The Correlated Beta Dose Optimisation Approach: Optimal Vaccine Dosing Using Mathematical Modelling and Adaptive Trial Design.
The Correlated Beta Dose Optimisation Approach: Optimal Vaccine Dosing Using Mathematical Modelling and Adaptive Trial Design.
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DOI：
10.3390/vaccines10111838
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发表时间：
2022-10-30
期刊：
影响因子：
7.8
通讯作者：
White RG
中科院分区：
文献类型：
--
作者：
Benest J;Rhodes S;Evans TG;White RG
数学建模方法和适应性试验设计可能对优化疫苗剂量有效，但尚未普遍使用。这可能是由于剂量-疗效或剂量-毒性参数模型的正确选择方面的不确定性。非参数模型以前被认为是在这种情况下可能有用的。提出了一种基于非参数连续相关贝塔过程模型和适应性试验设计的疫苗最优剂量定位方法。我们称之为“相关Beta”或“CoBe”剂量优化方法。我们使用模拟研究评估了CoBe剂量优化方法与其他疫苗剂量优化方法的比较。尽管使用了比其他基于建模的方法更简单的假设，但我们发现CoBe剂量优化方法能够有效地定位单次和初免/加强接种疫苗的最大有效剂量。CoBe剂量优化方法也有效地找到了最大限度地提高疫苗效力和最小化疫苗相关毒性的剂量。此外，我们发现，这些建模方法可以受益于包括专家知识，这是以前的参数建模方法很难。这项工作进一步表明，使用数学建模和适应性试验设计可能有利于确定最佳疫苗剂量，确保最大的疫苗效益和疾病负担减轻，最终挽救生命
Mathematical modelling methods and adaptive trial design are likely to be effective for optimising vaccine dose but are not yet commonly used. This may be due to uncertainty with regard to the correct choice of parametric model for dose-efficacy or dose-toxicity. Non-parametric models have previously been suggested to be potentially useful in this situation. We propose a novel approach for locating optimal vaccine dose based on the non-parametric Continuous Correlated Beta Process model and adaptive trial design. We call this the ‘Correlated Beta’ or ‘CoBe’ dose optimisation approach. We evaluated the CoBe dose optimisation approach compared to other vaccine dose optimisation approaches using a simulation study. Despite using simpler assumptions than other modelling-based methods, we found that the CoBe dose optimisation approach was able to effectively locate the maximum efficacy dose for both single and prime/boost administration vaccines. The CoBe dose optimisation approach was also effective in finding a dose that maximises vaccine efficacy and minimises vaccine-related toxicity. Further, we found that these modelling methods can benefit from the inclusion of expert knowledge, which has been difficult for previous parametric modelling methods. This work further shows that using mathematical modelling and adaptive trial design is likely to be beneficial to locating optimal vaccine dose, ensuring maximum vaccine benefit and disease burden reduction, ultimately saving lives
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影响因子：
4.3
作者：
Handel A;Li Y;McKay B;Pawelek KA;Zarnitsyna V;Antia R
通讯作者：
Antia R
影响因子：
82.9
作者：
Du, Zhanwei;Wang, Lin;Pandey, Abhishek;Lim, Wey Wen;Chinazzi, Matteo;Piontti, Ana Pastore Y.;Lau, Eric H. Y.;Wu, Peng;Malani, Anup;Cobey, Sarah;Cowling, Benjamin J.
通讯作者：
Cowling, Benjamin J.
DOI：
10.3390/ijerph182111452
发表时间：
2021-10-30
影响因子：
--
作者：
Horton BJ;Wages NA;Gentzler RD
通讯作者：
Gentzler RD
影响因子：
2
作者：
Bretz, Frank;Dette, Holger;Pinheiro, Jose C.
通讯作者：
Pinheiro, Jose C.
影响因子：
1.5
作者：
Aouni, Jihane;Bacro, Jean Noel;Darchy, Loic
通讯作者：
Darchy, Loic