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Modeling the Impact of Seasonal Weather Variations on the Infectiology of Brucellosis.
Nyerere, Nkuba; Luboobi, Livingstone S; Mpeshe, Saul C; Shirima, Gabriel M.
Afiliación
  • Nyerere N; Department of Applied Mathematics and Computational Sciences, Nelson Mandela African Institution of Science and Technology, P.O. Box 447, Arusha, Tanzania.
  • Luboobi LS; Department of Mathematics, Informatics and Computational Sciences, Sokoine University of Agriculture, P.O. Box 3038, Morogoro, Tanzania.
  • Mpeshe SC; Institute of Mathematical Sciences, Strathmore University, P.O. Box 59857-00200, Nairobi, Kenya.
  • Shirima GM; Department of Mathematics, University of Iringa, P.O. Box 200, Iringa, Tanzania.
Comput Math Methods Med ; 2020: 8972063, 2020.
Article en En | MEDLINE | ID: mdl-33123216
A deterministic mathematical model for brucellosis that incorporates seasonality on direct and indirect transmission parameters for domestic ruminants, wild animals, humans, and the environment was formulated and analyzed in this paper. Both analytical and numerical simulations are presented. From this study, the findings show that variations in seasonal weather have the great impact on the transmission dynamics of brucellosis in humans, livestock, and wild animals. Thus, in order for the disease to be controlled or eliminated, measures should be timely implemented upon the fluctuation in the transmission of the disease.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Brucelosis / Zoonosis Bacterianas / Modelos Biológicos Tipo de estudio: Prognostic_studies Límite: Animals / Female / Humans / Male Idioma: En Revista: Comput Math Methods Med Asunto de la revista: INFORMATICA MEDICA Año: 2020 Tipo del documento: Article País de afiliación: Tanzania Pais de publicación: Estados Unidos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Brucelosis / Zoonosis Bacterianas / Modelos Biológicos Tipo de estudio: Prognostic_studies Límite: Animals / Female / Humans / Male Idioma: En Revista: Comput Math Methods Med Asunto de la revista: INFORMATICA MEDICA Año: 2020 Tipo del documento: Article País de afiliación: Tanzania Pais de publicación: Estados Unidos