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Article ; Online: On fractional approaches to the dynamics of a SARS-CoV-2 infection model including singular and non-singular kernels.

Ghanbari, Behzad

2021 Volume 28, Page(s) 104600

Abstract: Covid-19 (2019-nCoV) disease has been spreading in China since late 2019 and has spread to various countries around the world. With the spread of the disease around the world, much attention has been paid to epidemiological knowledge. This knowledge ... ...

Abstract	Covid-19 (2019-nCoV) disease has been spreading in China since late 2019 and has spread to various countries around the world. With the spread of the disease around the world, much attention has been paid to epidemiological knowledge. This knowledge plays a key role in understanding the pattern of disease transmission and how to prevent a larger population from contracting it. In the meantime, one should not overlook the significant role that mathematical descriptions play in epidemiology. In this paper, using some known definitions of fractional derivatives, which is a relatively new definition in differential calculus, and then by employing them in a mathematical framework, the effects of these tools in a better description of the epidemic of a SARS-CoV-2 infection is investigated. To solve these problems, efficient numerical methods have been used which can provide a very good approximation of the solution of the problem. In addition, numerical simulations related to each method will be provided in solving these models. The results obtained in each case indicate that the used approximate methods have been able to provide a good description of the problem situation.
Language	English
Publishing date	2021-07-28
Publishing country	Netherlands
Document type	Journal Article
ZDB-ID	2631798-9
ISSN	2211-3797 ; 2211-3797
ISSN (online)	2211-3797
ISSN	2211-3797
DOI	10.1016/j.rinp.2021.104600
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Article ; Online: On the modeling of an eco-epidemiological model using a new fractional operator

Behzad Ghanbari

Results in Physics, Vol 21, Iss , Pp 103799- (2021)

2021

Abstract: Having advanced numerical techniques in solving fractional problems is always one of the apparent needs in increasing the use of these tools in real-world problems. The major part of the progress made in this area has been due to development of effective ...

Abstract	Having advanced numerical techniques in solving fractional problems is always one of the apparent needs in increasing the use of these tools in real-world problems. The major part of the progress made in this area has been due to development of effective numerical methods and techniques. In this article, we study a new approach to analyze the dynamics of an eco-epidemiological through a nonlinear fractional system of differential equations. Eco-epidemiology has become a significant topic of computational biology which connects ecology with epidemiology. In these models, the presence of a disease in one of populations in the environment brings major changes in the essential components of that system. For the model, the equilibrium points of the system are calculated. Then we present the convergence and uniqueness theorems of the solution obtained from the use of the fractional derivative operator. In another part of this research, the algorithm for implementing a numerical technique with high accuracy in approximating the numerical solutions of a fractional-order system is expressed. Using this algorithm, various numerical simulations are considered in the paper regarding to some parameters’ role in the model. Adding significant benefits from fractional-order derivatives to the model will be one of the achievements of this paper. A similar trend can be tested in the study of other models in eco-epidemiological problems.
Keywords	Mathematical biology ; Eco-epidemiological models ; Chaotic results ; Numerical discretization ; Fractional models ; Physics ; QC1-999
Subject code	518
Language	English
Publishing date	2021-02-01T00:00:00Z
Publisher	Elsevier
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article: A fractional system of delay differential equation with nonsingular kernels in modeling hand-foot-mouth disease.

Ghanbari, Behzad

Advances in difference equations

2020 Volume 2020, Issue 1, Page(s) 536

Abstract: In this article, we examine a computational model to explore the prevalence of a viral infectious disease, namely hand-foot-mouth disease, which is more common in infants and children. The structure of this model consists of six sub-populations along ... ...

