Modeling the transmission dynamics of bovine tuberculosis with control parameters
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NM-AIST
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A Dissertation Submitted in Partial Fulfillment of the Requirements for the Degree of
Master’s in Mathematical and Computer Sciences and Engineering of the Nelson
Mandela African Institution of Science and Technology
Bovine tuberculosis (bTB) is a bacterial and zoonotic disease which is transmitted through; consumption of unpasteurized milk, raw meat and inhalation of aerosols. This study used a deterministic mathematical model to assess the impact of each parameter in the transmission of bTB. The basic reproduction number R computed to determine the behaviour of the disease. The disease-free equilibrium exists and is locally asymptotically stable when R 0 < 1, and it is unstable otherwise. However, there is a possibility for the diseases free equilibrium to coexist with endemic equilibrium when R = 1. The parameters which drive the dynamics of bTB computed and sensitivity analysis performed. The analysis shows that the basic reproduction number R 0 0 increases proportionally as the most positive sensitive parameters are increases. However, the rate of animal deaths due to the disease mortality, the rate of natural animal deaths and the rate of leaking for unused dairy products are conversely proportional to the basic reproduction number R . Numerical analysis performed to analyse how sensitive each parameter is to the disease. Results show that bTB will increase when we increase rates of consuming dairy products and contacts with infected humans and animals, respectively. The basic model then extended by including control parameters to reduce bTB transmission. The effective reproduction number R e 0 decreases as we increase treatment of infected humans, quarantine of infected animals and inspection of the dairy product. However, the standard requirement of effective reproduction number Re to be less than a unit for the disease to clear is not enough because the model undergoes backward bifurcation when R = 1. Numerical analysis carried out to study the long term behaviour of bTB. Simulations show that when control parameters increase, the number of susceptible humans and animals increases, while the number of infected humans and animals decreases. To contained Bovine tuberculosis, there should be the treatment of infected humans, are quarantine of infected animals and dairy products should be inspected.
Bovine tuberculosis (bTB) is a bacterial and zoonotic disease which is transmitted through; consumption of unpasteurized milk, raw meat and inhalation of aerosols. This study used a deterministic mathematical model to assess the impact of each parameter in the transmission of bTB. The basic reproduction number R computed to determine the behaviour of the disease. The disease-free equilibrium exists and is locally asymptotically stable when R 0 < 1, and it is unstable otherwise. However, there is a possibility for the diseases free equilibrium to coexist with endemic equilibrium when R = 1. The parameters which drive the dynamics of bTB computed and sensitivity analysis performed. The analysis shows that the basic reproduction number R 0 0 increases proportionally as the most positive sensitive parameters are increases. However, the rate of animal deaths due to the disease mortality, the rate of natural animal deaths and the rate of leaking for unused dairy products are conversely proportional to the basic reproduction number R . Numerical analysis performed to analyse how sensitive each parameter is to the disease. Results show that bTB will increase when we increase rates of consuming dairy products and contacts with infected humans and animals, respectively. The basic model then extended by including control parameters to reduce bTB transmission. The effective reproduction number R e 0 decreases as we increase treatment of infected humans, quarantine of infected animals and inspection of the dairy product. However, the standard requirement of effective reproduction number Re to be less than a unit for the disease to clear is not enough because the model undergoes backward bifurcation when R = 1. Numerical analysis carried out to study the long term behaviour of bTB. Simulations show that when control parameters increase, the number of susceptible humans and animals increases, while the number of infected humans and animals decreases. To contained Bovine tuberculosis, there should be the treatment of infected humans, are quarantine of infected animals and dairy products should be inspected.
Keywords
Bovine tuberculosis, Dairy products, Sensitivity analysis, Bifurcation analysis