The Administrative Core will supervise and coordinate the overall operation and scientific progress of the Program Project and support each of the component Projects and Cores. The specific functions of the Administrative Core are: 1. to oversee and foster communication among the scientists involved in the individual Projects; 2. to provide core statistical services to the individual Projects and Core A laboratory for data management, quality control, and advanced statistical analyses; 3. to coordinate periodic review of the Program Project by internal and external advisory committees; 4. to coordinate financial, regulatory, and scientific reporting to NIAID and other supervising authorities; and 5. to coordinate publication of scientific results and data sharing with the research community. The Administrative Core will be led by experienced senior investigators with >12 years of involvement in this research program. An Administrative Core led by senior investigators is needed to properly coordinate the research activities of this diverse international research team. The Core provides services for communication, data management and analysis, and periodic Program review in support of the other Projects and Cores that make up the research program.

Agency
National Institute of Health (NIH)
Institute
National Institute of Allergy and Infectious Diseases (NIAID)
Type
Research Program Projects (P01)
Project #
5P01AI034533-18
Application #
8245025
Study Section
Special Emphasis Panel (ZAI1)
Project Start
Project End
Budget Start
2011-04-01
Budget End
2012-03-31
Support Year
18
Fiscal Year
2011
Total Cost
$1
Indirect Cost
Name
University of Massachusetts Medical School Worcester
Department
Type
DUNS #
603847393
City
Worcester
State
MA
Country
United States
Zip Code
01655
Park, Sangshin; Srikiatkhachorn, Anon; Kalayanarooj, Siripen et al. (2018) Use of structural equation models to predict dengue illness phenotype. PLoS Negl Trop Dis 12:e0006799
Salje, Henrik; Cummings, Derek A T; Rodriguez-Barraquer, Isabel et al. (2018) Reconstruction of antibody dynamics and infection histories to evaluate dengue risk. Nature 557:719-723
Kang, Jeon-Young; Aldstadt, Jared (2017) The Influence of Spatial Configuration of Residential Area and Vector Populations on Dengue Incidence Patterns in an Individual-Level Transmission Model. Int J Environ Res Public Health 14:
Srikiatkhachorn, Anon; Mathew, Anuja; Rothman, Alan L (2017) Immune-mediated cytokine storm and its role in severe dengue. Semin Immunopathol 39:563-574
Rattanamahaphoom, Jittraporn; Leaungwutiwong, Pornsawan; Limkittikul, Kriengsak et al. (2017) Activation of dengue virus-specific T cells modulates vascular endothelial growth factor receptor 2 expression. Asian Pac J Allergy Immunol 35:171-178
Kalayanarooj, Siripen; Rothman, Alan L; Srikiatkhachorn, Anon (2017) Case Management of Dengue: Lessons Learned. J Infect Dis 215:S79-S88
Moulton, Steven L; Mulligan, Jane; Srikiatkhachorn, Anon et al. (2016) State-of-the-art monitoring in treatment of dengue shock syndrome: a case series. J Med Case Rep 10:233
Srikiatkhachorn, Anon; Yoon, In-Kyu (2016) Immune correlates for dengue vaccine development. Expert Rev Vaccines 15:455-65
Rothman, Alan L; Ennis, Francis A (2016) Dengue Vaccine: The Need, the Challenges, and Progress. J Infect Dis 214:825-7
Townsley, E; O'Connor, G; Cosgrove, C et al. (2016) Interaction of a dengue virus NS1-derived peptide with the inhibitory receptor KIR3DL1 on natural killer cells. Clin Exp Immunol 183:419-30

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