Abstract	In this article, we examine a computational model to explore the prevalence of a viral infectious disease, namely hand-foot-mouth disease, which is more common in infants and children. The structure of this model consists of six sub-populations along with two delay parameters. Besides, by taking advantage of the Atangana-Baleanu fractional derivative, the ability of the model to justify different situations for the system has been improved. Discussions about the existence of the solution and its uniqueness are also included in the article. Subsequently, an effective numerical scheme has been employed to obtain several meaningful approximate solutions in various scenarios imposed on the problem. The sensitivity analysis of some existing parameters in the model has also been investigated through several numerical simulations. One of the advantages of the fractional derivative used in the model is the use of the concept of memory in maintaining the substantial properties of the understudied phenomena from the origin of time to the desired time. It seems that the tools used in this model are very powerful and can effectively simulate the expected theoretical conditions in the problem, and can also be recommended in modeling other computational models in infectious diseases.
Keywords	covid19
Language	English
Publishing date	2020-09-29
Publishing country	Germany
Document type	Journal Article
ZDB-ID	2132815-8
ISSN	1687-1847 ; 1687-1839
ISSN (online)	1687-1847
ISSN	1687-1839
DOI	10.1186/s13662-020-02993-3
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Article: On forecasting the spread of the COVID-19 in Iran: The second wave.

Ghanbari, Behzad

Chaos, solitons, and fractals

2020 Volume 140, Page(s) 110176

Abstract: One of the common misconceptions about COVID-19 disease is to assume that we will not see a recurrence after the first wave of the disease has subsided. This completely wrong perception causes people to disregard the necessary protocols and engage in ... ...

Abstract	One of the common misconceptions about COVID-19 disease is to assume that we will not see a recurrence after the first wave of the disease has subsided. This completely wrong perception causes people to disregard the necessary protocols and engage in some misbehavior, such as routine socializing or holiday travel. These conditions will put double pressure on the medical staff and endanger the lives of many people around the world. In this research, we are interested in analyzing the existing data to predict the number of infected people in the second wave of out-breaking COVID-19 in Iran. For this purpose, a model is proposed. The mathematical analysis corresponded to the model is also included in this paper. Based on proposed numerical simulations, several scenarios of progress of COVID-19 corresponding to the second wave of the disease in the coming months, will be discussed. We predict that the second wave of will be most severe than the first one. From the results, improving the recovery rate of people with weak immune systems via appropriate medical incentives is resulted as one of the most effective prescriptions to prevent the widespread unbridled outbreak of the second wave of COVID-19.
Keywords	covid19
Language	English
Publishing date	2020-07-28
Publishing country	England
Document type	Journal Article
ZDB-ID	2003919-0
ISSN	1873-2887 ; 0960-0779
ISSN (online)	1873-2887
ISSN	0960-0779
DOI	10.1016/j.chaos.2020.110176
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Article: On the modeling of the interaction between tumor growth and the immune system using some new fractional and fractional-fractal operators.

Ghanbari, Behzad

Advances in difference equations

2020 Volume 2020, Issue 1, Page(s) 585

Abstract: Humans are always exposed to the threat of infectious diseases. It has been proven that there is a direct link between the strength or weakness of the immune system and the spread of infectious diseases such as tuberculosis, hepatitis, AIDS, and Covid-19 ...

Abstract	Humans are always exposed to the threat of infectious diseases. It has been proven that there is a direct link between the strength or weakness of the immune system and the spread of infectious diseases such as tuberculosis, hepatitis, AIDS, and Covid-19 as soon as the immune system has no the power to fight infections and infectious diseases. Moreover, it has been proven that mathematical modeling is a great tool to accurately describe complex biological phenomena. In the recent literature, we can easily find that these effective tools provide important contributions to our understanding and analysis of such problems such as tumor growth. This is indeed one of the main reasons for the need to study computational models of how the immune system interacts with other factors involved. To this end, in this paper, we present some new approximate solutions to a computational formulation that models the interaction between tumor growth and the immune system with several fractional and fractal operators. The operators used in this model are the Liouville-Caputo, Caputo-Fabrizio, and Atangana-Baleanu-Caputo in both fractional and fractal-fractional senses. The existence and uniqueness of the solution in each of these cases is also verified. To complete our analysis, we include numerous numerical simulations to show the behavior of tumors. These diagrams help us explain mathematical results and better describe related biological concepts. In many cases the approximate results obtained have a chaotic structure, which justifies the complexity of unpredictable and uncontrollable behavior of cancerous tumors. As a result, the newly implemented operators certainly open new research windows in further computational models arising in the modeling of different diseases. It is confirmed that similar problems in the field can be also be modeled by the approaches employed in this paper.
Keywords	covid19
Language	English
Publishing date	2020-10-19
Publishing country	Germany
Document type	Journal Article
ZDB-ID	2132815-8
ISSN	1687-1847 ; 1687-1839
ISSN (online)	1687-1847
ISSN	1687-1839
DOI	10.1186/s13662-020-03040-x
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Article ; Online: On the modeling of the interaction between tumor growth and the immune system using some new fractional and fractional-fractal operators

