Evidence map›Paper›PMID 32814591›Full record

SynthesisInfectious diseases of poverty2020

China's practice to prevent and control COVID-19 in the context of large population movement.

Tie-Long Xu, Mei-Ying Ao, Xu Zhou, Wei-Feng Zhu, He-Yun Nie, Jian-He Fang, Xin Sun, Bin Zheng, Xiao-Fan Chen

Abstract readSystematic Review
In one paragraph

Synthesis in Infectious diseases of poverty, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 4 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

33 citing papers in PubMed, 4 syntheses or guidelines 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.

Tie-Long XuEvidence-based Medicine Research Center, Jiangxi University of Traditional Chinese Medicine, Nanchang City, Jiangxi Province, P. R. China.
Mei-Ying AoEvidence-based Medicine Research Center, Jiangxi University of Traditional Chinese Medicine, Nanchang City, Jiangxi Province, P. R. China.
Xu ZhouEvidence-based Medicine Research Center, Jiangxi University of Traditional Chinese Medicine, Nanchang City, Jiangxi Province, P. R. China.
Wei-Feng ZhuEvidence-based Medicine Research Center, Jiangxi University of Traditional Chinese Medicine, Nanchang City, Jiangxi Province, P. R. China.
He-Yun NieEvidence-based Medicine Research Center, Jiangxi University of Traditional Chinese Medicine, Nanchang City, Jiangxi Province, P. R. China.
Jian-He FangEvidence-based Medicine Research Center, Jiangxi University of Traditional Chinese Medicine, Nanchang City, Jiangxi Province, P. R. China.
Xin SunEvidence-based Medicine Research Center, Jiangxi University of Traditional Chinese Medicine, Nanchang City, Jiangxi Province, P. R. China. sunx79@163.com.
Bin ZhengNational Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, and National Center for Tropical Diseases Research, Shanghai, People's Republic of China. cdcipdzhengbin@126.com.
Xiao-Fan ChenEvidence-based Medicine Research Center, Jiangxi University of Traditional Chinese Medicine, Nanchang City, Jiangxi Province, P. R. China. xiaofanci122306@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe emerging infectious disease, coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), poses a serious threat in China and worldwide. Challenged by this serious situation, China has taken many measures to contain its transmission. This study aims to systematically review and record these special and effective practices, in hope of benefiting for fighting against the ongoing worldwide pandemic.

methodsThe measures taken by the governments was tracked and sorted on a daily basis from the websites of governmental authorities (e.g. National Health Commission of the People's Republic of China). And the measures were reviewed and summarized by categorizations, figures and tables, showing an ever-changing process of combating with an emerging infectious disease. The population shift levels, daily local new diagnosed cases, daily mortality and daily local new cured cases were used for measuring the effect of the measures.

resultsThe practices could be categorized into active case surveillance, rapid case diagnosis and management, strict follow-up and quarantine of persons with close contacts, and issuance of guidance to help the public understand and adhere to control measures, plus prompt and effective high-level policy decision, complete activation of the public health system, and full involvement of the society. Along with the measures, the population shift levels, daily local new diagnosed cases, and mortality were decreased, and the daily local new cured cases were increased in China.

conclusionsChina's practices are effective in controlling transmission of SARS-CoV-2. Considering newly occurred situations (e.g. imported cases, work resumption), the control measures may be adjusted.

Indexed as

Population SurveillanceChinaCommunicable Diseases, EmergingCoronavirus InfectionsCOVID-19Health PolicyHumansMasksPandemicsPneumonia, ViralTime FactorsTravelCOVID-19EndemicPandemicPrevention and controlSARS-CoV-2

Identifiers

PMID32814591
PMCPMC7435224

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.