AUTHOR=Iwami Shingo , Koizumi Yoshiki , Ikeda Hiroki , Kakizoe Yusuke TITLE=Quantification of viral infection dynamics in animal experiments JOURNAL=Frontiers in Microbiology VOLUME=4 YEAR=2013 URL=https://www.frontiersin.org/journals/microbiology/articles/10.3389/fmicb.2013.00264 DOI=10.3389/fmicb.2013.00264 ISSN=1664-302X ABSTRACT=

Analyzing the time-course of several viral infections using mathematical models based on experimental data can provide important quantitative insights regarding infection dynamics. Over the past decade, the importance and significance of mathematical modeling has been gaining recognition among virologists. In the near future, many animal models of human-specific infections and experimental data from high-throughput techniques will become available. This will provide us with the opportunity to develop new quantitative approaches, combining experimental and mathematical analyses. In this paper, we review the various quantitative analyses of viral infections and discuss their possible applications.