On the Decomposition and Analysis of Novel Simultaneous Seiqr Epidemic Model
| dc.contributor.author | Palanivelu, Balaganesan | |
| dc.contributor.author | Jayaraj, Renuka | |
| dc.contributor.author | Baleanu, Dumitru | |
| dc.contributor.author | Dhandapani, Prasantha Bharathi | |
| dc.contributor.author | Umapathy, Kalpana | |
| dc.date.accessioned | 2024-07-04T10:05:11Z | |
| dc.date.accessioned | 2025-09-18T12:10:01Z | |
| dc.date.available | 2024-07-04T10:05:11Z | |
| dc.date.available | 2025-09-18T12:10:01Z | |
| dc.date.issued | 2023 | |
| dc.description | Dhandapani, Prasantha Bharathi/0000-0002-3152-1592 | en_US |
| dc.description.abstract | In this manuscript, we are proposing a new kind of modified Susceptible Exposed Infected Quarantined Recovered model (SEIQR) with some assumed data. The novelty imposed here in the study is that we are studying simultaneously SIR, SEIR, SIQR, and SEQR pandemic models with the same data unchanged as the SEIQR model. We are taking this model a step ahead by using a non-helpful transition because it was mostly skipped in the literature. All sorts of features that are essential to study the models, such as basic reproduction number, stability analysis, and numerical simulations have been examined for this modified model with other models. | en_US |
| dc.description.sponsorship | AMET | en_US |
| dc.description.sponsorship | The authors would like to thank the anonymous reviewers and editor for their valuable comments and beneficial suggestions for improving the quality of the paper. Shri J. Ramachandran, Chancellor, Col., and Dr. G. Thiruvasagam, Vice -Chancellor, Academy of Maritime Education and Training (AMET) , Chennai, Tamil Nadu are also acknowledged. | en_US |
| dc.identifier.citation | Umapathy, Kalpana...et al.(2023). "On the decomposition and analysis of novel simultaneous SEIQR epidemic model", AIMS Mathematics, Vol. 8, No. 3, pp. 5918-5933. | en_US |
| dc.identifier.doi | 10.3934/math.2023298 | |
| dc.identifier.issn | 2473-6988 | |
| dc.identifier.scopus | 2-s2.0-85144964086 | |
| dc.identifier.uri | https://doi.org/10.3934/math.2023298 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12416/11572 | |
| dc.language.iso | en | en_US |
| dc.publisher | Amer inst Mathematical Sciences-aims | en_US |
| dc.relation.ispartof | AIMS Mathematics | |
| dc.rights | info:eu-repo/semantics/openAccess | en_US |
| dc.subject | New Seiqr Epidemic Model | en_US |
| dc.subject | Basic Reproduction Number | en_US |
| dc.subject | Stability Analysis | en_US |
| dc.subject | Sensitivity Analysis | en_US |
| dc.subject | Pandemic Model | en_US |
| dc.subject | Quarantine Strategy | en_US |
| dc.title | On the Decomposition and Analysis of Novel Simultaneous Seiqr Epidemic Model | en_US |
| dc.title | On the decomposition and analysis of novel simultaneous SEIQR epidemic model | tr_TR |
| dc.type | Article | en_US |
| dspace.entity.type | Publication | |
| gdc.author.id | Dhandapani, Prasantha Bharathi/0000-0002-3152-1592 | |
| gdc.author.scopusid | 58034090900 | |
| gdc.author.scopusid | 55904511200 | |
| gdc.author.scopusid | 58033930000 | |
| gdc.author.scopusid | 7005872966 | |
| gdc.author.scopusid | 57211636741 | |
| gdc.author.wosid | Dhandapani, Dr. Prasantha Bharathi/Itv-5076-2023 | |
| gdc.author.wosid | Baleanu, Dumitru/B-9936-2012 | |
| gdc.author.yokid | 56389 | |
| gdc.bip.impulseclass | C5 | |
| gdc.bip.influenceclass | C5 | |
| gdc.bip.popularityclass | C4 | |
| gdc.coar.access | open access | |
| gdc.coar.type | text::journal::journal article | |
| gdc.collaboration.industrial | false | |
| gdc.description.department | Çankaya University | en_US |
| gdc.description.departmenttemp | [Umapathy, Kalpana; Palanivelu, Balaganesan] AMET Deemed Univ, Dept Math, Chennai 603112, Tamil Nadu, India; [Jayaraj, Renuka] Womens Christian Coll, Dept Math, Chennai 600006, Tamil Nadu, India; [Baleanu, Dumitru] Cankaya Univ, Dept Math, TR-06530 Ankara, Turkiye; [Baleanu, Dumitru] Inst Space Sci, Bucharest, Romania; [Baleanu, Dumitru] China Med Univ, China Med Univ Hosp, Dept Med Res, Taichung, Taiwan; [Dhandapani, Prasantha Bharathi] Sri Eshwar Coll Engn, Dept Math, Coimbatore 641202, Tamil Nadu, India | en_US |
