Village level risk factors for foot-and-mouth disease in Northern Thailand

1996 ◽  
Vol 26 (3-4) ◽  
pp. 253-261 ◽  
Author(s):  
Paul C. Cleland ◽  
F.Chris Baldock ◽  
Pornchai Chamnanpood ◽  
Laurence J. Gleeson
2020 ◽  
Vol 7 (3) ◽  
pp. 138
Author(s):  
Chalutwan Sansamur ◽  
Anuwat Wiratsudakul ◽  
Arisara Charoenpanyanet ◽  
Veerasak Punyapornwithaya

Animal movement is one of the most important risk factors for outbreaks of foot and mouth disease (FMD) in cattle. Likewise, FMD can spread to cattle farms via vehicles contaminated with the FMD virus. In Northern Thailand, the movement of manure transport vehicles and the circulation of manure bags among cattle farms are considered as potential risk factors for FMD outbreaks among cattle farms. This study aimed to determine the characteristics and movement patterns of manure tradesman using social network analysis. A structured questionnaire was used to identify sequences of farms routinely visited by each tradesman. A total of 611 participants were interviewed, including 154 beef farmers, 407 dairy farmers, 36 tradesmen, and 14 final purchasers. A static weighted directed one-mode network was constructed, and the network metrics were measured. For the manure tradesman–cattle farmer network, the tradesman possessed the highest value of in- and out-degree centralities (71 and 4), betweenness centralities (114.5), and k-core values (2). These results indicated that the tradesman had a high frequency of farm visits and had a remarkable influence on other persons (nodes) in the network. The movement of vehicles ranged from within local districts, among districts, or even across provinces. Unclean manure plastic bags were circulated among cattle farms. Therefore, both vehicles and the bags may act as a disease fomite. Interestingly, no recording system was implemented for the movement of manure transport vehicles. This study suggested that the relevant authority and stakeholders should be aware of the risk of FMD spreading within this manure trading network. The findings from this study can be used as supporting data that can be used for enhancing FMD control measures, especially for FMD endemic areas.


2011 ◽  
Vol 59 (2) ◽  
pp. 51-58 ◽  
Author(s):  
K Dukpa ◽  
ID Robertson ◽  
JR Edwards ◽  
TM Ellis ◽  
P Tshering ◽  
...  

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 ◽  
...  

2019 ◽  
Vol 50 (1) ◽  
Author(s):  
Dickson Machira Nyaguthii ◽  
Bryony Armson ◽  
Philip Mwanzia Kitala ◽  
Beatriz Sanz-Bernardo ◽  
Antonello Di Nardo ◽  
...  

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