ArticleChaos, solitons, and fractals2021
Optimal Control of Mathematical modeling of the spread of the COVID-19 pandemic with highlighting the negative impact of quarantine on diabetics people with Cost-effectiveness.
Article in Chaos, solitons, and fractals, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
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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
11 citing papers in PubMed, 1 synthesis or guideline pooled it, 58 citations in OpenAlex.
- Cost of the COVID-19 pandemic versus the cost-effectiveness of mitigation strategies in EU/UK/OECD: a systematic review.BMJ open · 2023Pooled it
- Dynamical modeling and analysis of the impact of zonal prevention and control under normalized management on African Swine Fever transmission in China.Infectious Disease Modelling · 2026Article
- Cost-effectiveness analysis of COVID-19 intervention policies using a mathematical model: an optimal control approach.Scientific reports · 2024Article
- Anti-infection effects of heparin on SARS-CoV-2 in a diabetic mouse model.Zoological research · 2023Article
- A nonlinear mathematical model on the Covid-19 transmission pattern among diabetic and non-diabetic population.Mathematics and computers in simulation · 2023Article
- Article
- Optimal control and cost-effectiveness analysis of a new COVID-19 model for Omicron strain.Physica A · 2022Article
- A patchy theoretical model for the transmission dynamics of SARS-Cov-2 with optimal control.Scientific reports · 2022Article
- On fractal-fractional Covid-19 mathematical model.Chaos, solitons, and fractals · 2022Article
- Mathematical modeling and stability analysis of the COVID-19 with quarantine and isolation.Results in physics · 2022Article
- A new fuzzy fractal control approach of non-linear dynamic systems: The case of controlling the COVID-19 pandemics.Chaos, solitons, and fractals · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
As of November 14, 2020, the number of people infected with the COVID-19 disease has reached more than 54 million people worldwide and more than 1323196 people have died, according to the World Health Organization. This requires many countries to impose a health emergency or quarantine, which has had positive results in reducing the spread of the COVID-19 pandemic, and it has also had negative economic, social and health effects. So, we suggest a mathematical model for the dynamics of how COVID-19 disease is spread, as well as a mathematical modeling for the dynamics of diabetes, then highlight the negative effect of quarantine has on the health of diabetics. Pontryagin's maximum principle is used to characterize the optimal controls, and the optimality system is solved by an iterative method. Finally, some numerical simulations are performed to verify the theoretical analysis using MATLAB.
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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.