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Stochastic Model of the Adaptive Immune Response Predicts Disease Severity and Captures Enhanced Cross-Reactivity in Natural Dengue Infections.
Nguyen, Hung D; Chaudhury, Sidhartha; Waickman, Adam T; Friberg, Heather; Currier, Jeffrey R; Wallqvist, Anders.
Affiliation
  • Nguyen HD; Biotechnology High Performance Computing (HPC) Software Applications Institute, Telemedicine and Advanced Technology Research Center, U.S. Army Medical Research and Development Command, Fort Detrick, MD, United States.
  • Chaudhury S; Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, United States.
  • Waickman AT; Center for Enabling Capabilities, Walter Reed Army Institute of Research, Silver Spring, MD, United States.
  • Friberg H; Department of Microbiology and Immunology, State University of New York Upstate Medical University, Syracuse, NY, United States.
  • Currier JR; Viral Diseases Branch, Walter Reed Army Institute of Research, Silver Spring, MD, United States.
  • Wallqvist A; Viral Diseases Branch, Walter Reed Army Institute of Research, Silver Spring, MD, United States.
Front Immunol ; 12: 696755, 2021.
Article in En | MEDLINE | ID: mdl-34484195
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Full text: 1 Database: MEDLINE Main subject: Models, Immunological / Cross Reactions / Dengue / Dengue Virus / Adaptive Immunity / Antibodies, Viral Type of study: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limits: Child / Humans Language: En Journal: Front Immunol Year: 2021 Type: Article Affiliation country: United States
Fulltext
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Full text: 1 Database: MEDLINE Main subject: Models, Immunological / Cross Reactions / Dengue / Dengue Virus / Adaptive Immunity / Antibodies, Viral Type of study: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limits: Child / Humans Language: En Journal: Front Immunol Year: 2021 Type: Article Affiliation country: United States