Evidence map›Paper›PMID 36035015›Full record

ArticleNonlinear dynamics2022

Modeling supply chain viability and adaptation against underload cascading failure during the COVID-19 pandemic.

Hong Liu, Yunyan Han, Anding Zhu

Abstract read
In one paragraph

Article in Nonlinear dynamics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

3 authors.

Hong LiuSchool of Computer and Information Engineering, Zhejiang Gongshang University, Hangzhou, 310018 People's Republic of China.ORCID 0000-0001-7720-275X
Yunyan HanSchool of Management and E-Business, Zhejiang Gongshang University, Hangzhou, 310018 People's Republic of China.
Anding ZhuSchool of Management and E-Business, Zhejiang Gongshang University, Hangzhou, 310018 People's Republic of China.ORCID 0000-0001-8162-6213

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Supply chain viability concerns the entire supply system rather than one company or one single chain to survive COVID-19 disruptions. Mobility restriction and overall demand decline lead to systematically cascading disruptions that are more severe and longer lasting than those caused by natural disasters and political conflicts. In the present study, the authors find that large companies and manufacturers with traditional advantages suffer greater losses than small ones, which is conceptualized as the " Supplementary Information: The online version contains supplementary material available at 10.1007/s11071-022-07741-8.

Indexed as

Complex adaptive systemCOVID-19 economic disruptionIntertwined supply networkSupply chain adaptationSupply chain viabilityUnderload cascading failure

Identifiers

PMID36035015
PMCPMC9392865

What OpenQuestion holds

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LicenceCC BY
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.