Evidence map›Paper›PMID 34426747›Full record

ArticleComputational and mathematical methods in medicine2021

The Impact of the Declaration of the State of Emergency on the Spread of COVID-19: A Modeling Analysis.

Zhongxiang Chen, Siqiang Sun, Wenhui Zhao, Zhaoru Liu, Xinyao Zhao, Xiuxiang Huang, Jiaji Pan

Abstract readValidation Study
In one paragraph

Article in Computational and mathematical methods in medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

7 authors.

Zhongxiang ChenCollege of Engineering and Design, Hunan Normal University, Changsha, Hunan, China 410081.ORCID https://orcid.org/0000-0003-0400-5004
Siqiang SunCollege of Engineering and Design, Hunan Normal University, Changsha, Hunan, China 410081.ORCID https://orcid.org/0000-0002-9139-8549
Wenhui ZhaoCollege of Engineering and Design, Hunan Normal University, Changsha, Hunan, China 410081.ORCID https://orcid.org/0000-0002-6709-4772
Zhaoru LiuCollege of Engineering and Design, Hunan Normal University, Changsha, Hunan, China 410081.ORCID https://orcid.org/0000-0001-8695-9519
Xinyao ZhaoCollege of Engineering and Design, Hunan Normal University, Changsha, Hunan, China 410081.ORCID https://orcid.org/0000-0003-3040-3815
Xiuxiang HuangCollege of Engineering and Design, Hunan Normal University, Changsha, Hunan, China 410081.ORCID https://orcid.org/0000-0002-4287-9426
Jiaji PanCollege of Engineering and Design, Hunan Normal University, Changsha, Hunan, China 410081.ORCID https://orcid.org/0000-0001-8954-0780

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

When encountering the outbreak and early spreading of COVID-19, the Government of Japan imposed gradually upgraded restriction policies and declared the state of emergency in April 2020 for the first time. To evaluate the efficacy of the countering strategies in different periods, we constructed a SEIADR (susceptible-exposed-infected-asymptomatic-documented-recovered) model to simulate the cases and determined corresponding spreading coefficients. The effective reproduction number

Indexed as

EmergenciesModels, BiologicalPandemicsSARS-CoV-2AlgorithmsCommunicable Disease ControlComputational BiologyComputer SimulationCOVID-19COVID-19 TestingHumansJapanLeast-Squares AnalysisMathematical ConceptsModels, StatisticalNational Health Programs

Identifiers

PMID34426747
PMCPMC8379385

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.