Evidence map›Paper›PMID 36656818›Full record

ArticlePloS one2023

Epidemiological clustered characteristics of coronavirus disease 2019 (COVID-19) in three phases of transmission in Jilin Province, China.

Qinglong Zhao, Yang Zhang, Meina Li, Rui Tian, Yifei Zhao, Bonan Cao, Laishun Yao, Xi Sheng, Yan Yu

Abstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
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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

9 authors.

Qinglong ZhaoSchool of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an Shaanxi, 710061, China.
Yang ZhangJilin Provincial Center for Disease Control and Prevention, Changchun, 130062, Jilin Province, People's Republic of China.
Meina LiThe First Hospital of Jilin University, Changchun, 130021, Jilin Province, People's Republic of China.
Rui TianJilin Provincial Center for Disease Control and Prevention, Changchun, 130062, Jilin Province, People's Republic of China.
Yifei ZhaoJilin Provincial Center for Disease Control and Prevention, Changchun, 130062, Jilin Province, People's Republic of China.
Bonan CaoJilin Provincial Center for Disease Control and Prevention, Changchun, 130062, Jilin Province, People's Republic of China.
Laishun YaoJilin Provincial Center for Disease Control and Prevention, Changchun, 130062, Jilin Province, People's Republic of China.
Xi ShengJilin Provincial Center for Disease Control and Prevention, Changchun, 130062, Jilin Province, People's Republic of China.
Yan YuSchool of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an Shaanxi, 710061, China.ORCID 0000-0003-2751-6624

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The current epidemiological status of the new coronary pneumonia epidemic in China is being explored to prevent and control the localized dissemination of aggregated outbreaks. This study analyzed the characteristics of new outbreaks of coronavirus disease 2019 (COVID-19) at three stages of aggregated outbreaks in Jilin Province, China, to provide a reference for the prevention and control of aggregated outbreaks. Case information were collected from all patients in Jilin Province from January 12, 2020 to the present. The epidemic was divided into three stages according to the time of onset. The first stage comprised 97 cases reported from January 12, 2020 to February 19, 2020, during which 17 aggregated outbreaks occurred. The second comprised 43 cases reported from April 25, 2020 and May 23, 2020, involving one aggregated outbreak. The third comprised 435 cases reported on January 10, 2021 and February 9, 2021, involving one aggregated outbreak. The relationship between aggregated and non-aggregated cases in the first phase of the outbreak and the difference between imported and local cases during the aggregated outbreak were assess using statistical analysis, and the differences in the baseline information between the three phases were analyzed. The incubation periods of the three phases were 10 days, 8 days, and 5 days. The number of aggregated epidemic events in Jilin Province tended to increase and then decrease over time. The clustered events in Jilin Province were divided into four categories: household contact (14 times, 51 cases); household contact and public places (one time, three cases); household contact, public places, and gatherings (one time, six cases); and household contact, public places, gatherings, and work (three times, 495 cases). Clustered events occurred mainly between January 22, 2020, and February 4, 2020. Among all cases in the first phase of the outbreak, the method of detection and the time from diagnosis to discharge were longer in aggregated cases than in non-aggregated cases, and that the source of infection and renewal cases were more frequent and more likely to be detected in the outpatient clinics during aggregated outbreaks than the imported cases. The second phase of the epidemic showed significant spatial variability (Moran's I<0, P<0.05). The third stage of the epidemic occurred in a higher proportion of individuals aged 50-90 years and within a shorter incubation period compared with the first two stages. The current focus of prevention and control of the COVID-19 epidemic in Jilin Province is to strictly implement the restrictions on gatherings and to perform timely screening and isolation of close contacts of infectious sources while strengthening the supervision of the inflow of people from outside the region. Simultaneously, more targeted prevention and control measures can be implemented for different age groups and occupations.

Indexed as

COVID-19EpidemicsChinaDisease OutbreaksHumansSARS-CoV-2

Identifiers

PMID36656818
PMCPMC9851530

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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.