Evidence map›Paper›PMID 35812469›Full record

ArticleResults in physics2022

Modeling the crossover behavior of the bacterial infection with the COVID-19 epidemics.

Zhenhua Yu, Ayesha Sohail, Robia Arif, Alessandro Nutini, Taher A Nofal, Sümeyye Tunc

Open access · goldAbstract read
In one paragraph

Article in Results in physics, 2022. 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
1.8field-weighted citation impact, top 16% of its field
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, 14 citations in OpenAlex.

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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

6 authors at 5 institutions in 5 countries.

Zhenhua YuInstitute of Systems Security and Control, College of Computer Science and Technology, Xi'an University of Science and Technology, Xi'an 710054, China.
Ayesha SohailDepartment of Mathematics, Comsats University Islamabad, Lahore Campus, 54000, Pakistan.
Robia ArifDepartment of Mathematics, Comsats University Islamabad, Lahore Campus, 54000, Pakistan.
Alessandro NutiniCentro Studi Attività Motore - Biology and Biomechanics Dept., Via di tiglio 94 Lucca, Italy.
Taher A NofalDepartment of Mathematics and Statistics, Faculty of Science, Taif University, Taif, Saudi Arabia.
Sümeyye TuncMedipol University, Vocational School of Sciences, Physiotherapy Programme, Unkapanı, Atatürk Bulvarı, No:27, 34083, Halic Campus, Fatih-Istanbul, Turkey.
COMSATS University Islamabad · PKIMT School for Advanced Studies Lucca · ITIstanbul Medipol University · TRTaif University · SAXi'an University of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To explore the crossover linkage of the bacterial infections resulting from the viral infection, within the host body, a computational framework is developed. It analyzes the additional pathogenic effect of Streptococcus pneumonia, one of the bacteria that can trigger the super-infection mechanism in the COVID-19 syndrome and the physiological effects of innate immunity for the control or eradication of this bacterial infection. The computational framework, in a novel manner, takes into account the action of pro-inflammatory and anti-inflammatory cytokines in response to the function of macrophages. A hypothetical model is created and is transformed to a system of non-dimensional mathematical equations. The dynamics of three main parameters (macrophages sensitivity

Indexed as

Bacterial actionCOVID-19Dynamical analysisReverse engineering of inflammation

Identifiers

PMID35812469
PMCPMC9254571
OpenAlexW4284706482

What OpenQuestion holds

Textmetadata
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.