Evidence map›Paper›PMID 33349626›Full record

ArticleMedical science monitor : international medical journal of experimental and clinical research2020

Characteristics and Effectiveness of the Coronavirus Disease 2019 (COVID-19) Prevention and Control in a Representative City in China.

Ping Liu, Zhoujun Ma, Yu Deng, Yongpu Li, Wei Xia, Yu Liu, Xiaolan Wu, Junhuan Mou, Quan Li, Jianghua Nie and 8 more

Abstract read
In one paragraph

Article in Medical science monitor : international medical journal of experimental and clinical research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Asymptomatic SARS-CoV-2 infection: A systematic review and meta-analysis.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Pooled it
  2. Review
  3. 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

18 authors.

Ping LiuDepartment of Respiratory and Critical Care Medicine, The People's Hospital of Changshou District, Chongqing, China (mainland).
Zhoujun MaChangshou Center for Disease Control and Prevention, Chongqing, China (mainland).
Yu DengChongqing Medical and Pharmaceutical College, Chongqing, China (mainland).
Yongpu LiDepartment of Respiratory and Critical Care Medicine, The People's Hospital of Changshou District, Chongqing, China (mainland).
Wei XiaDepartment of Respiratory and Critical Care Medicine, The People's Hospital of Changshou District, Chongqing, China (mainland).
Yu LiuDepartment of Respiratory and Critical Care Medicine, The People's Hospital of Changshou District, Chongqing, China (mainland).
Xiaolan WuDepartment of Infectious Disease, The People's Hospital of Changshou District, Chongqing, China (mainland).
Junhuan MouDepartment of Infectious Disease, The People's Hospital of Changshou District, Chongqing, China (mainland).
Quan LiDepartment of Laboratory Medicine, The People's Hospital of Changshou District, Chongqing, China (mainland).
Jianghua NieDepartment of Radiology, The People's Hospital of Changshou District, Chongqing, China (mainland).
Wenxiu ZhouDepartment of Outpatient Service, The People's Hospital of Changshou District, Chongqing, China (mainland).
Xueqin FuDepartment of Outpatient Service, The People's Hospital of Changshou District, Chongqing, China (mainland).
Fei YuThe People's Hospital of Changshou District, Chongqing, China (mainland).
Yan LiThe People's Hospital of Changshou District, Chongqing, China (mainland).
Yaling ZhangThe People's Hospital of Changshou District, Chongqing, China (mainland).
Qin XiangThe People's Hospital of Changshou District, Chongqing, China (mainland).
Xiaobin PengChangshou Center for Disease Control and Prevention, Chongqing, China (mainland).
Guangqun JiangChangshou Center for Disease Control and Prevention, Chongqing, China (mainland).

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND SARS-CoV-2 has caused a pandemic. Control measures differ among countries. It is necessary to assess the effectiveness of these control measures. MATERIAL AND METHODS We collected the data of COVID-19 patients and control measures between January 18, 2020 and September 18, 2020 from the Changshou District and analyzed the clinical characteristics, epidemiological data, and the adjustment of policies to assess the effectiveness of control measures. The control of COVID-19 was divided into 2 stages, with the lifting of lockdown in Hubei province (March 25, 2020) as a dividing line. RESULTS We identified 32 patients through different means in the first stage. All the imported patients entered this area before the lockdown. In 93.1% of patients, the last exposure occurred before the implementation of the stay-at-home order and centralized isolation. Tracing of high-risk people and RT-PCR screening identified 56.3% of cases. In the second stage, all the high-risk people were under centralized isolation. Nine asymptomatic patients were identified. City lockdown and stay-at-home orders were not issued again, and no second-generation patients were found. CONCLUSIONS We have provided a successful model to control the transmission of COVID-19 in a short period.

Indexed as

ChinaCitiesCOVID-19HumansRisk FactorsSARS-CoV-2

Identifiers

PMID33349626
PMCPMC7763915

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.