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This content will become publicly available on August 11, 2019

Title: Mathematical modeling of within-host Zika virus dynamics

Recent Zika virus outbreaks have been associated with severe outcomes, especially during pregnancy. A great deal of effort has been put toward understanding this virus, particularly the immune mechanisms responsible for rapid viral control in the majority of infections. Identifying and understanding the key mechanisms of immune control will provide the foundation for the development of effective vaccines and antiviral therapy. In this paper, we outline a mathematical modeling approach for analyzing the within-host dynamics of Zika virus, and we describe how these models can be used to understand key aspects of the viral life cycle and to predict antiviral efficacy.
Authors:
 [1] ; ORCiD logo [1]
  1. Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Publication Date:
Report Number(s):
LA-UR-18-24074
Journal ID: ISSN 0105-2896
Grant/Contract Number:
AC52-06NA25396; R01-AI078881; R01-OD0110955; R01-AI028433
Type:
Accepted Manuscript
Journal Name:
Immunological Reviews
Additional Journal Information:
Journal Volume: 285; Journal Issue: 1; Journal ID: ISSN 0105-2896
Publisher:
Wiley
Research Org:
Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Sponsoring Org:
USDOE; National Inst. of Health (NIH) (United States)
Country of Publication:
United States
Language:
English
Subject:
60 APPLIED LIFE SCIENCES; 97 MATHEMATICS AND COMPUTING; mathematical modeling; viral dynamics; Zika virus
OSTI Identifier:
1467343