http://scholars.ntou.edu.tw/handle/123456789/15743
DC Field | Value | Language |
---|---|---|
dc.contributor.author | S. C. CHEN | en_US |
dc.contributor.author | Shu-Han You | en_US |
dc.contributor.author | C. Y. LIU | en_US |
dc.contributor.author | C. P. CHIO | en_US |
dc.contributor.author | C. M. LIAO | en_US |
dc.date.accessioned | 2021-02-02T07:50:01Z | - |
dc.date.available | 2021-02-02T07:50:01Z | - |
dc.date.issued | 2012-09 | - |
dc.identifier.issn | 0950-2688 | - |
dc.identifier.uri | http://scholars.ntou.edu.tw/handle/123456789/15743 | - |
dc.description.abstract | The aim of this work was to use experimental infection data of human influenza to assess a simple viral dynamics model in epithelial cells and better understand the underlying complex factors governing the infection process. The developed study model expands on previous reports of a target cell-limited model with delayed virus production. Data from 10 published experimental infection studies of human influenza was used to validate the model. Our results elucidate, mechanistically, the associations between epithelial cells, human immune responses, and viral titres and were supported by the experimental infection data. We report that the maximum total number of free virions following infection is 10(3)-fold higher than the initial introduced titre. Our results indicated that the infection rates of unprotected epithelial cells probably play an important role in affecting viral dynamics. By simulating an advanced model of viral dynamics and applying it to experimental infection data of human influenza, we obtained important estimates of the infection rate. This work provides epidemiologically meaningful results, meriting further efforts to understand the causes and consequences of influenza A infection. | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | Cambridge University Press | en_US |
dc.relation.ispartof | Epidemiology and Infection | en_US |
dc.subject | Immune system | en_US |
dc.subject | infection | en_US |
dc.subject | influenza virus | en_US |
dc.subject | modelling | en_US |
dc.subject | viral dynamics | en_US |
dc.title | Using experimental human influenza infections to validate a viral dynamic model and the implications for prediction. | en_US |
dc.type | journal article | en_US |
dc.identifier.doi | 10.1017/S0950268811002226 | - |
dc.relation.journalvolume | 140 | en_US |
dc.relation.journalissue | 9 | en_US |
dc.relation.pages | 1557-1568 | en_US |
item.languageiso639-1 | en_US | - |
item.grantfulltext | none | - |
item.fulltext | no fulltext | - |
item.cerifentitytype | Publications | - |
item.openairecristype | http://purl.org/coar/resource_type/c_6501 | - |
item.openairetype | journal article | - |
crisitem.author.dept | College of Life Sciences | - |
crisitem.author.dept | Institute of Food Safety and Risk Management | - |
crisitem.author.dept | National Taiwan Ocean University,NTOU | - |
crisitem.author.orcid | 0000-0003-4440-3138 | - |
crisitem.author.parentorg | National Taiwan Ocean University,NTOU | - |
crisitem.author.parentorg | College of Life Sciences | - |
Appears in Collections: | 食品安全與風險管理研究所 |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.