推断病毒传播时间从已知的传播对的族系来推断
Emma E Goldberg1, Erik J Lundgren1, Ethan O Romero-Severson1
1Theoretical Biology and Biophysics, Los Alamos National Laboratory, Los Alamos NM, USA.
bioRxiv : the preprint server for biology
|September 25, 2023
概括
我们开发了一个马尔科夫模型,用病毒遗传数据估计人类免疫缺陷病毒 (HIV) 传播时间. 这种新方法比以前的方法提供了更准确和精确的估计.
科学领域:
- 病毒学 病毒学
- 流行病学 流行病学
- 计算生物学 计算生物学
- 人类遗传学 是一个学科.
背景情况:
- 确定人类免疫缺陷病毒 (HIV) 传播的时间对于理解传播动态和实施有效的公共卫生干预至关重要.
- 从病毒遗传数据推断传播时间的现有方法在准确性和精确性方面存在局限性.
研究的目的:
- 开发和评估一种新的单参马尔科夫模型,以从基因数据推断艾滋病毒传播时间.
- 用模拟和真实世界HIV传播对数据来比较新的马尔科夫模型与现有方法的性能.
主要方法:
- 从传播对中的个体中获得的多个病毒序列构建艾滋病毒系.
- 开发一个单参数马尔科夫模型,以统计推断不同时间段的传输时间.
- 马尔科夫模型与以树为基础的逻辑间隔方法,以共存为基础的方法和凝聚模型进行比较.
主要成果:
- 马尔科夫时间切片模型证明了在各种模拟场景中传输时间的准确和更窄的估计,包括不同数量的传输血统,传输时间和采样时间.
- 该研究确定了特定的条件,例如来源感染后的延迟传播和传播后的延迟采样,在所有方法中估计传播时间和方向仍然具有挑战性.
- 对真实艾滋病毒传播对的应用显示与病例调查数据一致,尽管基因时间校准不确定性是推断传播时间总体不确定性的重要驱动因素.
结论:
- 开发的马尔科夫时间切片模型提供了一种准确和精确的方法,可以从基因数据中推断出艾滋病毒传播时间.
- 遗传学时间校准准确度对于可靠的传输时间推断至关重要,突出了方法改进的关键领域.
- 马尔科夫模型和凝聚模型之间的可比性性能表明,有可能开发新的方法,集成多种类型遗传信息,以提高传输时间估计.
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