Modeling the Impact of Seasonal Weather Variations on the Infectiology of Brucellosis-Reference-Cited by-同舟云学术

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

Published:2020-10-17 Issue: Volume:2020 Page:1-19
ISSN:1748-6718
Container-title:Computational and Mathematical Methods in Medicine
language:en
Short-container-title:Computational and Mathematical Methods in Medicine

Author:

Nyerere Nkuba¹²^ORCID,Luboobi Livingstone S.³,Mpeshe Saul C.⁴,Shirima Gabriel M.⁵

Affiliation:

1. Department of Applied Mathematics and Computational Sciences, Nelson Mandela African Institution of Science and Technology, P.O. Box 447, Arusha, Tanzania

2. Department of Mathematics, Informatics and Computational Sciences, Sokoine University of Agriculture, P.O. Box 3038, Morogoro, Tanzania

3. Institute of Mathematical Sciences, Strathmore University, P.O. Box 59857-00200, Nairobi, Kenya

4. Department of Mathematics, University of Iringa, P.O. Box 200, Iringa, Tanzania

5. Department of Global Health and Bio-Medical Sciences, Nelson Mandela African Institution of Science and Technology, P.O. Box 447, Arusha, Tanzania

Abstract

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.

Publisher

Hindawi Limited

Subject

Applied Mathematics,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,Modeling and Simulation,General Medicine

Link

http://downloads.hindawi.com/journals/cmmm/2020/8972063.pdf

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