急性感染期间的死亡风险在各种宿主-病原体系统中加速增加,并且与宿主-病原体相互作用的多种模型一致
Tim O'Sullivan1,2, Canan Karakoç1,2, Kristofer Wollein Waldetoft1,2,3
1School of Biological Sciences, Georgia Institute of Technology, Atlanta, Georgia, USA.
mSphere
|April 28, 2025
概括
与传统模型不同的是,传染病死亡风险在感染后的时间内加快. 这一基于各种动物模型的发现强调了需要更好的数据,将宿主病原体动态与人口层面的疾病模式联系起来.
科学领域:
- 传染病的动态传染病的动态
- 流行病学 流行病学
- 宿主-病原体相互作用
背景情况:
- 传染病导致全球显著的死亡率.
- 主体内病原体负担与人口水平死亡率模式之间的联系尚不清楚.
- 现有的模型通常假设感染后的死亡风险是恒定的.
研究的目的:
- 为了确定随着时间的推移感染引起的死亡率的模式.
- 为了推断主体内驱动观察到的死亡模式的机制.
- 确定关键的实验需求,以弥合宿主和人口层面的疾病动态.
主要方法:
- 对209个受控宿主感染数据集的结构化文献综述.
- 对各种致命动物感染模型的分析.
- 数学建模以探索死亡模式的机械基础.
主要成果:
- 在所有模型中,感染后的时间随着死亡风险大约呈指数增长.
- 这种加速的风险模式与多种病原体的生长和宿主-病原体相互作用机制相一致.
- 假设持续风险的传统流行病学模型受到挑战.
结论:
- 随着时间的推移,感染引起的死亡风险加快.
- 目前的实验方法在将宿主内部的过程与流行病学结果联系起来方面存在局限性.
- 进一步的研究需要非侵入性病原体负担数据来阐明疾病进展和死亡率.
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