Auton Systems LLC, Pittsburgh, PA, United States of America.
United States Department of Defense Covid Task Force, Washington, DC, United States of America.
PLoS One. 2022 Feb 24;17(2):e0264198. doi: 10.1371/journal.pone.0264198. eCollection 2022.
We consider whether one can forecast the emergence of variants of concern in the SARS-CoV-2 outbreak and similar pandemics. We explore methods of population genetics and identify key relevant principles in both deterministic and stochastic models of spread of infectious disease. Finally, we demonstrate that fitness variation, defined as a trait for which an increase in its value is associated with an increase in net Darwinian fitness if the value of other traits are held constant, is a strong indicator of imminent transition in the viral population.
我们探讨了是否可以预测 SARS-CoV-2 爆发和类似大流行中关注变种的出现。我们研究了群体遗传学方法,并确定了传染病传播的确定性和随机性模型中的关键相关原则。最后,我们证明了适应度变化(定义为如果其他性状的价值保持不变,则性状值的增加与净达尔文适应度的增加相关的性状)是病毒种群即将发生转变的有力指标。