Evidence map›Paper›PMID 33370263›Full record

ArticlePLoS computational biology2020

The COVID-19 outbreak in Sichuan, China: Epidemiology and impact of interventions.

Quan-Hui Liu, Ana I Bento, Kexin Yang, Hang Zhang, Xiaohan Yang, Stefano Merler, Alessandro Vespignani, Jiancheng Lv, Hongjie Yu, Wei Zhang and 2 more

Abstract read
In one paragraph

Article in PLoS computational biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 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

12 authors.

Quan-Hui LiuCollege of Computer Science, Sichuan University, Chengdu, China.ORCID 0000-0001-6642-6854
Ana I BentoDepartment of Epidemiology and Biostatistics, School of Public Health, Indiana University Bloomington, Bloomington, Indiana, United States of America.ORCID 0000-0001-7728-007X
Kexin YangCollege of Computer Science, Sichuan University, Chengdu, China.ORCID 0000-0003-1136-6801
Hang ZhangCollege of Computer Science, Sichuan University, Chengdu, China.
Xiaohan YangDepartment of Engineering and Computer Science, New York University Shanghai, Shanghai, China.ORCID 0000-0002-5965-1743
Stefano MerlerBruno Kessler Foundation, Trento, Italy.ORCID 0000-0002-5117-0611
Alessandro VespignaniLaboratory for the Modeling of Biological and Socio-technical Systems, Northeastern University, Boston, Massachusetts United States of America.
Jiancheng LvCollege of Computer Science, Sichuan University, Chengdu, China.
Hongjie YuSchool of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China.ORCID 0000-0002-6335-5648
Wei ZhangWest China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China.
Tao ZhouBig Data Research Center, University of Electronic Science and Technology of China, Chengdu, China.ORCID 0000-0003-0561-2316
Marco AjelliDepartment of Epidemiology and Biostatistics, School of Public Health, Indiana University Bloomington, Bloomington, Indiana, United States of America.ORCID 0000-0003-1753-4749

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In January 2020, a COVID-19 outbreak was detected in Sichuan Province of China. Six weeks later, the outbreak was successfully contained. The aim of this work is to characterize the epidemiology of the Sichuan outbreak and estimate the impact of interventions in limiting SARS-CoV-2 transmission. We analyzed patient records for all laboratory-confirmed cases reported in the province for the period of January 21 to March 16, 2020. To estimate the basic and daily reproduction numbers, we used a Bayesian framework. In addition, we estimated the number of cases averted by the implemented control strategies. The outbreak resulted in 539 confirmed cases, lasted less than two months, and no further local transmission was detected after February 27. The median age of local cases was 8 years older than that of imported cases. We estimated R0 at 2.4 (95% CI: 1.6-3.7). The epidemic was self-sustained for about 3 weeks before going below the epidemic threshold 3 days after the declaration of a public health emergency by Sichuan authorities. Our findings indicate that, were the control measures be adopted four weeks later, the epidemic could have lasted 49 days longer (95% CI: 31-68 days), causing 9,216 more cases (95% CI: 1,317-25,545).

Indexed as

Disease OutbreaksChinaCOVID-19FemaleHumansMaleSARS-CoV-2

Identifiers

PMID33370263
PMCPMC7794025

What OpenQuestion holds

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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.