Evidence map›Paper›PMID 33869271›Full record

ArticleFrontiers in molecular biosciences2020

Delayed Modeling Approach to Forecast the Periodic Behavior of SARS-2.

Zhenhua Yu, Ayesha Sohail, Alessandro Nutini, Robia Arif

Abstract read
In one paragraph

Article in Frontiers in molecular biosciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 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

4 authors.

Zhenhua YuInstitute of Systems Security and Control, College of Computer Science and Technology, Xi'an University of Science and Technology, Xi'an, China.
Ayesha SohailDepartment of Mathematics, Comsats University Islamabad, Lahore, Pakistan.
Alessandro NutiniCentro Studi Attività Motorie, Biology and Biomechanics Department, Lucca, Italy.
Robia ArifDepartment of Mathematics, Comsats University Islamabad, Lahore, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The ongoing threat of Coronavirus is alarming. The key players of this virus are modeled mathematically during this research. The transmission rates are hypothesized, with the aid of epidemiological concepts and recent findings. The model reported is extended, by taking into account the delayed dynamics. Time delay reflects the fact that the dynamic behavior of transmission of the disease, at time

Indexed as

dynamical analysiskinetic modelingmonoclonal antibodynumerical simulationsSARS-CoV2theoretical analysis

Identifiers

PMID33869271
PMCPMC8047460

What OpenQuestion holds

Textmetadata
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.