Um modelo matemático para a doença da Babesiose Bovina e população de carrapatos usando derivadas fracionárias

• Ano de defesa: 2015
• Autor(a) principal: Cardoso, Lislaine Cristina
• Orientador(a): Santos, José Paulo Carvalho Dos
• Banca de defesa: Toledo, Maria Do Carmo Pacheco De, Lemes, Nelson Henrique Teixeira
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal de Alfenas
• Programa de Pós-Graduação: Programa de Pós-Graduação em Estatística Aplicada e Biometria
• Departamento: Instituto de Ciências Exatas
• País: Brasil
• Palavras-chave em Português: Epidemiologia; Equações diferenciais ordinárias; Cálculo fracionário
• Área do conhecimento CNPq: CIENCIAS AGRARIAS
• Link de acesso: https://repositorio.unifal-mg.edu.br/handle/123456789/776

The bovine culture is one of the main branches of Brazilian agribusiness taking up the lead in this sector since 2004. As any other segment, livestock also suffers losses financial, since the bovines may be affected by various diseases such as: FMD, Brucellosis, Sadness Parasitary Bovine (TPB), this being the most frequent. The Bovine Babesiosis belongs to thedisease complex known Bovine Parasitary Sadness (TPB). It is caused by the protozoan Babesia and is transmitted by tick bites R. Microplus as a vector of bovines. the principal symptoms are fever, diarrhea, anemia, weakness, and abortions. An additional analysis is necessary to generate new programs and policies for prevention and control of disease. To advance this sense, we study a mathematical model, found in the literature, for Babesiosis disease. This model is based on the in strategy compartmented models, where the interaction between the populations bovines and ticks are considered in the modeling process. The result is a system of nonlinear differential equations that describes the dynamic of the transmission of the disease Babesiosis. The main purpose of work was to write a new model that generalizes the model previous to Babesiosis using derived from non-integer order of Caputo. The main focus was the study of local and global stability of equilibrium points Free disease and Endemic equilibrium points to the new model.