Moghadas Seyed M
Institute for Biodiagnostics, National Research Council Canada, 435 Ellice Avenue, R3B 1Y6, Winnipeg, Manitoba, Canada.
Eur J Epidemiol. 2006;21(5):337-42. doi: 10.1007/s10654-006-9007-z. Epub 2006 May 23.
Mathematical models have been recognized as powerful tools for providing new insights into the understanding of viral dynamics of human diseases at both the population and cellular levels. This article briefly reviews the role of mathematical models and their historical precedents for creating new knowledge of the mechanisms of disease pathogenesis, transmission, and control of some human viral infections. Future research in the modelling of infectious diseases will need to rely upon incorporation of the fundamental principles that govern viral dynamics in vivo as well as in the population.
数学模型已被公认为是强有力的工具,可在人群和细胞水平上为深入理解人类疾病的病毒动力学提供新的见解。本文简要回顾了数学模型的作用及其历史先例,这些先例为了解某些人类病毒感染的发病机制、传播和控制创造了新知识。未来传染病建模的研究将需要依靠纳入体内以及人群中控制病毒动力学的基本原理。