开发和应用
基本信息
- 批准号:10471989
- 负责人:
- 金额:$ 21.58万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2021
- 资助国家:美国
- 起止时间:2021-09-01 至 2026-05-31
- 项目状态:未结题
- 来源:
- 关键词:AccountingAddressAerosolsAirAir MovementsBiological AssayBiostatistics CoreBreathingCaliberCarbon DioxideChestClinicalCohort StudiesControlled EnvironmentCore FacilityCoupledDataData SetDepositionDevelopmentDisinfectionDoseEnvironmentEnvironmental MonitoringEquationExhalationExperimental DesignsExposure toFaceFerretsFormulationGenerationsGermicideHouseholdHumanHumidityIndoor environmentInfluenzaInterventionInvestigationKnowledgeLinkLiquid substanceLocationMeasurableMeasurementMeasuresModelingNatureParticipantParticle SizePositioning AttributePreventionProcessPublic HealthRandomized Controlled TrialsResearch Project GrantsRiskRouteSamplingSanitationScientistShapesSourceSpatial DistributionTechnologyTemperatureTestingTimeTranslatingTranslationsValidationViralVirusVirus SheddingWorkaerosolizedanalytical toolbasecohortdata collection sitedesignexperimental studyfield studyflu transmissionhuman subjectinfection rateinfluenzavirusinnovative technologiesnovelparticlesample collectionsubmicrontherapy designtooltransmission processuser-friendlyventilationviral transmissionweb-based tool
项目摘要
Our current scientific knowledge indicates the importance of influenza transmission via exhaled viral bioaerosols
over short and long ranges in indoor environments. The turbulent nature of indoor airflows coupled with the
dynamic nature of exhaled bioaerosol sources and the poor understanding of fundamental source terms
(including distribution of infective virus by aerosol size and number of viral particles per aerosol) creates
difficulties in predicting and tracking aerosol-driven transmission. To address this challenge, novel sampling,
collection, and infective virus assay technologies developed in the Advanced Bioaerosol Technology Core
(ABTC) will allow the Clinical and Biostatistics Core (CBC) and Research Project 1 (RP1) to design and
implement a cohort study capable of collecting critical data sets from both the cohort human subject exhaled
breath and the controlled environment of the clinical facility where the cohort study will take place. Based on
these critical datasets, Research Project 2 (RP2) will develop both well-mixed and high-fidelity analytical models
for deployment in other cohort studies and physical tracking of viral bioaerosol from cohort donors to the
recipients. This direct physical bioaerosol link is important to track actual exposure of recipients to viral
bioaerosols based on both data and high -fidelity models. Furthermore, this link will enable translation of both
cohort data and high-fidelity model results into well-mixed analytical models capable of accounting of quanta
(dose) for modeling of risk of influenza transmission. A careful design of the cohort study experiment setup in
the clinical facility is the first aim in this RP2 project (Aim 1). The setup design will include on-site data collection
on ventilation rates and installation of environmental controls with UV air disinfection. Furthermore,
Computational Fluid Dynamics (CFD) models will allow to define a face shield shape that will block sprayborne
exposure with minimal impact on aerosols. The cohort study in RP1 will use both the identified face shield shape
and the environmental controls for the interventions. The data from the intervention cohort studies will support
the second aim in RP2 focused on analytical modeling of aerosol-driven transmission of influenza (Aim 2). In
this most important aim of RP2, we will characterize the quanta (dose) that resulted in recipient cases of
influenza, allowing us to link the dose to both bioaerosol shedding rate from exhaled breath measurements and
environment aerosol fate. The aerosol concentration and ultimately aerosol fate will be available through
validated high-fidelity modeling of temporal and spatial distributions of bioaerosols. A rigorous validation process
of our high-fidelity models will use both continuously monitored environmental data (CO2, temperature, humidity)
and viral bioaerosol data. These unique data sets will allow the team to create different type of influenza
transmission models to distinguish between the short and long range bioaerosols. The final step is to extend our
analytical models to other environments such as household cohort and ferret influenza studies. RP2 will provide
both analytical models and a web-based tool for user-friendly access in the field.
我们目前的科学知识表明,通过呼出的病毒生物气溶胶传播流感的重要性
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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Jelena Srebric其他文献
Jelena Srebric的其他文献
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{{ truncateString('Jelena Srebric', 18)}}的其他基金
Developing and Applying Analytical Models of Influenza Transmission
流感传播分析模型的开发和应用
- 批准号:
10260850 - 财政年份:2021
- 资助金额:
$ 21.58万 - 项目类别:
Developing and Applying Analytical Models of Influenza Transmission
流感传播分析模型的开发和应用
- 批准号:
10645170 - 财政年份:2021
- 资助金额:
$ 21.58万 - 项目类别:
An Indoor Environment Design Tool for Entire Buildings
整栋建筑的室内环境设计工具
- 批准号:
6598115 - 财政年份:2001
- 资助金额:
$ 21.58万 - 项目类别:
An Indoor Environment Design Tool for Entire Buildings
整栋建筑的室内环境设计工具
- 批准号:
6683325 - 财政年份:2001
- 资助金额:
$ 21.58万 - 项目类别:
An Indoor Environment Design Tool for Entire Buildings
整栋建筑的室内环境设计工具
- 批准号:
6370187 - 财政年份:2001
- 资助金额:
$ 21.58万 - 项目类别:
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