Evidence map›Paper›PMID 32171948›Full record

ArticleInternational journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases2020

The effectiveness of quarantine and isolation determine the trend of the COVID-19 epidemics in the final phase of the current outbreak in China.

Biao Tang, Fan Xia, Sanyi Tang, Nicola Luigi Bragazzi, Qian Li, Xiaodan Sun, Juhua Liang, Yanni Xiao, Jianhong Wu

Erratum issuedAbstract read
In one paragraph

Article in International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 108 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
108citing 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

108 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
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  12. Psychological Reactions during and after a Lockdown: Self-Efficacy as a Protective Factor of Mental Health.International journal of environmental research and public health · 2023
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  16. How Asymptomatic Transmission Influences Mitigation and Suppression Strategies during a Pandemic.Risk analysis : an official publication of the Society for Risk Analysis · 2023
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48 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Biao TangThe Interdisplinary Research Center for Mathematics and Life Sciences, Xi'an Jiaotong University, Xi'an, 710049, People's Republic of China; Laboratory for Industrial and Applied Mathematics, Department of Mathematics and Statistics, York University, Toronto, Ontario, M3J 1P3, Canada.
Fan XiaThe Interdisplinary Research Center for Mathematics and Life Sciences, Xi'an Jiaotong University, Xi'an, 710049, People's Republic of China; School of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an 710049, People's Republic of China.
Sanyi TangSchool of Mathematics and Information Science, Shaanxi Normal University, Xi'an, 710119, People's Republic of China.
Nicola Luigi BragazziLaboratory for Industrial and Applied Mathematics, Department of Mathematics and Statistics, York University, Toronto, Ontario, M3J 1P3, Canada.
Qian LiLaboratory for Industrial and Applied Mathematics, Department of Mathematics and Statistics, York University, Toronto, Ontario, M3J 1P3, Canada; School of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an 710049, People's Republic of China.
Xiaodan SunThe Interdisplinary Research Center for Mathematics and Life Sciences, Xi'an Jiaotong University, Xi'an, 710049, People's Republic of China; School of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an 710049, People's Republic of China.
Juhua LiangSchool of Mathematics and Information Science, Shaanxi Normal University, Xi'an, 710119, People's Republic of China.
Yanni XiaoThe Interdisplinary Research Center for Mathematics and Life Sciences, Xi'an Jiaotong University, Xi'an, 710049, People's Republic of China; School of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an 710049, People's Republic of China. Electronic address: yxiao@mail.xjtu.edu.cn.
Jianhong WuThe Interdisplinary Research Center for Mathematics and Life Sciences, Xi'an Jiaotong University, Xi'an, 710049, People's Republic of China; Laboratory for Industrial and Applied Mathematics, Department of Mathematics and Statistics, York University, Toronto, Ontario, M3J 1P3, Canada; Fields-CQAM Laboratory of Mathematics for Public Health, York University, Toronto, Ontario, M3J 1P3, Canada. Electronic address: wujh@yorku.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesSince January 23rd 2020, stringent measures for controlling the novel coronavirus epidemics have been gradually enforced and strengthened in mainland China. The detection and diagnosis have been improved as well. However, the daily reported cases staying in a high level make the epidemics trend prediction difficult.

methodsSince the traditional SEIR model does not evaluate the effectiveness of control strategies, a novel model in line with the current epidemics process and control measures was proposed, utilizing multisource datasets including cumulative number of reported, death, quarantined and suspected cases.

resultsResults show that the trend of the epidemics mainly depends on quarantined and suspected cases. The predicted cumulative numbers of quarantined and suspected cases nearly reached static states and their inflection points have already been achieved, with the epidemics peak coming soon. The estimated effective reproduction numbers using model-free and model-based methods are decreasing, as well as new infections, while new reported cases are increasing. Most infected cases have been quarantined or put in suspected class, which has been ignored in existing models.

conclusionsThe uncertainty analyses reveal that the epidemics is still uncertain and it is important to continue enhancing the quarantine and isolation strategy and improving the detection rate in mainland China.

Indexed as

BetacoronavirusPatient IsolationQuarantineChinaCoronavirus InfectionsCOVID-19Disease OutbreaksEpidemicsHumansPandemicsPneumonia, ViralSARS-CoV-2CoronavirusMathematical modelMulti-source dataSEIR model

Identifiers

PMID32171948
PMCPMC7162790

What OpenQuestion holds

Textmetadata
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.