DISTRIBUIÇÃO E FATORES DE RISCO DE CISTICERCOSE BOVINA EM MATO GROSSO DO SUL DURANTE 2021

• Ano de defesa: 2023
• Autor(a) principal: Lais Fiorese Cavalcante
• Orientador(a): Raquel Soares Juliano
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Fundação Universidade Federal de Mato Grosso do Sul
• País: Brasil
• Palavras-chave em Português: Epidemiologia; georeferenciamento; GLM, GLMM, saúde pública, Taenia saginata
• Link de acesso: https://repositorio.ufms.br/handle/123456789/6472

Bovine cysticercosis is an anthropozoonosis that reflects a serious public health problem, in addition to causing significant damage to the beef chain. Its etiology is the larval stage of Taenia Saginata, called Cysticercus bovis; It is considered endemic in developing countries. The mapping of cases of bovine cysticercosis and the search for risk factors involved with its higher occurrence are essential to validate strategies proposed by the State Program for the Prevention and Control of the Taeniasis Complex – Cysticercosis, created in 2018. This work was prepared with the objective of verify the occurrence of bovine cysticercosis in the state of Mato Grosso do Sul, during 2021, carry out the mapping of these cases and their association with possible risk factors in an attempt to support decision-making in the prevention and control of this disease. To this end, all cases notified to the State Program for the Prevention and Control of the Taeniasis and Cysticercosis Complex, made available by the State Agency for Animal and Vegetal Sanitary Defense – Iagro, were computed. Data were tabulated in Microsoft® Excel 2010 software spreadsheets, and subsequently statistically analyzed with the aid of RStudio software, version for Windows, mapped with QGIS software and grouped using the K-means method in cluster analysis. To verify the interference of risk factors at the city and property levels, a multiple generalized linear regression (GLM) and a mixed multiple generalized linear regression (GLMM) model were used, respectively. Based on the results, it can be concluded that the prevalence of bovine cysticercosis was 0.46% throughout the state, with the Southwest region showing the highest occurrence of the disease. This regional variation can be explained by the presence of risk factors for the occurrence of these infections.