Jalal Hawre, Lee Kyueun, Burke Donald S
School of Epidemiology and Public Health, University of Ottawa, Ottawa, ON, K1G 5Z3, Canada.
The Comparative Health Outcomes, Policy, and Economics (CHOICE) Institute, University of Washington, Seattle, WA, 98195, USA.
Sci Rep. 2024 Sep 16;14(1):21562. doi: 10.1038/s41598-024-72517-6.
COVID-19 case rates in the US wax and wane in wave-like patterns over time, but the spatial patterns of these temporal epidemic waves have not been well characterized. By analyzing state- and county-level COVID-19 case rate data for spatiotemporal decomposition modes and oscillatory patterns, we demonstrate that the transmission dynamics of COVID-19 feature recurrent spatiotemporal patterns. In addition to the well-recognized national-level annual mid-winter surges, we demonstrate a prominent but previously unrecognized six-month north-south oscillation in the eastern US (Eastern US COVID-19 Oscillator-EUCO) that gives rise to regional sub-epidemics and travelling epidemic waves. We also demonstrate a second less prominent pattern that oscillates east-west in the northern US (Northern US COVID-19 Oscillator-NUCO). The drivers of these newly recognized oscillatory epidemic patterns remain to be elucidated.
美国新冠肺炎病例率随时间呈波浪状起伏,但这些时间性疫情波的空间模式尚未得到充分描述。通过分析州和县一级的新冠肺炎病例率数据的时空分解模式和振荡模式,我们证明新冠肺炎的传播动态具有反复出现的时空模式。除了广为人知的全国性冬季中期年度激增外,我们还证明了美国东部存在一个突出但此前未被认识到的六个月南北振荡(美国东部新冠肺炎振荡器-EUCO),它引发了区域性次流行和移动疫情波。我们还证明了第二种不太突出的模式,它在美国北部呈东西向振荡(美国北部新冠肺炎振荡器-NUCO)。这些新发现的振荡疫情模式的驱动因素仍有待阐明。