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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2020
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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. |
format | Online Article Text |
id | pubmed-7586161 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
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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