Journal
ANNUAL REVIEW OF VIROLOGY, VOL 3
Volume 3, Issue -, Pages 555-572Publisher
ANNUAL REVIEWS
DOI: 10.1146/annurev-virology-110615-042249
Keywords
HIV; HCV; cell-to-cell infection; cell-free virus infection; mathematical modeling; agent-based models
Categories
Funding
- NIAID NIH HHS [R01 AI028433, R01 AI078881, R01 AI116868] Funding Source: Medline
- NIH HHS [R01 OD011095] Funding Source: Medline
Ask authors/readers for more resources
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
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available