ArticleScientific African2020
Dynamic model of COVID-19 disease with exploratory data analysis.
Article in Scientific African, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
8 citing papers in PubMed.
- Optimal control of the coronavirus pandemic with both pharmaceutical and non-pharmaceutical interventions.International journal of dynamics and control · 2023Article
- Model-agnostic explainable artificial intelligence tools for severity prediction and symptom analysis on Indian COVID-19 data.Frontiers in artificial intelligence · 2023Article
- Impact of public sentiments on the transmission of COVID-19 across a geographical gradient.PeerJ · 2023Article
- Dynamical analysis of a discrete-time COVID-19 epidemic model.Mathematical methods in the applied sciences · 2022Article
- Explainable features responsible for the high or low spread of SARS-CoV-2: Africa in view.Scientific African · 2022Article
- Application of optimal control to the dynamics of COVID-19 disease in South Africa.Scientific African · 2022Article
- Mathematical assessment of the role of denial on COVID-19 transmission with non-linear incidence and treatment functions.Scientific African · 2021Article
- A fractional order approach to modeling and simulations of the novel COVID-19.Advances in difference equations · 2020Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Novel Coronavirus is a highly infectious disease, with over one million confirmed cases and thousands of deaths recorded. The disease has become pandemic, affecting almost all nations of the world, and has caused enormous economic, social and psychological burden on countries. Hygiene and educational campaign programmes have been identified to be potent public health interventions that can curtail the spread of the highly infectious disease. In order to verify this claim quantitatively, we propose and analyze a non-linear mathematical model to investigate the effect of healthy sanitation and awareness on the transmission dynamics of Coronavirus disease (COVID-19) prevalence. Rigorous stability analysis of the model equilibrium points was performed to ascertain the basic reproduction number
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Registered trials
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.