TY - JOUR
T1 - Quantification of viral infection dynamics in animal experiments
AU - Iwami, Shingo
AU - Koizumi, Yoshiki
AU - Ikeda, Hiroki
AU - Kakizoe, Yusuke
N1 - Funding Information:
This study was supported by a grant (F-52-2, Study II) from the Arkansas Game and Fish Commission Fisheries Division, Allen Carter, Chief, to A.V.B., as a cooperator in the Arkansas Cooperative Fish and Wildlife Research Unit in the Department of Biological Sciences at the University of Arkansas. We thank Bill Matthews, Thomas Kwak, Peter Brussock, Steve Filipek, and Larry Willis for comments on an earlier draft of the manuscript. We appreciate the assistance of Jim Johnson, Lowell Aberson, and the numerous students who assisted with various parts of this study. Special thanks are due Kevin Pierson, Lori Livingston, and Jim Dunn for assistance with statistical analyses. We also thank the landowners and gravel miners who graciously allowed us access to the study sites. This paper was substantially strengthened by three anonymous reviewers.
PY - 2013
Y1 - 2013
N2 - 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.
AB - 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.
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U2 - 10.3389/fmicb.2013.00264
DO - 10.3389/fmicb.2013.00264
M3 - Short survey
AN - SCOPUS:84885415639
VL - 4
JO - Frontiers in Microbiology
JF - Frontiers in Microbiology
SN - 1664-302X
IS - SEP
ER -