Evidence map›Paper›PMID 35602046›Full record

ArticleFrontiers in microbiology2022

Epidemiological Characteristics of COVID-19 Outbreak in Yangzhou, China, 2021.

Yu-Dong Zhang, Ding Chen, Lei Hu, Liang Shen, Ren-Yuan Wu, Fu-Ming Cao, Jian-Qiang Xu, Liang Wang

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2022. 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. Update on Omicron variant and its threat to vulnerable populations.Public health in practice (Oxford, England) · 2024
    Review
  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

8 authors.

Yu-Dong ZhangThe First Clinical Medical College of Xuzhou Medical University, Xuzhou, China.
Ding ChenSchool of Medical Informatics and Engineering, Xuzhou, China.
Lei HuSchool of Mathematics, China University of Mining and Technology, Xuzhou, China.
Liang ShenSchool of Management, Xuzhou Medical University, Xuzhou, China.
Ren-Yuan WuSchool of Medical Imaging, Xuzhou Medical University, Xuzhou, China.
Fu-Ming CaoThe Second Clinical Medical College of Xuzhou Medical University, Xuzhou, China.
Jian-Qiang XuSchool of Management, Xuzhou Medical University, Xuzhou, China.
Liang WangSchool of Medical Informatics and Engineering, Xuzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Epidemiological characteristics of COVID-19 outbreak in Yangzhou city caused by the highly contagious Delta variant strain of SARS-CoV-2 virus were investigated in this retrospective descriptive study to provide prevention and control guidelines for outbreaks in the future. Methods: All the epidemiological data used in this study were collected manually from the official website of the Yangzhou Municipal Health Committee from 28 July to 26 August 2021, and then were analyzed systematically and statistically in this study. Results: A total of 570 COVID-19 cases were reported during the short-term outbreak in Yangzhou City. The ages of infected individuals ranged from 1 to 90 years with the average age at 49.47 ± 22.69 years. As for gender distributions, the ratio of male- to-female patients was 1:1.36 (242:328). Geographic analysis showed that 377 patients (66.1%) were in Hanjiang District while 188 patients (33.0%) were in Guangling District. Clinical diagnosis showed that 175 people (30.7%) had mild symptoms, 385 people were in moderate conditions (67.5%), and 10 people were in severe situations (1.8%). Significant age differences were found among the three groups ( Conclusion: The Delta variant of SARS-CoV-2 was highly infectious and has obvious clustering characteristics during the Yangzhou outbreak in China.

Indexed as

basic reproduction numberCOVID-19epidemiologyoutbreakSARS-CoV-2

Identifiers

PMID35602046
PMCPMC9120923

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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.