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

作者信息

Zhang Siyuan, Liu Liran, Meng Qingxiang, Zhang Yixuan, Yang He, Xu Gang

机构信息

School of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, China.

School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China.

出版信息

Trop Med Infect Dis. 2023 Jun 30;8(7):349. doi: 10.3390/tropicalmed8070349.


DOI:10.3390/tropicalmed8070349
PMID:37505645
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10385263/
Abstract

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.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7dd3/10385263/a33a87c2eb49/tropicalmed-08-00349-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7dd3/10385263/6650b7101bfd/tropicalmed-08-00349-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7dd3/10385263/717679ea9ce6/tropicalmed-08-00349-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7dd3/10385263/29d3cbe55c72/tropicalmed-08-00349-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7dd3/10385263/eca0103969c0/tropicalmed-08-00349-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7dd3/10385263/a33a87c2eb49/tropicalmed-08-00349-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7dd3/10385263/6650b7101bfd/tropicalmed-08-00349-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7dd3/10385263/717679ea9ce6/tropicalmed-08-00349-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7dd3/10385263/29d3cbe55c72/tropicalmed-08-00349-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7dd3/10385263/eca0103969c0/tropicalmed-08-00349-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7dd3/10385263/a33a87c2eb49/tropicalmed-08-00349-g005.jpg

相似文献

[1]
Spatiotemporal Patterns of the Omicron Wave of COVID-19 in the United States.

Trop Med Infect Dis. 2023-6-30

[2]
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[3]
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[4]
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[5]
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[6]
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[7]
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[8]
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[9]
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[10]
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引用本文的文献

[1]
Patterns and Predictors of COVID-19 Vaccine Uptake Among U.S. Active Duty Service Members, 2020-2022: Implications for Future Pandemics.

Mil Med. 2025-4-23

本文引用的文献

[1]
Spatial Analysis of Dengue Clusters at Department, Municipality and Local Scales in the Southwest of Colombia, 2014-2019.

Trop Med Infect Dis. 2023-5-2

[2]
Measuring social resilience in cities: An exploratory spatio-temporal analysis of activity routines in urban spaces during Covid-19.

Cities. 2023-4

[3]
The WHO estimates of excess mortality associated with the COVID-19 pandemic.

Nature. 2023-1

[4]
Analysis of distribution characteristics of COVID-19 in America based on space-time scan statistic.

Front Public Health. 2022

[5]
Spatiotemporal analysis of the morbidity of global Omicron from November 2021 to February 2022.

J Med Virol. 2022-11

[6]
Spatial growth rate of emerging SARS-CoV-2 lineages in England, September 2020-December 2021.

Epidemiol Infect. 2022-7-20

[7]
Global spreading of Omicron variant of COVID-19.

Geospat Health. 2022-7-13

[8]
Serial Intervals for SARS-CoV-2 Omicron and Delta Variants, Belgium, November 19-December 31, 2021.

Emerg Infect Dis. 2022-8

[9]
Lockdown induced night-time light dynamics during the COVID-19 epidemic in global megacities.

Int J Appl Earth Obs Geoinf. 2021-10

[10]
The Geographical Distribution and Influencing Factors of COVID-19 in China.

Trop Med Infect Dis. 2022-3-6

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