Evidence map›Paper›PMID 32288353›Full record

ArticleChaos, solitons, and fractals2018

Analysis of epidemic spreading process in multi-communities.

Peican Zhu, Xing Wang, Qiang Zhi, Jiezhong Ma, Yangming Guo

Abstract read
In one paragraph

Article in Chaos, solitons, and fractals, 2018. 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

5 authors.

Peican ZhuSchool of Computer Science, Northwestern Polytechnical University (NWPU), Xi'an, Shaanxi, 710072, China.
Xing WangSchool of Computer Science, Northwestern Polytechnical University (NWPU), Xi'an, Shaanxi, 710072, China.
Qiang ZhiSchool of Computer Science, Northwestern Polytechnical University (NWPU), Xi'an, Shaanxi, 710072, China.
Jiezhong MaSchool of Computer Science, Northwestern Polytechnical University (NWPU), Xi'an, Shaanxi, 710072, China.
Yangming GuoSchool of Computer Science, Northwestern Polytechnical University (NWPU), Xi'an, Shaanxi, 710072, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In practice, an epidemic might be spreading among multi-communities; while the communities are usually intra-connected. In this manuscript, each community is modeled as a multiplex network (i.e., virtual layer and physical one). The connections inside certain community are referred as inter-contacts while the intra-contacts denote the connections among communities. For the epidemic spreading process, the traditional susceptible-infected-recovered (SIR) model is adopted. Then, corresponding state transition trees are determined and simulations are conducted to study the epidemic spreading process in multi-communities. Here, the effect of incorporating virtual layer on the range of individual affected by the epidemic is pursued. As illustrated, multi-summits are incurred if the spreading in multi-communities is considered; furthermore, the disparity between summits varies. This is affected by various factors. As indicated, the incorporation of virtual layer is capable of reducing the proportion of individuals being affected; moreover, disparity of different summits is likely to be increased regarding with scenarios of excluding virtual layer. Furthermore, the summit is likely to be postponed if virtual layer is incorporated.

Indexed as

Inter-contactIntra-contactMultiplex networksSusceptible-infected-recovered (SIR) modelVirtual layer

Identifiers

PMID32288353
PMCPMC7127586

What OpenQuestion holds

Textmetadata
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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.