Ciupe Stanca M, Heffernan Jane M
Department of Mathematics, Virginia Tech, Blacksburg, VA, USA.
Centre for Disease Modelling, Department of Mathematics & Statistics, York University, Toronto, ON, Canada.
Infect Dis Model. 2017 Apr 29;2(2):188-202. doi: 10.1016/j.idm.2017.04.002. eCollection 2017 May.
Understanding the mechanisms governing host-pathogen kinetics is important and can guide human interventions. In-host mathematical models, together with biological data, have been used in this endeavor. In this review, we present basic models used to describe acute and chronic pathogenic infections. We highlight the power of model predictions, the role of drug therapy, and advantage of considering the dynamics of immune responses. We also present the limitations of these models due in part to the trade-off between the complexity of the model and their predictive power, and the challenges a modeler faces in determining the appropriate formulation for a given problem.
了解宿主与病原体相互作用的动力学机制很重要，且能指导人类干预措施。宿主内数学模型与生物学数据一起被用于此项研究。在本综述中，我们介绍了用于描述急性和慢性病原体感染的基本模型。我们强调了模型预测的作用、药物治疗的作用以及考虑免疫反应动态变化的优势。我们还阐述了这些模型的局限性，部分原因在于模型复杂性与其预测能力之间的权衡，以及建模者在为特定问题确定合适公式时所面临的挑战。
