Mathematical assessment of the impact of cohort vaccination on pneumococcal carriage and serotype replacement.

IF 2.2 4区 数学 Q3 ECOLOGY Journal of Biological Dynamics Pub Date : 2021-05-01 Epub Date: 2021-02-17 DOI:10.1080/17513758.2021.1884760
Tufail M Malik, Jemal Mohammed-Awel, Abba B Gumel, Elamin H Elbasha
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引用次数: 1

Abstract

Although pneumococcal vaccines are quite effective in reducing disease burden, factors such as imperfect vaccine efficacy and serotype replacement present an important challenge against realizing direct and herd protection benefits of the vaccines. In this study, a novel mathematical model is designed and used to describe the dynamics of two Streptococcus pneumoniae (SP) serotypes, in response to the introduction of a cohort vaccination program which targets one of the two serotypes. The model is fitted to a pediatric SP carriage prevalence data from Atlanta, GA. The model, which is rigorously analysed to investigate the existence and asymptotic stability properties of the associated equilibria (in addition to exploring conditions for competitive exclusion), is simulated to assess the impact of vaccination under different levels of serotype-specific competition and illustrate the phenomenon of serotype replacement. The calibrated model is used to forecast the carriage prevalence in the pediatric cohort over 30 years.

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队列疫苗接种对肺炎球菌携带和血清型替代影响的数学评估。
尽管肺炎球菌疫苗在减轻疾病负担方面相当有效,但疫苗效力不完善和血清型替代等因素对实现疫苗的直接和群体保护效益构成了重要挑战。在这项研究中,设计了一个新的数学模型,用于描述两种肺炎链球菌(SP)血清型的动态,以响应针对两种血清型之一的队列疫苗接种计划的引入。该模型适用于来自佐治亚州亚特兰大的儿科SP携带患病率数据。该模型经过严格分析,研究了相关均衡的存在性和渐近稳定性(除了探索竞争排斥的条件外),并模拟了不同血清型特异性竞争水平下疫苗接种的影响,并说明了血清型替代现象。校正后的模型用于预测30年以上儿科队列的携带率。
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来源期刊
Journal of Biological Dynamics
Journal of Biological Dynamics ECOLOGY-MATHEMATICAL & COMPUTATIONAL BIOLOGY
CiteScore
4.90
自引率
3.60%
发文量
28
审稿时长
33 weeks
期刊介绍: Journal of Biological Dynamics, an open access journal, publishes state of the art papers dealing with the analysis of dynamic models that arise from biological processes. The Journal focuses on dynamic phenomena at scales ranging from the level of individual organisms to that of populations, communities, and ecosystems in the fields of ecology and evolutionary biology, population dynamics, epidemiology, immunology, neuroscience, environmental science, and animal behavior. Papers in other areas are acceptable at the editors’ discretion. In addition to papers that analyze original mathematical models and develop new theories and analytic methods, the Journal welcomes papers that connect mathematical modeling and analysis to experimental and observational data. The Journal also publishes short notes, expository and review articles, book reviews and a section on open problems.
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