ArticleNonlinear dynamics2020
COVID-19 pandemic in India: a mathematical model study.
Article in Nonlinear dynamics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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Who cites it
25 citing papers in PubMed.
- Modeling COVID-19 pneumonia and COVID-associated pulmonary aspergillosis: sensitivity analysis and optimal control.BMC infectious diseases · 2025Article
- A six-compartment model for COVID-19 with transmission dynamics and public health strategies.Scientific reports · 2024Article
- A mathematical model for the transmission of co-infection with COVID-19 and kidney disease.Scientific reports · 2024Article
- Omicron vs. the rest: Assessing the competitive dynamics and coinfection scenarios of COVID-19 strains on a social network.PloS one · 2024Article
- COVID-19 transmission dynamics and the impact of vaccination: modelling, analysis and simulations.Royal Society open science · 2023Article
- Stability analysis and optimal control of a fractional-order generalized SEIR model for the COVID-19 pandemic.Applied mathematics and computation · 2023Article
- Transition dynamics between a novel coinfection model of fractional-order for COVID-19 and tuberculosis via a treatment mechanism.European physical journal plus · 2023Article
- Optimal control strategies for the reliable and competitive mathematical analysis of Covid-19 pandemic model.Mathematical methods in the applied sciences · 2022Article
- Optimal Drug Regimen and Combined Drug Therapy and Its Efficacy in the Treatment of COVID-19: A Within-Host Modeling Study.Acta biotheoretica · 2022Article
- Modeling of COVID-19 spread with self-isolation at home and hospitalized classes.Results in physics · 2022Article
- NICOV : a model to analyse impact of nutritional status and immunity on COVID-19.Medical & biological engineering & computing · 2022Article
- Article
- Transmission in home environment associated with the second wave of COVID-19 pandemic in India.Environmental research · 2022Article
- Transmission dynamics model and the coronavirus disease 2019 epidemic: applications and challenges.Medical review (2021) · 2022Review
- Data analysis and prediction of the COVID-19 outbreak in the first and second waves for top 5 affected countries in the world.Nonlinear dynamics · 2022Article
- COVID-19 outbreak and Urban dynamics: regional variations in India.GeoJournal · 2022Article
- Dynamical analysis of coronavirus disease with crowding effect, and vaccination: a study of third strain.Nonlinear dynamics · 2022Article
- Study of COVID-19 epidemiological evolution in India with a multi-wave SIR model.Nonlinear dynamics · 2022Article
- A multicompartment mathematical model to study the dynamic behaviour of COVID-19 using vaccination as control parameter.Nonlinear dynamics · 2022Article
- Discrete and continuum models of COVID-19 virus, formal solutions, stability and comparison with real data.Mathematics and computers in simulation · 2021Article
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4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The present novel coronavirus (SARS-CoV-2) infection has created a global emergency situation by spreading all over the world in a large scale within very short time period. But there is no vaccine, anti-viral medicine for such infection. So at this moment, a major worldwide problem is that how we can control this pandemic. On the other hand, India is high population density country, where the coronavirus infection disease (COVID-19) has started from 1 March 2020. Due to high population density, human to human social contact rate is very high in India. So controlling pandemic COVID-19 in early stage is very urgent and challenging problem of India. Mathematical models are employed to study the disease dynamics, identify the influential parameters and access the proper prevention strategies for reduction outbreak size. In this work, we have formulated a deterministic compartmental model to study the spreading of COVID-19 and estimated the model parameters by fitting the model with reported data of ongoing pandemic in India. Sensitivity analysis has been done to identify the influential model parameters. The basic reproduction number has been estimated from actual data and the effective basic reproduction number has been studied on the basis of reported cases. Some effective preventive measures and their impact have also been studied. Prediction are given on the future trends of the virus transmission under some control measures. Finally, the positive measures to control the disease have been summarized in the conclusion section.
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