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Modeling Viral Spread
Annual Review of Virology ( IF 11.3 ) Pub Date : 2016-10-14 00:00:00 , DOI: 10.1146/annurev-virology-110615-042249
Frederik Graw 1 , Alan S. Perelson 2
Affiliation  

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.

中文翻译:


病毒传播建模

病毒感染在宿主内传播的方式是一个复杂的过程,目前尚不清楚。不同的病毒(例如1型人类免疫缺陷病毒和丙型肝炎病毒)已经进化出不同的策略,包括直接在细胞间传播和在无细胞内传播,从而在宿主内传播。体内利用这两种传播方式的程度仍是未知的。数学建模一直是获得对病毒过程的更好系统和定量了解的重要工具,而这些病毒过程很难通过严格的实验方法来辨别。在这篇综述中,我们讨论了结合实验数据和数学模型来确定和量化病毒传播模式的最新尝试。我们还将讨论在系统层面了解病毒传播的当前挑战,

更新日期:2016-10-14
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