Litcius/Paper detail

On the decomposition and analysis of novel simultaneous SEIQR epidemic model

Kalpana Umapathy, Balaganesan Palanivelu, Renuka Jayaraj, Dumitru Bǎleanu, Prasantha Bharathi Dhandapani

2022AIMS Mathematics14 citationsDOIOpen Access PDF

Abstract

<abstract><p>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 SEIQR model with decomposed other epidemic models.</p></abstract>

Topics & Concepts

NoveltyStability (learning theory)Epidemic modelPandemicCoronavirus disease 2019 (COVID-19)Applied mathematicsDecompositionBasic reproduction numberComputer scienceMathematicsBiologyDemographyMachine learningMedicinePsychologyEcologySociologySocial psychologyPathologyDiseaseInfectious disease (medical specialty)PopulationCOVID-19 epidemiological studiesMathematical and Theoretical Epidemiology and Ecology ModelsEvolution and Genetic Dynamics