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Dynamical Transmission of Coronavirus Model With Analysis and Simulation

dc.contributor.author Baleanu, Dumitru
dc.contributor.author Akgul, Ali
dc.contributor.author Ahmad, Aqeel
dc.contributor.author Saleem, Muhammad Umer
dc.contributor.author Farman, Muhammad
dc.contributor.authorID 56389 tr_TR
dc.contributor.other 02.02. Matematik
dc.contributor.other 02. Fen-Edebiyat Fakültesi
dc.contributor.other 01. Çankaya Üniversitesi
dc.date.accessioned 2022-04-07T08:25:48Z
dc.date.accessioned 2025-09-18T14:09:46Z
dc.date.available 2022-04-07T08:25:48Z
dc.date.available 2025-09-18T14:09:46Z
dc.date.issued 2021
dc.description Farman, Dr. Muhamamd/0000-0001-7616-0500; Saleem, Prof. Dr. Muhammad Umer/0000-0002-2263-3373 en_US
dc.description.abstract COVID-19 acts as a serious challenge to the whole world. Epidemiological data of COVID-19 is collected through media and web sources to analyze and investigate a system of nonlinear ordinary differential equation to understand the outbreaks of this epidemic disease. We analyze the diseases free and endemic equilibrium point including stability of the model. The certain threshold value of the basic reproduction number R-0 is found to observe whether population is in disease free state or endemic state. Moreover, the epidemic peak has been obtained and we expect a considerable number of cases. Finally, some numerical results are presented which show the effect of parameters estimation and different step size on our obtained solutions at the real data of some countries to check the actual behavior of the COVID-19 at different countries. en_US
dc.identifier.citation Farman, Muhammad...et al. (2021). "Dynamical Transmission of Coronavirus Model with Analysis and Simulation", CMES-Computer Modeling in Engineering & Sciences, Vol .127, No. 2, pp 753-769. en_US
dc.identifier.doi 10.32604/cmes.2021.014882
dc.identifier.issn 1526-1492
dc.identifier.issn 1526-1506
dc.identifier.scopus 2-s2.0-85104984835
dc.identifier.uri https://doi.org/10.32604/cmes.2021.014882
dc.identifier.uri https://hdl.handle.net/20.500.12416/13473
dc.language.iso en en_US
dc.publisher Tech Science Press en_US
dc.rights info:eu-repo/semantics/openAccess en_US
dc.subject Epidemic Model en_US
dc.subject Covid-19 en_US
dc.subject Parameter Estimation en_US
dc.subject Reproductive Number en_US
dc.subject Stability Analysis en_US
dc.title Dynamical Transmission of Coronavirus Model With Analysis and Simulation en_US
dc.title Dynamical Transmission of Coronavirus Model with Analysis and Simulation tr_TR
dc.type Article en_US
dspace.entity.type Publication
gdc.author.id Farman, Dr. Muhamamd/0000-0001-7616-0500
gdc.author.id Saleem, Prof. Dr. Muhammad Umer/0000-0002-2263-3373
gdc.author.institutional Baleanu, Dumitru
gdc.author.scopusid 59246857000
gdc.author.scopusid 58486733300
gdc.author.scopusid 59032365000
gdc.author.scopusid 7005872966
gdc.author.scopusid 7103095820
gdc.author.wosid Ahmad, Dr. Aqeel/Gqh-7590-2022
gdc.author.wosid Saleem, Prof. Dr. Muhammad Umer/Abf-8992-2020
gdc.author.wosid Baleanu, Dumitru/B-9936-2012
gdc.author.wosid Farman, Muhammad/Aaz-2869-2020
gdc.author.wosid Akgül, Ali/F-3909-2019
gdc.description.department Çankaya University en_US
gdc.description.departmenttemp [Farman, Muhammad; Ahmad, Aqeel] Univ Lahore, Dept Math & Stat, Lahore 54590, Pakistan; [Akgul, Ali] Siirt Univ, Fac Art & Sci, Dept Math, TR-56100 Siirt, Turkey; [Baleanu, Dumitru] Cankaya Univ, Dept Math, TR-06530 Ankara, Turkey; [Baleanu, Dumitru] Inst Space Sci, R-76900 Magurele, Romania; [Baleanu, Dumitru] China Med Univ, Dept Med Res, Taichung 40402, Taiwan; [Saleem, Muhammad Umer] Univ Educ, Dept Math, Lahore 54770, Pakistan en_US
gdc.description.endpage 769 en_US
gdc.description.issue 2 en_US
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality Q3
gdc.description.startpage 753 en_US
gdc.description.volume 127 en_US
gdc.description.woscitationindex Science Citation Index Expanded
gdc.description.wosquality Q2
gdc.identifier.openalex W3153835561
gdc.identifier.wos WOS:000642079800018
gdc.openalex.fwci 1.90821228
gdc.openalex.normalizedpercentile 0.87
gdc.opencitations.count 12
gdc.plumx.crossrefcites 8
gdc.plumx.mendeley 5
gdc.plumx.scopuscites 31
gdc.scopus.citedcount 31
gdc.wos.citedcount 27
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