Stability and control in a stochastic model of malaria population dynamics
This article proves a stability theorem for the disease-free equilibrium of a stochastic differential equations model of malaria disease dynamics. The theorem is formulated in terms of an invariant which is similar to the basic reproduction number of a related deterministic model. Compared to the de...
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Published in | Advances in continuous and discrete models Vol. 2023; no. 1; p. 45 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
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Cham
Springer International Publishing
15.11.2023
Springer Nature B.V |
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ISSN | 2731-4235 1687-1839 2731-4235 1687-1847 |
DOI | 10.1186/s13662-023-03791-3 |
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Abstract | This article proves a stability theorem for the disease-free equilibrium of a stochastic differential equations model of malaria disease dynamics. The theorem is formulated in terms of an invariant which is similar to the basic reproduction number of a related deterministic model. Compared to the deterministic model, stability of the disease-free equilibrium holds more generally for the stochastic model. The optimal control theory is applied to the stochastic model, revealing some important new insights. Theoretical results are illustrated by way of simulations. |
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AbstractList | This article proves a stability theorem for the disease-free equilibrium of a stochastic differential equations model of malaria disease dynamics. The theorem is formulated in terms of an invariant which is similar to the basic reproduction number of a related deterministic model. Compared to the deterministic model, stability of the disease-free equilibrium holds more generally for the stochastic model. The optimal control theory is applied to the stochastic model, revealing some important new insights. Theoretical results are illustrated by way of simulations. |
ArticleNumber | 45 |
Author | Maku Vyambwera, Sibaliwe Witbooi, Peter J. Muller, Grant E. van Schalkwyk, Garth J. |
Author_xml | – sequence: 1 givenname: Peter J. orcidid: 0000-0003-1304-0282 surname: Witbooi fullname: Witbooi, Peter J. email: pwitbooi@uwc.ac.za organization: University of the Western Cape – sequence: 2 givenname: Sibaliwe surname: Maku Vyambwera fullname: Maku Vyambwera, Sibaliwe organization: University of the Western Cape – sequence: 3 givenname: Garth J. surname: van Schalkwyk fullname: van Schalkwyk, Garth J. organization: University of the Western Cape – sequence: 4 givenname: Grant E. surname: Muller fullname: Muller, Grant E. organization: University of the Western Cape |
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Cites_doi | 10.1186/s13662-017-1166-6 10.1155/2015/271654 10.1080/10255842.2022.2050222 10.1186/s13662-020-02803-w 10.1007/s12591-020-00538-4 10.3934/dcdss.2021116 10.1016/j.jfranklin.2018.10.003 10.1155/2022/5924549 10.1007/s41478-020-00276-4 10.1016/j.physa.2018.12.030 10.1155/2016/8013574 10.1142/S1793524517500553 10.1155/2012/946504 10.1016/j.apm.2011.11.087 10.1186/s13662-019-2424-6 10.1155/2018/3420528 |
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Keywords | SDE model Basic reproduction number 92D30 Malaria Elimination 34H05 Exponential stability 34K20 |
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Snippet | This article proves a stability theorem for the disease-free equilibrium of a stochastic differential equations model of malaria disease dynamics. The theorem... |
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SubjectTerms | Analysis Birth rate Control stability Control theory Dengue fever Difference and Functional Equations Differential equations Dynamic stability Equilibrium Functional Analysis Infections Malaria Mathematics Mathematics and Statistics Mortality Mosquitoes Optimal control Ordinary Differential Equations Partial Differential Equations Pathogens Per capita Stochastic models Theorems Tropical diseases |
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Title | Stability and control in a stochastic model of malaria population dynamics |
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