Experimentally Guided Modeling and Simulation for Cholera Dynamics
霍乱动力学的实验引导建模和模拟
基本信息
- 批准号:9811932
- 负责人:
- 金额:$ 34万
- 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:2019-09-01 至 2023-08-31
- 项目状态:已结题
- 来源:
- 关键词:AddressAfricaAmericasAsiaBacteriaBacteriophagesBiologicalBiomedical EngineeringCholeraCholera ToxinClinical ResearchCommunicable DiseasesComplexComputer SimulationComputing MethodologiesDataDeveloping CountriesDevelopmentDisease ManagementDisease OutbreaksEnvironmentEpidemicEpidemiologyEvaluationEvolutionFoundationsFrequenciesGoalsGram-Negative BacteriaGuidelinesHigh Performance ComputingHumanHuman bodyIndividualKnowledgeKnowledge DiscoveryLinkMathematicsMethodsMicrobiologyMissionModelingNumeric Rating ScalePlayPolicy DevelopmentsPopulationPrevention programPreventive InterventionPublic HealthPublic Health AdministrationReportingResearchRiskRoleScienceSeveritiesShapesSolidSourceTheoretical StudiesTimeTriad Acrylic ResinUnited States National Institutes of HealthVibrio choleraeVibrio cholerae infectionViralVirulenceVirulentWorld Health Organizationdesigndisorder preventionexperimental studyimprovedinnovationinsightinterdisciplinary collaborationinterestintervention programknowledge baselaboratory experimentmathematical analysismathematical modelmodels and simulationpathogenresponsesimulationsuccesstransmission processwaterbornewaterborne infection
项目摘要
Project Summary/Abstract
Cholera, a severe waterborne infection caused by virulent strains of the bacterium Vibrio cholerae, remains
a significant public heath burden in the developing world. In recent years, it has expanded in Africa and
South Asia and re-emerged in the Americas, with an estimated 2 -- 4 million of cases per year reported by
the World Health Organization (WHO). Effective outbreak response and control strategies for cholera rely
on an analysis of the epidemiologic triad of pathogen, host, and environment and a deep understanding of
their underlying dynamics. There is currently a paucity of research examining such dynamics. Particularly,
the bacterial dynamics associated with the pathogen Vibrio cholerae are a critical, yet not well understood,
factor that shapes the complex epidemics and endemics of cholera. The overall objective of this proposal
is to establish a new mathematical and computational cholera modeling framework, guided by biological
experiments, to investigate the pathogen dynamics in the environment and within the human body. To
achieve this objective, we will pursue three specific aims: (1) Modeling the environmental bacterial
dynamics; (2) Modeling the within-host bacterial dynamics; and (3) Linking and computing the between-
host/within-host dynamics. The proposed research is significant because it is expected to vertically
advance our current understanding of cholera dynamics, particularly the bacterial evolution in the
environment and within the human body, which spans vastly different time scales and which is important
for the control and management of cholera. The approach is innovative in the development of a
sophisticated, multi-scale mathematical framework that incorporates detailed dynamics of the pathogen
evolution in the environment and pathogen-host interaction within the human body, and in the integration
of rigorous mathematical modeling and analysis, intensive and advanced computation, carefully designed
biological experiments, and realistic epidemic data. The project represents an interdisciplinary
collaboration among an applied and computational mathematician with long-term interest in cholera
modeling, a microbiologist, and a bioengineer. The success of this project will not only build a solid
knowledge base for the complex dynamics of cholera, but also provide important guidelines for the public
health administrations in disease management and policy development.
项目总结/文摘
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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Jin Wang其他文献
Jin Wang的其他文献
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{{ truncateString('Jin Wang', 18)}}的其他基金
Mathematical Modeling and Scientific Computing for Infectious Disease Research
传染病研究的数学建模和科学计算
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10793008 - 财政年份:2023
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Development of First-in-Class RIPK1 Degraders to Improve Cancer Immunotherapies
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10661495 - 财政年份:2022
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Development of First-in-Class RIPK1 Degraders to Improve Cancer Immunotherapies
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10503835 - 财政年份:2020
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10737768 - 财政年份:2020
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10412114 - 财政年份:2020
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Developing Novel Soluble Epoxide Hydrolase Inhibitors for the Treatment of Alzheimer's Disease
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- 批准号:
10663178 - 财政年份:2020
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Developing Novel Soluble Epoxide Hydrolase Inhibitors for the Treatment of Alzheimer's Disease
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10261446 - 财政年份:2020
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