This research proposal, entitled ?Familial force of infection and dengue disease burden in Thailand? involves studies in the United States and Thailand to understand how members within a family of all ages respond to exposure to dengue virus and what their clinical outcome is if infected. This is a unique study following 500 families and approximately 3,000 family members in Northern Thailand over a total of 10 years to understand how people?s response to infection changes over time and to different types of dengue virus. This study will allow us to understand the immune response from multiple ages in one family; understand how people are protected from infection or not; and determine the factors on how dengue is spread in the population. This project is a unique opportunity to follow families across 10 years of intense exposure to dengue transmission in an area hyperendemic for dengue. Project activities focus on defining the familial burden of dengue infection, understanding the role of herd immunity in transmission dynamics, and identifying correlates of protection and correlates of disease severity. These activities are derived from our central objectives of understanding dengue pathogenesis and identifying risk factors for infection and transmission. This project and its objectives are highly relevant to the overall objectives of the Program Project which are to advance methods to prevent and treat dengue-related infection and illness.

Agency
National Institute of Health (NIH)
Institute
National Institute of Allergy and Infectious Diseases (NIAID)
Type
Research Program Projects (P01)
Project #
5P01AI034533-28
Application #
9980773
Study Section
Special Emphasis Panel (ZAI1)
Project Start
1997-01-01
Project End
2023-07-31
Budget Start
2020-08-01
Budget End
2021-07-31
Support Year
28
Fiscal Year
2020
Total Cost
Indirect Cost
Name
University of Rhode Island
Department
Type
DUNS #
144017188
City
Kingston
State
RI
Country
United States
Zip Code
02881
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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