Strategic challenges to global control of African swine fever

2019 ◽  
Author(s):  
B. PLAVSIK ◽  
A. ROZSTALNYY ◽  
J.Y. PARK ◽  
V. GUBERTI ◽  
K. DEPNER ◽  
...  
2021 ◽  
Author(s):  
◽  

The current African swine fever epizootic is a major global crisis, directly and indirectly impacting the pig industry and rural communities worldwide. In 2019, FAO and the OIE designated ASF as a global priority transboundary animal disease under the GF-TADs, and in July 2020 they released a jointly developed programme to control the disease worldwide – ‘Global Control of African Swine Fever: A GF-TADs Initiative’ (The Global Initiative). In 2020, ASF virus continued to spread and the COVID-19 pandemic impacted field activities. However, global, regional and national stakeholders strove to maintain momentum in the control of ASF, in line with the objectives of the Global Initiative. Despite difficulties, some countries managed to eliminate the disease from their territories, indicating that ASF control is feasible with current tools. The Global Initiative identifies coordination at regional and global levels as key to enhancing national control programmes. It allows countries with similar socio-economic and epidemiological situations to share information, challenges and best practices, and to discuss regional solutions and approaches to enhancing control.


2020 ◽  
Vol 23 (04) ◽  
pp. 21-26
Author(s):  
A.K. Sibgatullova ◽  
◽  
M.E. Vlasov ◽  
I.A. Titov ◽  
◽  
...  

1990 ◽  
Vol 64 (5) ◽  
pp. 2064-2072 ◽  
Author(s):  
J M Almendral ◽  
F Almazán ◽  
R Blasco ◽  
E Viñuela

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Jianying Yuan ◽  
Qiong Wang ◽  
Xiaoliang Jiang ◽  
Bailin Li

The multiview 3D data registration precision will decrease with the increasing number of registrations when measuring a large scale object using structured light scanning. In this paper, we propose a high-precision registration method based on multiple view geometry theory in order to solve this problem. First, a multiview network is constructed during the scanning process. The bundle adjustment method from digital close range photogrammetry is used to optimize the multiview network to obtain high-precision global control points. After that, the 3D data under each local coordinate of each scan are registered with the global control points. The method overcomes the error accumulation in the traditional registration process and reduces the time consumption of the following 3D data global optimization. The multiview 3D scan registration precision and efficiency are increased. Experiments verify the effectiveness of the proposed algorithm.


Food Policy ◽  
2021 ◽  
pp. 102065
Author(s):  
Meilin Ma ◽  
H. Holly Wang ◽  
Yizhou Hua ◽  
Fei Qin ◽  
Jing Yang

2021 ◽  
pp. 105081
Author(s):  
Zhao Huang ◽  
Lang Gong ◽  
Zezhong Zheng ◽  
Qi Gao ◽  
Xiongnan Chen ◽  
...  

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