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Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học quốc tế cung cấp cho các bạn kiến thức về ngành y đề tài: "A unified framework of immunological and epidemiological dynamics for the spread of viral infections in a simple network-based population | BioMed Central Theoretical Biology and Medical Modelling Research Open Access A unified framework of immunological and epidemiological dynamics for the spread of viral infections in a simple network-based population David M Vickers 1 2 and Nathaniel D Osgood 2 Address 1Interdisciplinary Studies College of Graduate Studies and Research University of Saskatchewan Saskatoon Saskatchewan Canada and 2Department of Computer Science College of Arts and Science University of Saskatchewan Saskatoon Saskatchewan Canada Email David M Vickers - david.vickers@usask.ca Nathaniel D Osgood - nathaniel.osgood@usask.ca Corresponding authors Published 20 December 2007 Received 16 August 2007 Theoretical Biology and Medical Modelling 2007 4 49 doi 10.1186 1742-4682-4-49 Accepted 20 December 2007 This article is available from http www.tbiomed.cOm content 4 1 49 2007 Vickers and Osgood licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License http creativecommons.org licenses by 2.0 which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. Abstract Background The desire to better understand the immuno-biology of infectious diseases as a broader ecological system has motivated the explicit representation of epidemiological processes as a function of immune system dynamics. While several recent and innovative contributions have explored unified models across cellular and organismal domains and appear well-suited to describing particular aspects of intracellular pathogen infections these existing immuno-epidemiological models lack representation of certain cellular components and immunological processes needed to adequately characterize the dynamics of some important epidemiological contexts. Here we complement existing models by presenting an alternate framework of anti-viral immune responses within individual hosts and infection spread across a simple
