Study on seroprevalence, risk factors, and economic impact of foot-and-mouth disease in Borena pastoral and agro-pastoral system, southern Ethiopia

2011 ◽  
Vol 43 (4) ◽  
pp. 759-766 ◽  
Author(s):  
Berecha Bayissa ◽  
Gelagay Ayelet ◽  
Moses Kyule ◽  
Yasmin Jibril ◽  
Esayas Gelaye
2011 ◽  
Vol 59 (2) ◽  
pp. 51-58 ◽  
Author(s):  
K Dukpa ◽  
ID Robertson ◽  
JR Edwards ◽  
TM Ellis ◽  
P Tshering ◽  
...  

2014 ◽  
Author(s):  

This socio-economic impact study on foot and mouth disease (FMD) in Cambodia is part of the regional initiative funded by AusAID called Stop Transboundary Animal Diseases and Zoonoses (STANDZ), which is coordinated by OIE SRR-SEA.


2021 ◽  
Author(s):  
Wang Haoran ◽  
Xiao Jianhua ◽  
Ouyang Maolin ◽  
Gao Hongyan ◽  
Bie Jia ◽  
...  

Abstract Background Foot-and-mouth disease (FMD) is a highly contagious viral disease of cloven-hoofed animals. As a transboundary animal disease, the prevention and control of FMD are important. This study was based on spatial multi-criteria decision analysis (MCDA) to assess FMD risk areas in mainland China. Ten risk factors were identified for constructing risk maps by scoring, and the analytic hierarchy process (AHP) was used to calculate the criteria weights of all factors. Different risk factors had different units and attributes, and fuzzy membership was used to standardize the risk factors. The weighted linear combination (WLC) and one-at-a-time (OAT) were used to obtain risk and uncertainty maps as well as to perform sensitivity analysis. Results Four major risk areas were identified in mainland China, including western (Xinjiang and Tibet), southern (Yunnan, Guizhou, Guangxi and Guangdong), northern (Gansu, Ningxia and Inner Mongolia), and eastern (Hebei, Henan, Anhui, Jiangsu and Shandong). We found spring as the main season for FMD outbreaks. Risk areas were associated with the distance to previous outbreak points, grazing areas and cattle density. Receiver operating characteristic (ROC) analysis indicated that the risk map had good predictive power (AUC = 0.8532). Conclusions These results can be used to delineate FMD risk areas in mainland China, and provinces can adopt the targeted preventive measures and control strategies.


2015 ◽  
Vol 47 (7) ◽  
pp. 453-457 ◽  
Author(s):  
Chunlan Song ◽  
Cheng Yibing ◽  
Yanjun Guo ◽  
Zhipeng Jin ◽  
Yajie Cui ◽  
...  

Data in Brief ◽  
2020 ◽  
Vol 28 ◽  
pp. 104843
Author(s):  
Md. Shahidur Rahman Chowdhury ◽  
Md. Irtija Ahsan ◽  
Md. Jamal Khan ◽  
Md. Mahfujur Rahman ◽  
Md. Mukter Hossain ◽  
...  

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