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dc.contributor.authorNyerere, Nkuba
dc.contributor.authorLuboobi, Livingstone
dc.contributor.authorMpeshe, Saul
dc.contributor.authorShirima, Gabriel
dc.date.accessioned2021-09-23T12:41:54Z
dc.date.available2021-09-23T12:41:54Z
dc.date.issued2020-10-17
dc.identifier.urihttps://doi.org/10.1155/2020/8972063
dc.identifier.urihttps://dspace.nm-aist.ac.tz/handle/20.500.12479/1336
dc.descriptionThis research article published by Hindawi, 2020en_US
dc.description.abstractA 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.en_US
dc.language.isoenen_US
dc.publisherHindawien_US
dc.subjectResearch Subject Categories::TECHNOLOGYen_US
dc.titleModeling the Impact of Seasonal Weather Variations on the Infectiology of Brucellosisen_US
dc.typeArticleen_US


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