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Stability analysis of a metapopulation model for the dynamics of malaria's spread including climatic factors.
Noubissi, Justin-Hervé; Kamgang, Jean Claude.
Afiliación
  • Noubissi JH; Mathematics and Computer Science Department, University of Ngaoundere, Ngaoundere, 455, Cameroon.
  • Kamgang JC; Mathematics and Computer Science Department, University of Ngaoundere, Ngaoundere, 455, Cameroon.
Heliyon ; 10(11): e31666, 2024 Jun 15.
Article en En | MEDLINE | ID: mdl-38845931
ABSTRACT
Eradicating malaria remains a big challenge for computer scientists, mathematicians, epidemiologists, entomologists, physicians and many others. Their approaches range from recovering patients to eradicating the disease. However, collaboration, not always efficient between all these scientists, leads to the implementation of incomplete prototypes or to an under-exploitation of their results. Environmental and climatic factors are part of these elements that are usually omitted by computer scientists and mathematicians in the modelling of the malaria spread dynamic. Tropical countries, most affected by the disease are also mostly underdeveloped or developing countries, and therefore, statistical data are often lacking or difficult to access. Populations are constantly in motion over ecosystems with different environmental and climatic conditions, from a region to another. In this paper, we analyse the global asymptotic stability at the disease-free equilibrium of a metapopulation model including climatic factors.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Heliyon Año: 2024 Tipo del documento: Article País de afiliación: Camerún Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Heliyon Año: 2024 Tipo del documento: Article País de afiliación: Camerún Pais de publicación: Reino Unido