Modelling the role of multi-transmission routes in the epidemiology of bovine tuberculosis in cattle and buffalo populations

Patrick B. Phepa; Faraimunashe Chirove; Keshlan S. Govinder

doi:10.1016/j.mbs.2016.04.003

Modelling the role of multi-transmission routes in the epidemiology of bovine tuberculosis in cattle and buffalo populations

Patrick B. Phepa, Faraimunashe Chirove, Keshlan S. Govinder

University of KwaZulu-Natal

Research output: Contribution to journal › Article › peer-review

13 Citations (Scopus)

Abstract

A mathematical model that describes the transmission dynamics of bovine tuberculosis (BTB) in both buffalo and cattle populations is proposed. The model incorporates cross-infection and contaminated environment transmission routes. A full analysis of the model is undertaken. The reproduction number of the entire model is comprised of cross-infection and contaminated parameters. This underscores the importance of including both cross-infection and contaminated environment transmission routes. Crucially our simulations suggest that the disease has a more devastating effect on cattle populations than on buffalo populations when all transmission routes are involved. This has important implications for agriculture and tourism.

Original language	English
Pages (from-to)	47-58
Number of pages	12
Journal	Mathematical Biosciences
Volume	277
DOIs	https://doi.org/10.1016/j.mbs.2016.04.003
Publication status	Published - 1 Jul 2016
Externally published	Yes

Keywords

Buffalo
Cattle
Cross-infection
Environment
Mathematical modelling
Mycobacterium bovis

ASJC Scopus subject areas

Statistics and Probability
Modeling and Simulation
General Biochemistry,Genetics and Molecular Biology
General Immunology and Microbiology
General Agricultural and Biological Sciences
Applied Mathematics

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.mbs.2016.04.003

Cite this

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title = "Modelling the role of multi-transmission routes in the epidemiology of bovine tuberculosis in cattle and buffalo populations",

abstract = "A mathematical model that describes the transmission dynamics of bovine tuberculosis (BTB) in both buffalo and cattle populations is proposed. The model incorporates cross-infection and contaminated environment transmission routes. A full analysis of the model is undertaken. The reproduction number of the entire model is comprised of cross-infection and contaminated parameters. This underscores the importance of including both cross-infection and contaminated environment transmission routes. Crucially our simulations suggest that the disease has a more devastating effect on cattle populations than on buffalo populations when all transmission routes are involved. This has important implications for agriculture and tourism.",

keywords = "Buffalo, Cattle, Cross-infection, Environment, Mathematical modelling, Mycobacterium bovis",

author = "Phepa, \{Patrick B.\} and Faraimunashe Chirove and Govinder, \{Keshlan S.\}",

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doi = "10.1016/j.mbs.2016.04.003",

language = "English",

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journal = "Mathematical Biosciences",

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AU - Phepa, Patrick B.

AU - Chirove, Faraimunashe

AU - Govinder, Keshlan S.

PY - 2016/7/1

Y1 - 2016/7/1

N2 - A mathematical model that describes the transmission dynamics of bovine tuberculosis (BTB) in both buffalo and cattle populations is proposed. The model incorporates cross-infection and contaminated environment transmission routes. A full analysis of the model is undertaken. The reproduction number of the entire model is comprised of cross-infection and contaminated parameters. This underscores the importance of including both cross-infection and contaminated environment transmission routes. Crucially our simulations suggest that the disease has a more devastating effect on cattle populations than on buffalo populations when all transmission routes are involved. This has important implications for agriculture and tourism.

AB - A mathematical model that describes the transmission dynamics of bovine tuberculosis (BTB) in both buffalo and cattle populations is proposed. The model incorporates cross-infection and contaminated environment transmission routes. A full analysis of the model is undertaken. The reproduction number of the entire model is comprised of cross-infection and contaminated parameters. This underscores the importance of including both cross-infection and contaminated environment transmission routes. Crucially our simulations suggest that the disease has a more devastating effect on cattle populations than on buffalo populations when all transmission routes are involved. This has important implications for agriculture and tourism.

KW - Buffalo

KW - Cattle

KW - Cross-infection

KW - Environment

KW - Mathematical modelling

KW - Mycobacterium bovis

UR - https://www.scopus.com/pages/publications/84968834213

U2 - 10.1016/j.mbs.2016.04.003

DO - 10.1016/j.mbs.2016.04.003

M3 - Article

C2 - 27105864

AN - SCOPUS:84968834213

SN - 0025-5564

VL - 277

SP - 47

EP - 58

JO - Mathematical Biosciences

JF - Mathematical Biosciences

ER -

Modelling the role of multi-transmission routes in the epidemiology of bovine tuberculosis in cattle and buffalo populations

Abstract

Keywords

ASJC Scopus subject areas

UN SDGs

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