| gdc.description.endpage | 5933 | en_US |
| gdc.description.issue | 3 | en_US |
| gdc.description.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
| gdc.description.scopusquality | Q1 | |
| gdc.description.startpage | 5918 | en_US |
| gdc.description.volume | 8 | en_US |
| gdc.description.woscitationindex | Science Citation Index Expanded | |
| gdc.description.wosquality | Q1 | |
| gdc.identifier.openalex | W4312933579 | |
| gdc.identifier.wos | WOS:000906726400006 | |
| gdc.index.type | WoS | |
| gdc.index.type | Scopus | |
| gdc.oaire.accesstype | GOLD | |
| gdc.oaire.diamondjournal | false | |
| gdc.oaire.impulse | 4.0 | |
| gdc.oaire.influence | 2.673482E-9 | |
| gdc.oaire.isgreen | false | |
| gdc.oaire.keywords | pandemic model | |
| gdc.oaire.keywords | Epidemic Models | |
| gdc.oaire.keywords | Infectious disease (medical specialty) | |
| gdc.oaire.keywords | stability analysis | |
| gdc.oaire.keywords | Social psychology | |
| gdc.oaire.keywords | sensitivity analysis | |
| gdc.oaire.keywords | Sociology | |
| gdc.oaire.keywords | Epidemic model | |
| gdc.oaire.keywords | Pathology | |
| gdc.oaire.keywords | Psychology | |
| gdc.oaire.keywords | Disease | |
| gdc.oaire.keywords | Stability (learning theory) | |
| gdc.oaire.keywords | Ecology | |
| gdc.oaire.keywords | Modeling the Dynamics of COVID-19 Pandemic | |
| gdc.oaire.keywords | Evolutionary Dynamics of Genetic Adaptation and Mutation | |
| gdc.oaire.keywords | quarantine strategy | |
| gdc.oaire.keywords | Life Sciences | |
| gdc.oaire.keywords | Novelty | |
| gdc.oaire.keywords | Basic reproduction number | |
| gdc.oaire.keywords | FOS: Sociology | |
| gdc.oaire.keywords | FOS: Psychology | |
| gdc.oaire.keywords | Modeling and Simulation | |
| gdc.oaire.keywords | Disease Transmission and Population Dynamics | |
| gdc.oaire.keywords | Physical Sciences | |
| gdc.oaire.keywords | Medicine | |
| gdc.oaire.keywords | new seiqr epidemic model | |
| gdc.oaire.keywords | Population | |
| gdc.oaire.keywords | basic reproduction number | |
| gdc.oaire.keywords | Biochemistry, Genetics and Molecular Biology | |
| gdc.oaire.keywords | Health Sciences | |
| gdc.oaire.keywords | Machine learning | |
| gdc.oaire.keywords | QA1-939 | |
| gdc.oaire.keywords | FOS: Mathematics | |
| gdc.oaire.keywords | Genetics | |
| gdc.oaire.keywords | Biology | |
| gdc.oaire.keywords | Demography | |
| gdc.oaire.keywords | Decomposition | |
| gdc.oaire.keywords | Pandemic | |
| gdc.oaire.keywords | Public Health, Environmental and Occupational Health | |
| gdc.oaire.keywords | Applied mathematics | |
| gdc.oaire.keywords | Computer science | |
| gdc.oaire.keywords | Coronavirus disease 2019 (COVID-19) | |
| gdc.oaire.keywords | FOS: Biological sciences | |
| gdc.oaire.keywords | Mathematics | |
| gdc.oaire.popularity | 4.9786446E-9 | |
| gdc.oaire.publicfunded | false | |
| gdc.oaire.sciencefields | 02 engineering and technology | |
| gdc.oaire.sciencefields | 01 natural sciences | |
| gdc.oaire.sciencefields | 0202 electrical engineering, electronic engineering, information engineering | |
| gdc.oaire.sciencefields | 0103 physical sciences | |
| gdc.openalex.collaboration | International | |
| gdc.openalex.fwci | 1.91775586 | |
| gdc.openalex.normalizedpercentile | 0.81 | |
| gdc.opencitations.count | 4 | |
| gdc.plumx.mendeley | 1 | |
| gdc.plumx.newscount | 1 | |
| gdc.plumx.scopuscites | 19 | |
| gdc.scopus.citedcount | 19 | |
| gdc.virtual.author | Baleanu, Dumitru | |
| gdc.wos.citedcount | 11 | |
| relation.isAuthorOfPublication | f4fffe56-21da-4879-94f9-c55e12e4ff62 | |
| relation.isAuthorOfPublication.latestForDiscovery | f4fffe56-21da-4879-94f9-c55e12e4ff62 | |
| relation.isOrgUnitOfPublication | 26a93bcf-09b3-4631-937a-fe838199f6a5 | |
| relation.isOrgUnitOfPublication | 28fb8edb-0579-4584-a2d4-f5064116924a | |
| relation.isOrgUnitOfPublication | 0b9123e4-4136-493b-9ffd-be856af2cdb1 | |
| relation.isOrgUnitOfPublication.latestForDiscovery | 26a93bcf-09b3-4631-937a-fe838199f6a5 |
