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Modeling the Impact of Seasonal Weather Variations on the Infectiology of Brucellosis

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 t...

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Detalles Bibliográficos
Autores principales: Nyerere, Nkuba, Luboobi, Livingstone S., Mpeshe, Saul C., Shirima, Gabriel M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7586161/
https://www.ncbi.nlm.nih.gov/pubmed/33123216
http://dx.doi.org/10.1155/2020/8972063
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author Nyerere, Nkuba
Luboobi, Livingstone S.
Mpeshe, Saul C.
Shirima, Gabriel M.
author_facet Nyerere, Nkuba
Luboobi, Livingstone S.
Mpeshe, Saul C.
Shirima, Gabriel M.
author_sort Nyerere, Nkuba
collection PubMed
description 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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spelling pubmed-75861612020-10-28 Modeling the Impact of Seasonal Weather Variations on the Infectiology of Brucellosis Nyerere, Nkuba Luboobi, Livingstone S. Mpeshe, Saul C. Shirima, Gabriel M. Comput Math Methods Med Research Article 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. Hindawi 2020-10-17 /pmc/articles/PMC7586161/ /pubmed/33123216 http://dx.doi.org/10.1155/2020/8972063 Text en Copyright © 2020 Nkuba Nyerere et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Nyerere, Nkuba
Luboobi, Livingstone S.
Mpeshe, Saul C.
Shirima, Gabriel M.
Modeling the Impact of Seasonal Weather Variations on the Infectiology of Brucellosis
title Modeling the Impact of Seasonal Weather Variations on the Infectiology of Brucellosis
title_full Modeling the Impact of Seasonal Weather Variations on the Infectiology of Brucellosis
title_fullStr Modeling the Impact of Seasonal Weather Variations on the Infectiology of Brucellosis
title_full_unstemmed Modeling the Impact of Seasonal Weather Variations on the Infectiology of Brucellosis
title_short Modeling the Impact of Seasonal Weather Variations on the Infectiology of Brucellosis
title_sort modeling the impact of seasonal weather variations on the infectiology of brucellosis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7586161/
https://www.ncbi.nlm.nih.gov/pubmed/33123216
http://dx.doi.org/10.1155/2020/8972063
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