ArticleTheory in biosciences = Theorie in den Biowissenschaften2021
Mathematical computations on epidemiology: a case study of the novel coronavirus (SARS-CoV-2).
Article in Theory in biosciences = Theorie in den Biowissenschaften, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 20 citations in OpenAlex.
- Mathematical analysis and computation of a spatiotemporal SIQR model.Theory in biosciences = Theorie in den Biowissenschaften · 2025Article
- Stationary distribution and density function analysis of SVIS epidemic model with saturated incidence and vaccination under stochastic environments.Theory in biosciences = Theorie in den Biowissenschaften · 2023Article
- Compartmental structures used in modeling COVID-19: a scoping review.Infectious diseases of poverty · 2022Article
- Public healthcare system capacity during COVID-19: A computational case study of SARS-CoV-2.Health science reports · 2021Article
- Uncovering survivorship bias in longitudinal mental health surveys during the COVID-19 pandemic.Epidemiology and psychiatric sciences · 2021Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The outbreak of coronavirus COVID-19 is spreading at an unprecedented rate to the human populations and taking several thousands of life all over the world. Scientists are trying to map the pattern of the transmission of coronavirus (SARS-CoV-2). Many countries are in the phase of lockdown in the globe. In this paper we predict about the effect of coronavirus COVID-19 and give a sneak peak when it will reduce the transmission rate in the world via mathematical modelling. In this research work our study is based on extensions of the well-known susceptible-exposed-infected-recovered (SEIR) family of compartmental models and later we observe the new model changes into (SEIR) without changing its physical meanings. The stability analysis of the coronavirus depends on changing of its basic reproductive ratio. The progress rate of the virus in the critically infected cases and the recovery rate have major roles to control this epidemic. The impact of social distancing, lockdown of the country, self-isolation, home quarantine and the wariness of global public health system have significant influence on the parameters of the model system that can alter the effect of recovery rates, mortality rates and active contaminated cases with the progression of time in the real world. The prognostic ability of mathematical model is circumscribed as of the accuracy of the available data and its application to the problem.
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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.