美国COVID-19的振荡时空模式在美国
Hawre Jalal1, Kyueun Lee2, Donald S Burke3
1School of Epidemiology and Public Health, University of Ottawa, Ottawa, ON, K1G 5Z3, Canada. hjalal@uOttawa.ca.
Scientific reports
|September 16, 2024
概括
美国的COVID-19传播显示出重复的空间模式. 在美国东部 (EUCO) 发现了一个新发现的六个月的南北振荡,在美国北部 (NUCO) 发现了一个东西振荡.
科学领域:
- 流行病学 流行病学
- 公共卫生 公共卫生
- 计算生物学 计算生物学
背景情况:
- COVID-19病例率表现出时间波动,通常被描述为流行病波.
- 这些波的空间动态和潜在的时空模式尚未被彻底研究.
研究的目的:
- 描述美国各地COVID-19时间流行浪潮的空间模式.
- 识别和描述COVID-19的反复的时空传播动态.
主要方法:
- 分析州和县级的COVID-19病例率数据.
- 应用时空分解模式和振荡模式分析.
主要成果:
- COVID-19的传播动态表现出反复出现的时空模式.
- 在美国东部地区发现了一种以前未知的为期六个月的南北振荡 (美国东部COVID-19振荡器-EUCO),造成了区域次流行病和移动波.
- 在美国北部观察到一个次要的,不那么突出的东西振荡 (北美COVID-19振荡器-NUCO).
结论:
- COVID-19 流行浪潮具有独特的,反复的时空特征,超出了国家季节性趋势.
- 已确定的EUCO和NUCO模式代表了对区域COVID-19传播动态的新见解.
- 需要进一步的研究来阐明这些新发现的振荡性流行病模式的驱动因素.
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