Banca de DEFESA: LUIZ FELIPE CRISPIM LOURENÇO

Uma banca de DEFESA de MESTRADO foi cadastrada pelo programa.
STUDENT : LUIZ FELIPE CRISPIM LOURENÇO
DATE: 13/07/2022
TIME: 15:00
LOCAL: Web Conferência - Google Meet - https://meet.google.com/jsw-wjaz-ooh.
TITLE:

Spatial Distribution of Bovine Tuberculosis in Santa Catarina, Brazil.

KEY WORDS:

Relative Risk, Mycobacterium bovis, mapping, surveillance.

PAGES: 45
BIG AREA: Ciências Agrárias
AREA: Medicina Veterinária
SUMMARY:

Bovine tuberculosis is a bacterial disease caused by Mycobacterium bovis, among its characteristics there is the complex detection, the large cattle production losses and the human health risks. Since 2017, Santa Catarina State made the decision to eradicate the disease through improvement of surveillance and the “test and cull” policy in all farms detected as positive. This work has as goal to measure the relative risk of detection of bovine tuberculosis in Santa Catarina State between the years of 2019 and 2021 and analyze the relationship with the active surveillance. Data used was mined from the database of Sigen+ system from CIDASC – Companhia Integrada de Desenvolvimentro Agrícola de Santa Catarina. The cattle farms were stratified accordingly Veloso et al (2012) and a standardized detection rate (SDR) was calculated which was smoothed by a spatial model that account for spatial dependency using INLA Package from R software. The resulting relative risk classified the counties in less or equal to 1, where the number of outbreaks detected was less then the outbreaks expected and more than 1, where the number of outbreaks detected was more than the outbreaks expected. An odds ratio was calculated to verify the relationship between counties of the first and second group with the active surveillance. Among the 129 counties that detected outbreaks in the period, 65 showed relative risk of detection higher than expected. The odds ratio to counties that showed outbreaks detected by the active surveillance and had relative risk higher than 1 was 27,5. As conclusion, the policy of tests based on farms with higher probability of being positive is essential to detection, but the active surveillance is important to detect outbreaks in farms that don’t have risk factors.

BANKING MEMBERS:
Externo à Instituição - JOSÉ HENRIQUE DE HILDEBRAND E GRISI FILHO - USP
Presidente - 2017813 - RICARDO EVANDRO MENDES
Externo à Instituição - RONALDO MICHEL BIANCHI