Evidence map›Paper›PMID 35276575›Full record

ArticleComputational biology and chemistry2022

A global report on the dynamics of COVID-19 with quarantine and hospitalization: A fractional order model with non-local kernel.

Zubair Ahmad, Sherif A El-Kafrawy, Thamir A Alandijany, Francesco Giannino, Ahmed A Mirza, Mai M El-Daly, Arwa A Faizo, Leena H Bajrai, Mohammad Amjad Kamal, Esam I Azhar

Open access · greenAbstract 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 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
5.7field-weighted citation impact, top 3% 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

6 citing papers in PubMed, 44 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

10 authors at 4 institutions in 5 countries.

Zubair AhmadDipartimento di Matematica e Fisica, Universit'a degli Studi della Campania "Luigi Vanvitelli", Caserta 81100, Italy. Electronic address: xubair5383@gmail.com.
Sherif A El-KafrawySpecial Infectious Agents Unit, King Fahd Medical Research Center, King Abdulaziz University, Jeddah, Saudi Arabia; Department of Medical Laboratory Sciences, Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah, Saudi Arabia. Electronic address: saelkfrawy@kau.edu.sa.
Thamir A AlandijanySpecial Infectious Agents Unit, King Fahd Medical Research Center, King Abdulaziz University, Jeddah, Saudi Arabia; Department of Medical Laboratory Sciences, Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah, Saudi Arabia. Electronic address: talandijany@kau.edu.sa.
Francesco GianninoDepartment of Agricultural Sciences, University of Naples Federico II, Portici, Italy. Electronic address: giannino@unina.it.
Ahmed A MirzaSpecial Infectious Agents Unit, King Fahd Medical Research Center, King Abdulaziz University, Jeddah, Saudi Arabia; Department of Medical Laboratory Sciences, Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah, Saudi Arabia. Electronic address: amirza1@kau.edu.sa.
Mai M El-DalySpecial Infectious Agents Unit, King Fahd Medical Research Center, King Abdulaziz University, Jeddah, Saudi Arabia; Department of Medical Laboratory Sciences, Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah, Saudi Arabia. Electronic address: meldaly@kau.edu.sa.
Arwa A FaizoSpecial Infectious Agents Unit, King Fahd Medical Research Center, King Abdulaziz University, Jeddah, Saudi Arabia; Department of Medical Laboratory Sciences, Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah, Saudi Arabia. Electronic address: aafaizo@kau.edu.sa.
Leena H BajraiSpecial Infectious Agents Unit, King Fahd Medical Research Center, King Abdulaziz University, Jeddah, Saudi Arabia; Biochemistry Department, Faculty of Sciences, King Abdulaziz University, Jeddah, Saudi Arabia. Electronic address: lbajrai@kau.edu.sa.
Mohammad Amjad KamalSpecial Infectious Agents Unit, King Fahd Medical Research Center, King Abdulaziz University, Jeddah, Saudi Arabia; Institutes for Systems Genetics, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu 610041, Sichuan, China; Department of Pharmacy, Faculty of Allied Health Sciences, Daffodil International University, Bangladesh; Enzymoics, 7 Peterlee place, Novel Global Community Educational Foundation, Hebersham, NSW 2770, Australia. Electronic address: prof.ma.kamal@gmail.com.
Esam I AzharSpecial Infectious Agents Unit, King Fahd Medical Research Center, King Abdulaziz University, Jeddah, Saudi Arabia; Department of Medical Laboratory Sciences, Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah, Saudi Arabia. Electronic address: eazhar@kau.edu.sa.
King Abdulaziz University · SADaffodil International University · BDFederico II University Hospital · ITUniversity of Campania "Luigi Vanvitelli" · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this paper, a compartmental mathematical model has been utilized to gain a better insight about the future dynamics of COVID-19. The total human population is divided into eight various compartments including susceptible, exposed, pre-asymptomatic, asymptomatic, symptomatic, quarantined, hospitalized and recovered or removed individuals. The problem was modeled in terms of highly nonlinear coupled system of classical order ordinary differential equations (ODEs) which was further generalized with the Atangana-Balaeanu (ABC) fractional derivative in Caputo sense with nonlocal kernel. Furthermore, some theoretical analyses have been done such as boundedness, positivity, existence and uniqueness of the considered. Disease-free and endemic equilibrium points were also assessed. The basic reproduction was calculated through next generation technique. Due to high risk of infection, in the present study, we have considered the reported cases from three continents namely Americas, Europe, and south-east Asia. The reported cases were considered between 1st May 2021 and 31st July 2021 and on the basis of this data, the spread of infection is predicted for the next 200 days. The graphical solution of the considered nonlinear fractional model was obtained via numerical scheme by implementing the MATLAB software. Based on the fitted values of parameters, the basic reproduction number ℜ

Indexed as

COVID-19QuarantineAsiaBasic Reproduction NumberHospitalizationHumansAtangana-Baleanu (ABC) Fractional DerivativeBasic Reproduction NumberCOVID-19Disease Free EquilibriumEndemic EquilibriumMATLAB

Identifiers

PMID35276575
PMCPMC8857780
OpenAlexW4212943848

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.