Geodesic
Reliable numerical modelling of malaria propagation
Applications of Mathematics, Tome 63 (2018) no. 3, pp. 259-271 Cet article a éte moissonné depuis la source Czech Digital Mathematics Library

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We investigate biological processes, particularly the propagation of malaria. Both the continuous and the numerical models on some fixed mesh should preserve the basic qualitative properties of the original phenomenon. Our main goal is to give the conditions for the discrete (numerical) models of the malaria phenomena under which they possess some given qualitative property, namely, to be between zero and one. The conditions which guarantee this requirement are related to the time-discretization step-size. We give a sufficient condition for some explicit methods. For implicit methods we prove that the above property holds unconditionally.
We investigate biological processes, particularly the propagation of malaria. Both the continuous and the numerical models on some fixed mesh should preserve the basic qualitative properties of the original phenomenon. Our main goal is to give the conditions for the discrete (numerical) models of the malaria phenomena under which they possess some given qualitative property, namely, to be between zero and one. The conditions which guarantee this requirement are related to the time-discretization step-size. We give a sufficient condition for some explicit methods. For implicit methods we prove that the above property holds unconditionally.
DOI : 10.21136/AM.2018.0098-18
Classification : 34C60, 35Q92, 65L06, 65M06, 92D30
Keywords: epidemic model; qualitative propertie; non-negativity; finite difference method 
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     title = {Reliable numerical modelling of malaria propagation},
     journal = {Applications of Mathematics},
     pages = {259--271},
     year = {2018},
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     doi = {10.21136/AM.2018.0098-18},
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     language = {en},
     url = {http://geodesic.mathdoc.fr/articles/10.21136/AM.2018.0098-18/}
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Faragó, István; Mincsovics, Miklós Emil; Mosleh, Rahele. Reliable numerical modelling of malaria propagation. Applications of Mathematics, Tome 63 (2018) no. 3, pp. 259-271. doi: 10.21136/AM.2018.0098-18

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