Evidence map›Paper›PMID 35413580›Full record

ArticleComputational biology and chemistry2022

Mathematical modeling and analysis of the SARS-Cov-2 disease with reinfection.

Asghar Atifa, Muhammad Altaf Khan, Kulpash Iskakova, Fuad S Al-Duais, Irshad Ahmad

Abstract read
In one paragraph

Article in Computational biology and chemistry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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  10. Indirect Virus Transmission via Fomites Can Counteract Lock-Down Effectiveness.International journal of environmental research and public health · 2022
    Article
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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.

Asghar AtifaCOMSATS University Islamabad, Lahore Campus, Pakistan.
Muhammad Altaf KhanFaculty of Natural and Agricultural Sciences, University of the Free State, South Africa. Electronic address: altafdir@gmail.com.
Kulpash IskakovaDepartment of Physics and Mathematics, Kazakh National Pedagogical University, Almaty, Kazakhstan.
Fuad S Al-DuaisMathematics Department, College of Humanities and Science in Al Aflaj, Prince Sattam Bin Abdulaziz University, Al Aflaj, Saudi Arabia; Administration Department, Administrative Science College, Thamar University, Thamar, Yemen.
Irshad AhmadCollege of Applied Medical Sciences, Department of Medical Rehabilitation Sciences, King Khalid University, Abha, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 infection which is still infecting many individuals around the world and at the same time the recovered individuals after the recovery are infecting again. This reinfection of the individuals after the recovery may lead the disease to worse in the population with so many challenges to the health sectors. We study in the present work by formulating a mathematical model for SARS-CoV-2 with reinfection. We first briefly discuss the formulation of the model with the assumptions of reinfection, and then study the related qualitative properties of the model. We show that the reinfection model is stable locally asymptotically when R

Indexed as

COVID-19Basic Reproduction NumberHumansModels, TheoreticalReinfectionSARS-CoV-2Estimation of parametersMathematical model with reinfectionNumerical results and discussionStability analysis

Identifiers

PMID35413580
PMCPMC8983602

What OpenQuestion holds

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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.