The Effect of Vaccination on the Competitive Advantage of Two Strains of an Infectious Disease.

IF 2 4区 数学 Q2 BIOLOGY Bulletin of Mathematical Biology Pub Date : 2025-01-03 DOI:10.1007/s11538-024-01378-x
Matthew D Johnston, Bruce Pell, Jared Pemberton, David A Rubel
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Abstract

We investigate the impact of differential vaccine effectiveness, waning immunity, and natural cross-immunity on the capacity for vaccine-induced strain replacement in two-strain models of infectious disease spread. We focus specifically on the case where the first strain is more transmissible but the second strain is more immune-resistant. We consider two cases on vaccine-induced immunity: (1) a monovalent model where the second strain has immune escape with respect to vaccination; and (2) a bivalent model where the vaccine remains equally effective against both strains. Our analysis reaffirms the capacity for vaccine-induced strain replacement under a variety of circumstances; surprisingly, however, we find that which strain is preferred depends sensitively on the degree of differential vaccine effectiveness. In general, the monovalent model favors the more immune-resistant strain at high vaccination levels while the bivalent model favors the more transmissible strain at high vaccination levels. To further investigate this phenomenon, we parametrize the bifurcation space between the monovalent and bivalent model.

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我们研究了在传染病传播的双毒株模型中,不同疫苗效果、免疫力下降和自然交叉免疫对疫苗诱导毒株替换能力的影响。我们特别关注第一菌株传播性更强但第二菌株免疫抗性更强的情况。我们考虑了疫苗诱导免疫的两种情况:(1) 单价模型,即第二株菌株对疫苗接种有免疫逃逸;(2) 二价模型,即疫苗对两种菌株都同样有效。我们的分析再次证实了在各种情况下疫苗诱导毒株替换的能力;然而,令人惊讶的是,我们发现哪种毒株更受青睐取决于疫苗效力差异的程度。一般来说,单价模式在高疫苗接种水平下更倾向于免疫抗性更强的毒株,而二价模式在高疫苗接种水平下更倾向于传播性更强的毒株。为了进一步研究这一现象,我们对单价模型和二价模型之间的分叉空间进行了参数化。
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来源期刊
CiteScore
3.90
自引率
8.60%
发文量
123
审稿时长
7.5 months
期刊介绍: The Bulletin of Mathematical Biology, the official journal of the Society for Mathematical Biology, disseminates original research findings and other information relevant to the interface of biology and the mathematical sciences. Contributions should have relevance to both fields. In order to accommodate the broad scope of new developments, the journal accepts a variety of contributions, including: Original research articles focused on new biological insights gained with the help of tools from the mathematical sciences or new mathematical tools and methods with demonstrated applicability to biological investigations Research in mathematical biology education Reviews Commentaries Perspectives, and contributions that discuss issues important to the profession All contributions are peer-reviewed.
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