Data, Biostatistics & Modeling Core

Information

  • Research Project
  • 9263461
  • ApplicationId
    9263461
  • Core Project Number
    U19AI129392
  • Full Project Number
    1U19AI129392-01
  • Serial Number
    129392
  • FOA Number
    RFA-AI-15-056
  • Sub Project Id
    5657
  • Project Start Date
    -
  • Project End Date
    -
  • Program Officer Name
  • Budget Start Date
    4/1/2017 - 7 years ago
  • Budget End Date
    3/31/2018 - 6 years ago
  • Fiscal Year
    2017
  • Support Year
    01
  • Suffix
  • Award Notice Date
    4/28/2017 - 7 years ago
Organizations

Data, Biostatistics & Modeling Core

The Data, Biostatistics & Modelling Core will act as a repository for data collected during the field-based projects, enabling efficient linking of epidemiological, molecular, immunological and other biological data measured from the participants. Mathematical models will play an integral role: analysing collected data to generate hypotheses which will be verified or falsified against subsequently collected data. In Project 1: Epidemiology, data collected during the initial cross-sectional surveys in Papau New Guinea, Thailand and Cambodia will be used to inform the design of various surveillance strategies. The potential effectiveness of these strategies as interventions to reduce malaria transmission will be simulated using data driven mathematical models of P. vivax and P. falciparum transmission. The most promising strategies will then be taken forward for testing in field trials. Mathematical models will also make an important contribution to Project 3: Relapse. Samples collected during longitudinal studies will be genotyped to provide a detailed understanding of the dynamics of P. vivax and P. falciparum infection. The combination of epidemiological data and genotyping methods will not allow for definitive classification of P. vivax infections into relapses, re-infections, or recrudescences. Instead, this classification will be done probabilistically using a specially designed within-host mathematical model. This model will generate probabilistic phenotypes which can be compared to a wide range of potential genotypic markers.

IC Name
NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES
  • Activity
    U19
  • Administering IC
    AI
  • Application Type
    1
  • Direct Cost Amount
    38800
  • Indirect Cost Amount
    4988
  • Total Cost
  • Sub Project Total Cost
    43788
  • ARRA Funded
    False
  • CFDA Code
  • Ed Inst. Type
  • Funding ICs
    NIAID:43788\
  • Funding Mechanism
    Non-SBIR/STTR RPGs
  • Study Section
    ZAI1
  • Study Section Name
    Special Emphasis Panel
  • Organization Name
    INSTITUT PASTEUR
  • Organization Department
  • Organization DUNS
    278151154
  • Organization City
    PARIS
  • Organization State
  • Organization Country
    FRANCE
  • Organization Zip Code
    75015
  • Organization District
    FRANCE