COVID-19 and Brain complications in adult and pediatric patients: A review on neuroimaging findings

Nalaini, Farhad; Zahabi, Saleh Salehi; Abdoli, Mohadese; Kazemi, E Haji; Mehrbakhsh, Mahmood; Khaledian, Salar; Fatahian, Reza

doi:10.55705/cmbr.2023.380339.1094

Cited by 1 publication

(1 citation statement)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It is also believed that COVID-19 affects the blood clotting system in the body, and appears to promote clot formation [4,5]. The coronavirus may cause a stroke about nine days after the onset of symptoms in a person, and experts say that a stroke can occur in any patient with COVID-19, regardless of age, and even those who have few or no symptoms; many people with COVID-19 under the age of 30 have suffered strokes even when their symptoms were mild [6].…”

Section: Introductionmentioning

confidence: 99%

Long-Term Side Effects: A Mathematical Modeling of COVID-19 and Stroke with Real Data

Özköse

2023

Fractal Fract

View full text Add to dashboard Cite

The post-effects of COVID-19 have begun to emerge in the long term in society. Stroke has become one of the most common side effects in the post-COVID community. In this study, to examine the relationship between COVID-19 and stroke, a fractional-order mathematical model has been constructed by considering the fear effect of being infected. The model’s positivity and boundedness have been proved, and stability has been examined for disease-free and co-existing equilibrium points to demonstrate the biological meaningfulness of the model. Subsequently, the basic reproduction number (the virus transmission potential (R0)) has been calculated. Next, the sensitivity analysis of the parameters according to R0 has been considered. Moreover, the values of the model parameters have been calculated using the parameter estimation method with real data originating from the United Kingdom. Furthermore, to underscore the benefits of fractional-order differential equations (FODEs), analyses demonstrating their relevance in memory trace and hereditary characteristics have been provided. Finally, numerical simulations have been highlighted to validate our theoretical findings and explore the system’s dynamic behavior. From the findings, we have seen that if the screening rate in the population is increased, more cases can be detected, and stroke development can be prevented. We also have concluded that if the fear in the population is removed, the infection will spread further, and the number of people suffering from a stroke may increase.

show abstract

Section: Introductionmentioning

confidence: 99%

Long-Term Side Effects: A Mathematical Modeling of COVID-19 and Stroke with Real Data

Özköse

2023

Fractal Fract

View full text Add to dashboard Cite

show abstract

COVID-19 and Brain complications in adult and pediatric patients: A review on neuroimaging findings

Cited by 1 publication

References 23 publications

Long-Term Side Effects: A Mathematical Modeling of COVID-19 and Stroke with Real Data

Long-Term Side Effects: A Mathematical Modeling of COVID-19 and Stroke with Real Data

Contact Info

Product

Resources

About