Spatiotemporal Patterns of the Omicron Wave of COVID-19 in the United States

被引:2
|
作者
Zhang, Siyuan [1 ]
Liu, Liran [2 ]
Meng, Qingxiang [2 ]
Zhang, Yixuan [1 ]
Yang, He [3 ]
Xu, Gang [1 ]
机构
[1] Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Peoples R China
[2] Wuhan Univ, Sch Remote Sensing & Informat Engn, Wuhan 430079, Peoples R China
[3] Transportat Dev Ctr Henan Prov, Zhengzhou 450016, Peoples R China
基金
中国国家自然科学基金;
关键词
COVID-19; infectious diseases; spatiotemporal pattern; space-time scan; epicenter; SPREAD; TRANSMISSION; EPIDEMIC; DYNAMICS;
D O I
10.3390/tropicalmed8070349
中图分类号
R51 [传染病];
学科分类号
100401 ;
摘要
COVID-19 has undergone multiple mutations, with the Omicron variant proving to be highly contagious and rapidly spreading across many countries. The United States was severely hit by the Omicron variant. However, it was still unclear how Omicron transferred across the United States. Here, we collected daily COVID-19 cases and deaths in each county from 1 December 2021 to 28 February 2022 as the Omicron wave. We adopted space-time scan statistics, the Hoover index, and trajectories of the epicenter to quantify spatiotemporal patterns of the Omicron wave of COVID-19. The results showed that the highest and earliest cluster was located in the Northeast. The Hoover index for both cases and deaths exhibited phases of rapid decline, slow decline, and relative stability, indicating a rapid spread of the Omicron wave across the country. The Hoover index for deaths was consistently higher than that for cases. The epicenter of cases and deaths shifted from the west to the east, then southwest. Nevertheless, cases were more widespread than deaths, with a lag in mortality data. This study uncovers the spatiotemporal patterns of Omicron transmission in the United States, and its underlying mechanisms deserve further exploration.
引用
收藏
页数:12
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