A Study on the Transmission Dynamics of the Omicron Variant of COVID-19 Using Nonlinear Mathematical Models
dc.authorid | Dickson, S/0000-0002-4805-3502 | |
dc.authorid | S, Padmasekaran/0000-0002-8873-7853 | |
dc.authorid | S, Dickson/0000-0002-4805-3502 | |
dc.authorid | Kumar, Pushpendra/0000-0002-7755-2837 | |
dc.authorscopusid | 57659805100 | |
dc.authorscopusid | 35280773800 | |
dc.authorscopusid | 57217132593 | |
dc.authorscopusid | 56715663200 | |
dc.authorscopusid | 16239511100 | |
dc.authorwosid | Dickson, S/IVU-7575-2023 | |
dc.authorwosid | S, Padmasekaran/IQS-1382-2023 | |
dc.authorwosid | S, Dickson/AGQ-6147-2022 | |
dc.authorwosid | Kumar, Pushpendra/AAA-1223-2021 | |
dc.contributor.author | Dickson, S. | |
dc.contributor.author | Padmasekaran, S. | |
dc.contributor.author | Kumar, Pushpendra | |
dc.contributor.author | Nisar, Kottakkaran Sooppy | |
dc.contributor.author | Marasi, Hamidreza | |
dc.date.accessioned | 2024-05-25T11:37:42Z | |
dc.date.available | 2024-05-25T11:37:42Z | |
dc.date.issued | 2024 | |
dc.department | Okan University | en_US |
dc.department-temp | [Dickson, S.; Padmasekaran, S.] Periyar Univ, Dept Math, Salem 636011, Tamilnadu, India; [Kumar, Pushpendra] Istanbul Okan Univ, Fac Engn & Nat Sci, Istanbul, Turkiye; [Nisar, Kottakkaran Sooppy] Prince Sattam Bin Abdulaziz Univ, Coll Sci & Humanities Alkharj, Dept Math, Alkharj 11942, Saudi Arabia; [Marasi, Hamidreza] Univ Tabriz, Fac Math Stat & Comp Sci, Dept Appl Math, Tabriz, Iran | en_US |
dc.description | Dickson, S/0000-0002-4805-3502; S, Padmasekaran/0000-0002-8873-7853; S, Dickson/0000-0002-4805-3502; Kumar, Pushpendra/0000-0002-7755-2837 | en_US |
dc.description.abstract | This research examines the transmission dynamics of the Omicron variant of COVID-19 using SEIQIcRVW and SQIRV models, considering the delay in converting susceptible individuals into infected ones. The significant delays eventually resulted in the pandemic's containment. To ensure the safety of the host population, this concept integrates quarantine and the COVID-19 vaccine. We investigate the stability of the proposed models. The fundamental reproduction number influences stability conditions. According to our findings, asymptomatic cases considerably impact the prevalence of Omicron infection in the community. The real data of the Omicron variant from Chennai, Tamil Nadu, India, is used to validate the outputs. | en_US |
dc.description.sponsorship | Prince Sattam bin Abdulaziz University [PSAU/2023/R/1444]; Periyar University, Salem [PU/AD-3/URF/21F37237/2021]; DST [SR/FST/MSI-115/2016] | en_US |
dc.description.sponsorship | This study is supported via funding from Prince Sattam bin Abdulaziz University Project Number (PSAU/2023/R/1444) . The first author is partially supported by the University Research Fellowship (PU/AD-3/URF/21F37237/2021 dated 09.11.2021) of Periyar University, Salem. The second author is supported by the fund for improvement of Science and Technology Infrastructure (FIST) of DST (SR/FST/MSI-115/2016) . | en_US |
dc.identifier.citation | 1 | |
dc.identifier.doi | 10.32604/cmes.2023.030286 | |
dc.identifier.endpage | 2287 | en_US |
dc.identifier.issn | 1526-1492 | |
dc.identifier.issn | 1526-1506 | |
dc.identifier.issue | 3 | en_US |
dc.identifier.scopus | 2-s2.0-85191342310 | |
dc.identifier.scopusquality | Q3 | |
dc.identifier.startpage | 2265 | en_US |
dc.identifier.uri | https://doi.org/10.32604/cmes.2023.030286 | |
dc.identifier.uri | https://hdl.handle.net/20.500.14517/1210 | |
dc.identifier.volume | 139 | en_US |
dc.identifier.wos | WOS:001179513300001 | |
dc.identifier.wosquality | Q2 | |
dc.language.iso | en | |
dc.publisher | Tech Science Press | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/openAccess | en_US |
dc.subject | Omicron | en_US |
dc.subject | local stability | en_US |
dc.subject | reproduction number | en_US |
dc.subject | steady states | en_US |
dc.subject | global stability | en_US |
dc.title | A Study on the Transmission Dynamics of the Omicron Variant of COVID-19 Using Nonlinear Mathematical Models | en_US |
dc.type | Article | en_US |
dspace.entity.type | Publication |