Evidence map›Paper›PMID 32226454›Full record

ArticleAdvances in difference equations2020

Dynamics analysis of a delayed virus model with two different transmission methods and treatments.

Tongqian Zhang, Junling Wang, Yuqing Li, Zhichao Jiang, Xiaofeng Han

Abstract read
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Article in Advances in difference equations, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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.

Tongqian Zhang1College of Mathematics and Systems Science, Shandong University of Science and Technology, Qingdao, P.R. China.
Junling Wang1College of Mathematics and Systems Science, Shandong University of Science and Technology, Qingdao, P.R. China.
Yuqing Li1College of Mathematics and Systems Science, Shandong University of Science and Technology, Qingdao, P.R. China.
Zhichao Jiang2Fundamental Science Department, North China Institute of Aerospace Engineering, Langfang, P.R. China.
Xiaofeng Han1College of Mathematics and Systems Science, Shandong University of Science and Technology, Qingdao, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this paper, a delayed virus model with two different transmission methods and treatments is investigated. This model is a time-delayed version of the model in (Zhang et al. in Comput. Math. Methods Med. 2015:758362, 2015). We show that the virus-free equilibrium is locally asymptotically stable if the basic reproduction number is smaller than one, and by regarding the time delay as a bifurcation parameter, the existence of local Hopf bifurcation is investigated. The results show that time delay can change the stability of the endemic equilibrium. Finally, we give some numerical simulations to illustrate the theoretical findings.

Indexed as

Cell-to-cell transmissionDelayed virus modelHopf bifurcationTreatment

Identifiers

PMID32226454
PMCPMC7100214

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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.