Issue |
BIO Web Conf.
Volume 27, 2020
International Scientific-Practical Conference “Agriculture and Food Security: Technology, Innovation, Markets, Human Resources” (FIES 2020)
|
|
---|---|---|
Article Number | 00047 | |
Number of page(s) | 6 | |
DOI | https://doi.org/10.1051/bioconf/20202700047 | |
Published online | 25 November 2020 |
Optimization of the staff number of veterinary specialists of the State Veterinary Service of the subjects of the Russian Federation
Kazan State Academy of Veterinary Medicine named after N. E. Bauman, Kazan, 420029, Russia
* Corresponding author: mnvasiliev@mail.ru
The staff number of veterinary institutions of the State Veterinary Service of the RSFSR was organised in 1963. It changed and improved many times. In the Russian Federation, it has been significantly reduced, the most significant losses in the number of staff veterinary specialists of the State Veterinary Service of the Russian Federation suffered in 2004, and in the subsequent years, it was partially restored. Despite the measures taken, it does not meet modern requirements for ensuring the veterinary welfare of livestock and other industries. The authors attempt to develop an optimal organizational structure and the staff number of the State Veterinary Service of the Republic of Sakha (Yakutia). The available number of veterinarians and paramedics in this Republic is 66.7 % of the science-based requirement. To organise an optimal structure of the State Veterinary Service of the region, it is necessary to employ an additional 475 veterinary doctors and 232 veterinary paramedics.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.