Modeling Viral Spread
Graw F, Perelson AS (2016)
Publication Type: Journal article, Review article
Publication year: 2016
Journal
Book Volume: 3
Pages Range: 555-572
DOI: 10.1146/annurev-virology-110615-042249
Abstract
The way in which a viral infection spreads within a host is a complex process that is not well understood. Different viruses, such as human immunodeficiency virus type 1 and hepatitis C virus, have evolved different strategies, including direct cell-to-cell transmission and cell-free transmission, to spread within a host. To what extent these two modes of transmission are exploited in vivo is still unknown. Mathematical modeling has been an essential tool to get a better systematic and quantitative understanding of viral processes that are difficult to discern through strictly experimental approaches. In this review, we discuss recent attempts that combine experimental data and mathematical modeling in order to determine and quantify viral transmission modes. We also discuss the current challenges for a systems-level understanding of viral spread, and we highlight the promises and challenges that novel experimental techniques and data will bring to the field.
Authors with CRIS profile
Involved external institutions
Ruprecht-Karls-Universität Heidelberg
Germany (DE)
Los Alamos National Laboratory
United States (USA) (US)
Germany (DE)
Los Alamos National Laboratory
United States (USA) (US)
How to cite
APA:
Graw, F., & Perelson, A.S. (2016). Modeling Viral Spread. Annual Review of Virology, 3, 555-572. https://doi.org/10.1146/annurev-virology-110615-042249
MLA:
Graw, Frederik, and Alan S. Perelson. "Modeling Viral Spread." Annual Review of Virology 3 (2016): 555-572.
BibTeX: Download