基于模型设计的适应性控制策略,以有效准备"疾病X"
Hao Wang1, Weike Zhou2, Xia Wang1
1School of Mathematics and Statistics, Shaanxi Normal University, Xi'an, PR, 710062, China.
BMC medical informatics and decision making
|February 19, 2025
概括
针对COVID-19等新兴传染病的适应性策略至关重要. 过早放宽政策或对高度传染性变体的政策,会增加感染率和死亡率.
科学领域:
- 流行病学 流行病学
- 传染病建模 传染病建模
- 公共卫生政策 公共卫生政策
背景情况:
- 随着COVID-19的蔓延,人们越来越需要适应性传染病控制策略.
- 新出现的传染病 ("疾病X") 需要基于变种特征和人口免疫力的灵活管理方法.
研究的目的:
- 探索新兴传染病的一般和适应性控制策略.
- 分析中国零COVID政策放松对COVID-19浪潮的影响.
- 为管理未来的"疾病X"爆发提供洞察力.
主要方法:
- 利用了一个动态的流行病学模型,结合了年龄结构和疫苗接种情况.
- 使用来自中国的真实世界流行病数据对模型进行校准.
- 模拟了基于变种传播能力和人口免疫力的不同政策放松场景.
主要成果:
- 在Omicron波零后COVID放松期间估计有82.9%的累积感染率 (CIR) 和0.25%的病例死亡率 (CFR).
- 预计较低的CIR (81.64%) 和CFR (0.205%) 如果零-COVID在2022年1月由于更高的疫苗免疫力而减轻.
- 表示较低的CIR (74.06%),但显著更高的CFR (1.065%) 如果Delta变种流通期间零COVID缓解.
结论:
- 对"疾病X"的适应性策略必须考虑多个因素,包括变种的传播能力和人口免疫力.
- 一个"零COVID-like"政策可以对具有较低传播能力的变体有效.
- 政策放松的时机至关重要,特别是在高度传播的变种和不同的人口免疫水平的情况下.
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