ArticleBiophysics2022
Mathematical Analysis of a COVID-19 Epidemic Model by Using Data Driven Epidemiological Parameters of Diseases Spread in India.
Article in Biophysics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 32 citations in OpenAlex.
- Article
- Attention based parameter estimation and states forecasting of COVID-19 pandemic using modified SIQRD Model.Chaos, solitons, and fractals · 2022Article
- Mathematical Modeling and Control of COVID-19 Using Super Twisting Sliding Mode and Nonlinear Techniques.Computational intelligence and neuroscience · 2022Article
- A novel hybrid SEIQR model incorporating the effect of quarantine and lockdown regulations for COVID-19.Scientific reports · 2021Article
- Modeling the effects of the contaminated environments on COVID-19 transmission in India.Results in physics · 2021Article
- Dynamical analysis of novel COVID-19 epidemic model with non-monotonic incidence function.Journal of public affairs · 2021Article
- A SIQ mathematical model on COVID-19 investigating the lockdown effect.Infectious Disease Modelling · 2021Article
- Study on the SEIQR model and applying the epidemiological rates of COVID-19 epidemic spread in Saudi Arabia.Infectious Disease Modelling · 2021Article
- A study on the spread of COVID 19 outbreak by using mathematical modeling.Results in physics · 2020Article
- Article
- Stochastic approach to study control strategies of Covid-19 pandemic in India.Epidemiology and infection · 2020Article
- Article
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This paper attempts to describe the outbreak of Severe Acute Respiratory Syndrome Coronavirus 2 (COVID-19) via an epidemic model. This virus has dissimilar effects in different countries. The number of new active coronavirus cases is increasing gradually across the globe. India is now in the second stage of COVID-19 spreading, it will be an epidemic very quickly if proper protection is not undertaken based on the database of the transmission of the disease. This paper is using the current data of COVID-19 for the mathematical modeling and its dynamical analysis. We bring in a new representation to appraise and manage the outbreak of infectious disease COVID-19 through SEQIR pandemic model, which is based on the supposition that the infected but undetected by testing individuals are send to quarantine during the incubation period. During the incubation period if any individual be infected by COVID-19, then that confirmed infected individuals are isolated and the necessary treatments are arranged so that they cannot taint the other residents in the community. Dynamics of the SEQIR model is presented by basic reproduction number
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.