A fractional system of delay differential equation with nonsingular kernels in modeling hand-foot-mouth disease
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 t...
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| Format: | Article |
| Language: | English |
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SpringerOpen
2020-09-01
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| Series: | Advances in Difference Equations |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s13662-020-02993-3 |
| _version_ | 1818555358234279936 |
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| author | Behzad Ghanbari |
| author_facet | Behzad Ghanbari |
| author_sort | Behzad Ghanbari |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-12T09:52:20Z |
| format | Article |
| id | doaj.art-a99af7baaf2247269b20d817ac8b86d7 |
| institution | Directory Open Access Journal |
| issn | 1687-1847 |
| language | English |
| last_indexed | 2024-12-12T09:52:20Z |
| publishDate | 2020-09-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | Advances in Difference Equations |
| spelling | doaj.art-a99af7baaf2247269b20d817ac8b86d72022-12-22T00:28:14ZengSpringerOpenAdvances in Difference Equations1687-18472020-09-012020112010.1186/s13662-020-02993-3A fractional system of delay differential equation with nonsingular kernels in modeling hand-foot-mouth diseaseBehzad Ghanbari0Department of Engineering Science, Kermanshah University of TechnologyAbstract 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.http://link.springer.com/article/10.1186/s13662-020-02993-3Mathematical modeling of infectious diseasesThe Atangana–Baleanu fractional derivativeApproximate solutionsPredictor–corrector schemeFractional delay differential equations |
| spellingShingle | Behzad Ghanbari A fractional system of delay differential equation with nonsingular kernels in modeling hand-foot-mouth disease Advances in Difference Equations Mathematical modeling of infectious diseases The Atangana–Baleanu fractional derivative Approximate solutions Predictor–corrector scheme Fractional delay differential equations |
| title | A fractional system of delay differential equation with nonsingular kernels in modeling hand-foot-mouth disease |
| title_full | A fractional system of delay differential equation with nonsingular kernels in modeling hand-foot-mouth disease |
| title_fullStr | A fractional system of delay differential equation with nonsingular kernels in modeling hand-foot-mouth disease |
| title_full_unstemmed | A fractional system of delay differential equation with nonsingular kernels in modeling hand-foot-mouth disease |
| title_short | A fractional system of delay differential equation with nonsingular kernels in modeling hand-foot-mouth disease |
| title_sort | fractional system of delay differential equation with nonsingular kernels in modeling hand foot mouth disease |
| topic | Mathematical modeling of infectious diseases The Atangana–Baleanu fractional derivative Approximate solutions Predictor–corrector scheme Fractional delay differential equations |
| url | http://link.springer.com/article/10.1186/s13662-020-02993-3 |
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