Behzad Ghanbari

Advances in Difference Equations, Vol 2020, Iss 1, Pp 1-

2020 Volume 32

Abstract: Abstract Humans are always exposed to the threat of infectious diseases. It has been proven that there is a direct link between the strength or weakness of the immune system and the spread of infectious diseases such as tuberculosis, hepatitis, AIDS, and ...

Abstract	Abstract Humans are always exposed to the threat of infectious diseases. It has been proven that there is a direct link between the strength or weakness of the immune system and the spread of infectious diseases such as tuberculosis, hepatitis, AIDS, and Covid-19 as soon as the immune system has no the power to fight infections and infectious diseases. Moreover, it has been proven that mathematical modeling is a great tool to accurately describe complex biological phenomena. In the recent literature, we can easily find that these effective tools provide important contributions to our understanding and analysis of such problems such as tumor growth. This is indeed one of the main reasons for the need to study computational models of how the immune system interacts with other factors involved. To this end, in this paper, we present some new approximate solutions to a computational formulation that models the interaction between tumor growth and the immune system with several fractional and fractal operators. The operators used in this model are the Liouville–Caputo, Caputo–Fabrizio, and Atangana–Baleanu–Caputo in both fractional and fractal-fractional senses. The existence and uniqueness of the solution in each of these cases is also verified. To complete our analysis, we include numerous numerical simulations to show the behavior of tumors. These diagrams help us explain mathematical results and better describe related biological concepts. In many cases the approximate results obtained have a chaotic structure, which justifies the complexity of unpredictable and uncontrollable behavior of cancerous tumors. As a result, the newly implemented operators certainly open new research windows in further computational models arising in the modeling of different diseases. It is confirmed that similar problems in the field can be also be modeled by the approaches employed in this paper.
Keywords	Mathematical modeling ; Fractional and fractional-fractal derivatives ; Tumor growth modeling ; The immune system ; Numerical simulations ; Sensitivity analysis ; Mathematics ; QA1-939 ; covid19
Subject code	612
Language	English
Publishing date	2020-10-01T00:00:00Z
Publisher	SpringerOpen
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: On forecasting the spread of the COVID-19 in Iran

Ghanbari, Behzad

Chaos, Solitons & Fractals

The second wave

2020 Volume 140, Page(s) 110176

Keywords	General Mathematics ; covid19
Language	English
Publisher	Elsevier BV
Publishing country	us
Document type	Article ; Online
ZDB-ID	2003919-0
ISSN	1873-2887 ; 0960-0779
ISSN (online)	1873-2887
ISSN	0960-0779
DOI	10.1016/j.chaos.2020.110176
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Article: On forecasting the spread of the COVID-19 in Iran: The second wave

Ghanbari, Behzad

Chaos Solitons Fractals

Abstract	One of the common misconceptions about COVID-19 disease is to assume that we will not see a recurrence after the first wave of the disease has subsided. This completely wrong perception causes people to disregard the necessary protocols and engage in some misbehavior, such as routine socializing or holiday travel. These conditions will put double pressure on the medical staff and endanger the lives of many people around the world. In this research, we are interested in analyzing the existing data to predict the number of infected people in the second wave of out-breaking COVID-19 in Iran. For this purpose, a model is proposed. The mathematical analysis corresponded to the model is also included in this paper. Based on proposed numerical simulations, several scenarios of progress of COVID-19 corresponding to the second wave of the disease in the coming months, will be discussed. We predict that the second wave of will be most severe than the first one. From the results, improving the recovery rate of people with weak immune systems via appropriate medical incentives is resulted as one of the most effective prescriptions to prevent the widespread unbridled outbreak of the second wave of COVID-19.
Keywords	covid19
Publisher	WHO
Document type	Article
Note	WHO #Covidence: #679699
Database	COVID19

