Evidence map›Paper›PMID 33514781›Full record

ArticleScientific reports2021

Transmission dynamics and control measures of COVID-19 outbreak in China: a modelling study.

Xu-Sheng Zhang, Emilia Vynnycky, Andre Charlett, Daniela De Angelis, Zhengji Chen, Wei Liu

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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

6 authors.

Xu-Sheng ZhangCentre for Infectious Disease Surveillance and Control, National Infection Service, Public Health England, 61 Colindale Avenue, London, NW9 5EQ, UK. xu-sheng.zhang@phe.gov.uk.ORCID 0000-0002-6596-4500
Emilia VynnyckyCentre for Infectious Disease Surveillance and Control, National Infection Service, Public Health England, 61 Colindale Avenue, London, NW9 5EQ, UK.
Andre CharlettCentre for Infectious Disease Surveillance and Control, National Infection Service, Public Health England, 61 Colindale Avenue, London, NW9 5EQ, UK.
Daniela De AngelisCentre for Infectious Disease Surveillance and Control, National Infection Service, Public Health England, 61 Colindale Avenue, London, NW9 5EQ, UK.
Zhengji ChenSchool of Public Health, Kunming Medical University, Kunming, Yunnan, People's Republic of China.
Wei LiuSchool of Public Health, Kunming Medical University, Kunming, Yunnan, People's Republic of China. liuweikm@qq.com.

Funding

Medical Research Council MC_UU_00002/11
6 · The paper itself

Abstract

COVID-19 is reported to have been brought under control in China. To understand the COVID-19 outbreak in China and provide potential lessons for other parts of the world, in this study we apply a mathematical model with multiple datasets to estimate the transmissibility of the SARS-CoV-2 virus and the severity of the illness associated with the infection, and how both were affected by unprecedented control measures. Our analyses show that before 19th January 2020, 3.5% (95% CI 1.7-8.3%) of  infected people were detected; this percentage increased to 36.6% (95% CI 26.1-55.4%) thereafter. The basic reproduction number (R

Indexed as

Disease OutbreaksModels, TheoreticalBasic Reproduction NumberChinaCOVID-19HumansSARS-CoV-2

Identifiers

PMID33514781
PMCPMC7846591

What OpenQuestion holds

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LicenceCC BY
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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.