Evidence map›Paper›PMID 36360467›Full record

ArticleHealthcare (Basel, Switzerland)2022

Close Contacts, Infected Cases, and the Trends of SARS-CoV-2 Omicron Epidemic in Shenzhen, China.

Furong Li, Fengchao Liang, Bin Zhu, Xinxin Han, Shenying Fang, Jie Huang, Xuan Zou, Dongfeng Gu

Abstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2022. 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

8 authors.

Furong LiSchool of Public Health and Emergency Management, Southern University of Science and Technology, 1088 Xueyuan Avenue, Fuguang Community, Taoyuan Street, Nanshan District, Shenzhen 518055, China.
Fengchao LiangSchool of Public Health and Emergency Management, Southern University of Science and Technology, 1088 Xueyuan Avenue, Fuguang Community, Taoyuan Street, Nanshan District, Shenzhen 518055, China.ORCID 0000-0003-2088-0722
Bin ZhuSchool of Public Health and Emergency Management, Southern University of Science and Technology, 1088 Xueyuan Avenue, Fuguang Community, Taoyuan Street, Nanshan District, Shenzhen 518055, China.ORCID 0000-0002-0091-6356
Xinxin HanSchool of Public Health and Emergency Management, Southern University of Science and Technology, 1088 Xueyuan Avenue, Fuguang Community, Taoyuan Street, Nanshan District, Shenzhen 518055, China.ORCID 0000-0002-6968-1399
Shenying FangSchool of Public Health and Emergency Management, Southern University of Science and Technology, 1088 Xueyuan Avenue, Fuguang Community, Taoyuan Street, Nanshan District, Shenzhen 518055, China.
Jie HuangSchool of Public Health and Emergency Management, Southern University of Science and Technology, 1088 Xueyuan Avenue, Fuguang Community, Taoyuan Street, Nanshan District, Shenzhen 518055, China.
Xuan ZouShenzhen Center for Disease Control and Prevention, Shenzhen 518073, China.
Dongfeng GuSchool of Public Health and Emergency Management, Southern University of Science and Technology, 1088 Xueyuan Avenue, Fuguang Community, Taoyuan Street, Nanshan District, Shenzhen 518055, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

(1) The overall trends of the number of daily close contacts and infected cases as well as their association during an epidemic of Omicron Variant of SARS-CoV-2 have been poorly described. (2) Methods: This study was to describe the trends during the epidemic of the Omicron variant of SARS-CoV-2 in Shenzhen, China, including the number of close contacts and infected cases as well as their ratios by days and stages (five stages). (3) Results: A total of 1128 infected cases and 80,288 close contacts were identified in Shenzhen from 13 February 2022 to 1 April 2022. Before the citywide lockdown (14 March), the number of daily close contacts and infected cases gradually increased. However, the numbers showed a decrease after the lockdown was imposed. The ratio of daily close contacts to daily infected cases ranged from 20.2:1 to 63.4:1 and reached the lowest during the lockdown period. The growth rate of daily close contacts was consistent with those of infected cases observed 6 days later to some extent. (4) Conclusions: The Omicron variant epidemic was promptly contained by tracing close contacts and taking subsequent quarantine measures.

Indexed as

ChinaCOVID-19Omicronstrategy

Identifiers

PMID36360467
PMCPMC9690198

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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.