Evidence map›Paper›PMID 33869909›Full record

ArticleInfectious Disease Modelling2021

Nonpharmaceutical interventions contribute to the control of COVID-19 in China based on a pairwise model.

Xiao-Feng Luo, Shanshan Feng, Junyuan Yang, Xiao-Long Peng, Xiaochun Cao, Juping Zhang, Meiping Yao, Huaiping Zhu, Michael Y Li, Hao Wang and 1 more

Abstract read
In one paragraph

Article in Infectious Disease Modelling, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
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  9. Article
  10. The Mask Game with Multiple Populations.Dynamic games and applications · 2022
    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

11 authors.

Xiao-Feng LuoDepartment of Mathematics, North University of China, Taiyuan, Shanxi, 030051, China.
Shanshan FengDepartment of Mathematics, North University of China, Taiyuan, Shanxi, 030051, China.
Junyuan YangComplex System Research Center, Shanxi University, Taiyuan, 030006, Shanxi, China.
Xiao-Long PengComplex System Research Center, Shanxi University, Taiyuan, 030006, Shanxi, China.
Xiaochun CaoComplex System Research Center, Shanxi University, Taiyuan, 030006, Shanxi, China.
Juping ZhangComplex System Research Center, Shanxi University, Taiyuan, 030006, Shanxi, China.
Meiping YaoSchool of Mathematical Sciences, Shanxi University, Taiyuan, 030006, Shanxi, PR China.
Huaiping ZhuDepartment of Mathematics and Statistics, York University, Toronto, ON, M3J 1P3, Canada.
Michael Y LiDepartment of Mathematics and Statistics Sciences, University of Alberta, Edmonton, Alberta, T6G 2G1, Canada.
Hao WangDepartment of Mathematics and Statistics Sciences, University of Alberta, Edmonton, Alberta, T6G 2G1, Canada.
Zhen JinComplex System Research Center, Shanxi University, Taiyuan, 030006, Shanxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nonpharmaceutical interventions (NPIs), particularly contact tracing isolation and household quarantine, play a vital role in effectively bringing the Coronavirus Disease 2019 (COVID-19) under control in China. The pairwise model, has an inherent advantage in characterizing those two NPIs than the classical well-mixed models. Therefore, in this paper, we devised a pairwise epidemic model with NPIs to analyze COVID-19 outbreak in China by using confirmed cases during February 3rd-22nd, 2020. By explicitly incorporating contact tracing isolation and family clusters caused by household quarantine, our model provided a good fit to the trajectory of COVID-19 infections. We calculated the reproduction number

Indexed as

Clustering coefficientCOVID-19High-risk contactsHousehold quarantinePairwise epidemic model

Identifiers

PMID33869909
PMCPMC8035808

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.