Evidence map›Paper›PMID 37505645›Full record

ArticleTropical medicine and infectious disease2023

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

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

Abstract read
In one paragraph

Article in Tropical medicine and infectious disease, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Siyuan ZhangSchool of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, China.
Liran LiuSchool of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China.
Qingxiang MengSchool of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China.
Yixuan ZhangSchool of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, China.
He YangTransportation Development Center of Henan Province, Zhengzhou 450016, China.
Gang XuSchool of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, China.ORCID 0000-0001-5731-5036

Funding

National Natural Science Foundation of China 42101460
6 · The paper itself

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.

Indexed as

COVID-19epicenterinfectious diseasesspace-time scanspatiotemporal pattern

Identifiers

PMID37505645
PMCPMC10385263

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.