评估COVID-19传播和在中国的Omicron爆发中的流动性之间的关联
Liping Peng1, Kylie E C Ainslie1,2, Xiaotong Huang1
1WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China.
Communications medicine
|May 20, 2025
概括
人类的流动性和COVID-19的传播在Omicron爆发期间显示出城市层面的关系. 然而,相关性波动,这意味着单靠移动性可能不准确地预测传输强度.
科学领域:
- 流行病学 流行病学
- 公共卫生 公共卫生
- 数据科学数据科学数据科学
背景情况:
- 以前的研究表明,人类流动性和COVID-19在宏观层面的传播之间存在正相关性.
- 在更细微的尺度上,关系的强度及其在疫情期间的动态变化仍然未得到充分探索.
研究的目的:
- 调查在Omicron爆发期间人类流动和COVID-19传播之间的城市级相关性.
- 分析这种关系的时间动态,并确定影响它的因素.
主要方法:
- 在中国大陆Omicron爆发期间 (2022年2月至11月) 利用城市级病例和流动数据 (城市内,城市间流入/流出).
- 每个疫情的计算时间变化的有效繁殖数 (Rt).
- 估计Rt和移动性指数之间的交叉相关性和滚动相关性.
主要成果:
- 观察到Omicron波 (0.64-0.71在第1波中,0.45-0.46在第2波中) 之间的不同交叉相关性估计.
- 滚动相关性分析显示了显著的波动,振荡模型为大多数爆发提供了最适合的模型.
- 移动性-传输关系的转变被注意到,从高峰前的积极状态到高峰后的负面状态.
结论:
- 证实了Omicron传播和城市层面的流动性之间的积极关联.
- 突出了移动性-传输关系的显著时间变化,挑战了恒定相关性假设.
- 强调使用移动性作为传输强度的唯一代理,可能导致预测不准确.
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