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.
Highlights
Brucellosis is a bacterial zoonosis that causes potential loss of production in livestock and undulant fever in humans in many countries all over the world [1]
The infection is caused by the genus Brucella with B. melitensis, B. suis, and B. abortus being predominant in domestic animals and infecting humans [2,3,4]
A deterministic mathematical model that illustrates the transmission of brucellosis in humans and domestic and wild animals is formulated and analyzed under this section
Summary
Brucellosis is a bacterial zoonosis that causes potential loss of production in livestock and undulant fever in humans in many countries all over the world [1]. Seasonality in transmission dynamics of the disease is attributed to seasonal livestock movements due to the availability of water and grasslands This is the common practice in sub-Saharan Africa countries; for instance, during the dry seasons, 83.1% of the cattle owners in Northern Tanzania move their cattle away from homes for pasture and water needs [25]. This changes the disease dynamics since the concentration of animals is expected near water bodies and wildlife parks and increases the contact rates between susceptible and infected animals. The impacts of seasonal weather parameters on the transmission of brucellosis are studied using a mathematical model
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