Evidence map›Paper›PMID 39502399›Full record

ArticleChina CDC weekly2024

Monitoring the Status of Multi-Wave Omicron Variant Outbreaks - 71 Countries, 2021-2023.

Chuanqing Xu, Lianjiao Dai, Songbai Guo, Xiaoyu Zhao, Xiaoling Liu

Abstract read
In one paragraph

Article in China CDC weekly, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Chuanqing XuSchool of Science, Beijing University of Civil Engineering and Architecture, Beijing, China.
Lianjiao DaiSchool of Science, Beijing University of Civil Engineering and Architecture, Beijing, China.
Songbai GuoSchool of Science, Beijing University of Civil Engineering and Architecture, Beijing, China.
Xiaoyu ZhaoSchool of Mathematics, Shandong University, Jinan City, Shandong Province, China.
Xiaoling LiuHanshan Normal University, Chaozhou City, Guangdong Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

What is already known about this topic?: Analyzing the characteristics of epidemic development after the emergence of the severe acute respiratory syndrome virus 2 Omicron variants with its subvariants and the impact of income level inequalities on the coronavirus disease 2019 (COVID-19) case-fatality ratio helps to better understand the spread of novel coronavirus infections. What is added by this report?: The median time interval between the first and second waves of Omicron sub-variants was 70 days (interquartile spacing: 43.75-91), and between the second and third waves was 87.5 days (interquartile spacing: 49-119), which obeyed a lognormal distribution. The case-fatality ratio of the first wave was significantly higher than that of the second and third waves. During the initial epidemic period, there was no significant geographic differences in the case-fatality ratio of the first wave, while the case-fatality ratio in countries with high income levels was significantly lower than in countries with other income levels. What are the implications for public health practice?: We still need to pay attention to the COVID-19 pandemic, as inequalities in income levels have an impact on the case-fatality ratio during the early stages of Omicron epidemics. In most countries, strains of the virus are likely to move from low to high population prevalence after 2-4 months.

Indexed as

COVID-19Kruskal-Wallis one-way ANOVALethalityNational income level

Identifiers

PMID39502399
PMCPMC11532532

What OpenQuestion holds

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LicenceCC BY-NC-SA
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Registered trials

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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.