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Article ; Online: Health risk assessment and occupational safety at hospitals in Southwest of Iran

Hafez Ajam Ekrami / Behzad Fouladi Dehaghi / Saeed Ghanbari / Nematollah Jaafarzadeh Haghighifard / Mohammad Javad Mohammadi

Clinical Epidemiology and Global Health, Vol 26, Iss , Pp 101515- (2024)

2024

Abstract: Background: /objectives: Risk assessment is very important to reduce the occurrence and spread of preventable accidents in hospitals because they have huge resources of funds related to the health of society, human, financial, physical, and equipment ... ...

Abstract	Background: /objectives: Risk assessment is very important to reduce the occurrence and spread of preventable accidents in hospitals because they have huge resources of funds related to the health of society, human, financial, physical, and equipment capital. This study was done in order to assess the occupational health and safety risks at Mehr and Razi Hospital in Ahvaz. Methods: In this descriptive-cross-sectional study, the HOSHRA method was used at Mehr Private and Razi University of Education Hospital in Ahvaz during 2022. Then, descriptive statistics were used to analyze the results. Results: Based on result of this study in Razi Hospital, the final score of risk is in order from the highest to the lowest related to biological risks > physical risks > chemical risks > ergonomic risks > psychological risks, and in Mehr Hospital, in order from the highest to the lowest related to biological risks > ergonomic risks > psychological risks > risks Physical and chemical hazards were obtained. The findings of the total HOSHRA index for different risks in the two selected hospitals showed that close to each other, but it was slightly higher in Razi Hospital in Ahvaz than in Mehr Hospital. Conclusion: According to the findings study the chemical, ergonomic, psychological, physical, and biological risk assessment results showed that the risk level at Razi Educational and Mehr Private Hospitals is unacceptable and requires fundamental and urgent changes.
Keywords	Health ; Hospital ; Risk assessment ; Occupational safety ; HOSHRA method ; Iran ; Public aspects of medicine ; RA1-1270
Subject code	360
Language	English
Publishing date	2024-03-01T00:00:00Z
Publisher	Elsevier
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Efficient Digital Realization of Endocrine Pancreatic β-Cells.

Ghanbarpour, Milad / Naderi, Ali / Haghiri, Saeed / Ghanbari, Behzad / Ahmadi, Arash

IEEE transactions on biomedical circuits and systems

2023 Volume 17, Issue 2, Page(s) 246–256

Abstract: The accurate implementation of biological neural networks, which is one of the important areas of research in the field of neuromorphic, can be studied in the case of diseases, embedded systems, the study of the function of neurons in the nervous system, ...

Abstract	The accurate implementation of biological neural networks, which is one of the important areas of research in the field of neuromorphic, can be studied in the case of diseases, embedded systems, the study of the function of neurons in the nervous system, and so on. The pancreas is one of the main organs of human that performs important and vital functions in the body. One part of the pancreas is an endocrine gland and produces insulin, while another part is an exocrine gland that produces enzymes for digesting fats, proteins and carbohydrates. In this paper, an optimal digital hardware implementation for pancreatic β-cells, which is the endocrine type, is presented. Since the equations of the original model include nonlinear functions, and the implementation of these functions results in greater use of hardware resources as well as deceleration, to achieve optimal implementation, we have approximated these nonlinear functions using the base-2 functions and LUT. The results of dynamic analysis and simulation show the accuracy of the proposed model compared to the original model. Analysis of the synthesis results of the proposed model on the Spartan-3 XC3S50 (5TQ144) reconfigurable board (FPGA) shows the superiority of the proposed model over the original model. These advantages include using fewer hardware resources, a performance almost twice as fast, and 19% less power consumption, than the original model.
MeSH term(s)	Humans ; Models, Neurological ; Neurons/physiology ; Computer Simulation ; Computers
Language	English
Publishing date	2023-05-10
Publishing country	United States
Document type	Journal Article
ISSN	1940-9990
ISSN (online)	1940-9990
DOI	10.1109/TBCAS.2023.3233985
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