ارزیابی اپیدمیولوژیکی بیماری بروسلوز دامی در شهرستان بروجن طی سالهای 4933-4931

Epidemiological surveillance of livestock brucellosis in Borujen County during 2010 - 2016.

Brucellosis is one of the most important and common zoonotic diseases in the world. Control of brucellosis in animal leads to considerable reduction in human disease. An epidemiological survey of livestock brucellosis was carried out from 2010 to 2016 in Borujen County. The data related to screening and supplementary tests and livestock vaccination based on the year and type of livestock (cattle, sheep and goats) were obtained from the animal disease control department of Veterinary office of Chaharmahal and Bakhtiari province. Data were analyzed with descriptive statistics. Total of 21950 cases of cattle, 35000 sheep and 1300 goats were investigated for brucellosis during 2010-2016, which 161 (0.73%), 2 (0.0006%) and 2 (0.15%) of the samples were infected. The highest rate of brucellosis contamination in livestock population of Borujen County was in 2013 with 55 cases of cattle. Over the 7 years, 14033 cases of cattle (93.08%), 8362 cases of calves (75.02%), 388659 cases of sheep and goats (87.22%) and 306500 cases of lambs and kids (88.4%) were vaccinated. The highest (96.6%) and lowest (14.5%) rate of vaccination against brucellosis was in cattle and calves in 2013, respectively. In general, the highest (17.92) percent of vaccinations was for 2014 and the lowest (73.5%) was for 2013. According to the results of the survey and the decreasing trend in the prevalence of brucellosis in the cattle, sheep and goat's population during the years 2010-2016, and the increasing trend of vaccination of livestock against brucellosis, the vaccination program could be more focused to controlling the disease. [ABSTRACT FROM AUTHOR]

Copyright of Iranian Journal of Veterinary Clinical Sciences is the property of Iranian Journal of Veterinary Clinical Sciences and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)