Grupo de Investigación Biomedicina, Facultad de Medicina, Fundación Universitaria Autónoma de Las Américas, Pereira, Colombia.
Public Health and Infection Research Group, Faculty of Health Sciences, Universidad Tecnológica de Pereira, Pereira, Colombia.
Hum Vaccin Immunother. 2021 Aug 3;17(8):2437-2444. doi: 10.1080/21645515.2021.1880254. Epub 2021 Feb 19.
Over the last decades, the use of phylogenetic methods in the study of emerging infectious diseases has gained considerable traction in public health. Particularly, the integration of phylogenetic analyses with the understanding of the pathogen dynamics at the population level has provided powerful tools for epidemiological surveillance systems. In the same way, the development of statistical methods and theory, as well as improvement of computational efficiency for evolutionary analysis, has expanded the use of these tools for vaccine and antiviral development. Today with the Coronavirus Disease 2019 (COVID-19), this seems to be critical. In this article, we discuss how the application of phylodynamic analysis can improve the understanding of current pandemic dynamics as well as the design, selection, and evaluation of vaccine candidates and antivirals.
在过去几十年中，系统发育方法在新发传染病研究中的应用在公共卫生领域得到了相当大的关注。特别是，将系统发育分析与对群体水平病原体动力学的理解相结合，为流行病学监测系统提供了强大的工具。同样，统计方法和理论的发展以及进化分析计算效率的提高，也扩大了这些工具在疫苗和抗病毒药物开发中的应用。如今，随着 2019 年冠状病毒病（COVID-19）的爆发，这一点似乎至关重要。在本文中，我们讨论了系统发育动力学分析的应用如何提高对当前大流行动态的理解，以及疫苗候选物和抗病毒药物的设计、选择和评估。
