对病毒爆发的风险分析和预防控制,考虑到宿主内部的动态:SARS-CoV-2作为一个案例研究
William S Hart1,2, Hyeongki Park2, Yong Dam Jeong2,3
1Mathematical Institute, University of Oxford, Oxford OX2 6GG, United Kingdom.
概括
局部SARS-CoV-2疫情仍然是一个风险. 一个新的多尺度模型显示,每天的抗原检测可以将疫情风险降低45%,但不能消除它,强调需要量身定制的干预措施.
科学领域:
- 流行病学 流行病学
- 数学生物学 数学生物学
- 传染病建模 传染病建模
背景情况:
- 局部严重急性呼吸系统综合征冠状病毒2 (SARS-CoV-2) 爆发的风险仍然存在,即使是在与COVID-19生活的时代.
- 以前用于估计疫情风险的人口级模型缺乏对宿主病毒动态和干预影响的详细分析.
研究的目的:
- 开发和应用一个多尺度建模框架来估计病毒性疾病的局部爆发风险,并纳入宿主内部的动态.
- 分析预防性干预措施的有效性,特别是抗原测试,以减轻SARS-CoV-2爆发风险.
主要方法:
- 开发了一个多尺度建模框架,集成宿主病毒动态和人口层面的传播.
- 使用个人感染数据,量化了SARS-CoV-2 (Omicron变种) 的宿主内部动态.
- 模拟的爆发场景,有或没有定期的抗原检测,以评估降低风险.
主要成果:
- 每日抗原测试将局部SARS-CoV-2爆发风险降低45%,与基线情景中没有测试相比.
- 抗原检测可以减少但不能消除疫情爆发的风险,其有效性取决于本地传播特征.
- 主体内部动态的异质性显著影响疫情风险估计和抗原测试疗效的评估.
结论:
- 多尺度建模为评估病毒爆发风险和干预有效性提供了更详细的方法.
- 定期的抗原检测是缓解SARS-CoV-2传播的宝贵工具,但其影响取决于背景.
- 考虑到病毒动态的个体变异性对于准确的风险评估和针对SARS-CoV-2和其他新出现的病毒威胁的干预设计至关重要.
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