Risk factors for foot and mouth disease outbreaks in grazing beef cattle herds

2015 ◽  
Vol 120 (2) ◽  
pp. 236-240 ◽  
Author(s):  
E. Elnekave ◽  
L. Zamir ◽  
F. Hamd ◽  
B. Even Tov ◽  
E. Klement
Keyword(s):  
Risk Factors ◽  
Beef Cattle ◽  
Disease Outbreaks ◽  
Foot And Mouth Disease ◽  
Mouth Disease ◽  
Foot And Mouth ◽  
Cattle Herds

scholarly journals Failure of vaccination to prevent outbreaks of foot-and-mouth disease

1996 ◽  
Vol 116 (3) ◽  
pp. 363-371 ◽  
Author(s):  
M. E. J. Woolhouse ◽  
D. T. Haydon ◽  
A. Pearson ◽  
R. P. Kitching
Keyword(s):  
Disease Transmission ◽  
Time Course ◽  
Transmission Rate ◽  
Herd Immunity ◽  
Disease Outbreaks ◽  
Foot And Mouth Disease ◽  
Mouth Disease ◽  
Foot And Mouth ◽  
Protective Antibodies ◽  
Cattle Herds

SUMMARYOutbreaks of foot-and-mouth disease persist in dairy cattle herds in Saudi Arabia despite revaccination at intervals of 4–6 months. Vaccine trials provide data on antibody responses following vaccination. Using this information we developed a mathematical model of the decay of protective antibodies with which we estimated the fraction of susceptible animals at a given time after vaccination. The model describes the data well, suggesting over 95% take with an antibody half-life of 43 days. Farm records provided data on the time course of five outbreaks. We applied a ‘SLIR’ epidemiological model to these data, fitting a single parameter representing disease transmission rate. The analysis provides estimates of the basic reproduction number,R0, which may exceed 70 in some cases. We conclude that the critical intervaccination interval which would provide herd immunity against FMDV is unrealistically short, especially for heterologous challenge. We suggest that it may not be possible to prevent foot-and-mouth disease outbreaks on these farms using currently available vaccines.

scholarly journals Herd-level risk factors associated with tuberculosis breakdowns among cattle herds in England before the 2001 foot‐and‐mouth disease epidemic

2005 ◽  
Vol 1 (1) ◽  
pp. 53-56 ◽  
Author(s):  
W. T Johnston ◽  
G Gettinby ◽  
D. R Cox ◽  
C. A Donnelly ◽  
J Bourne ◽  
...  
Keyword(s):  
Risk Factors ◽  
Foot And Mouth Disease ◽  
Mouth Disease ◽  
Herd Level ◽  
Factors Associated ◽  
Foot And Mouth ◽  
Cattle Herds

scholarly journals Epidemiology of Foot-and-Mouth Disease outbreaks in Thailand from 2011 to 2018

2021 ◽  
Author(s):  
Thanicha Chanchaidechachai ◽  
Helmut Saatkamp ◽  
Mart de Jong ◽  
Chaidate Inchaisri ◽  
Henk Hogeveen ◽  
...  
Keyword(s):  
Risk Factors ◽  
High Risk ◽  
Winter Season ◽  
Disease Outbreaks ◽  
Foot And Mouth Disease ◽  
Control Program ◽  
Mouth Disease ◽  
Foot And Mouth ◽  
Central Regions ◽  
Risk Areas

Foot-and-Mouth Disease (FMD) is one of the most important animal diseases hindering livestock production in Thailand. In this study, a temporal and spatial analysis at the subdistrict level was performed on FMD outbreak reports in Thailand from 2011 to 2018. Risk factors associated with FMD outbreaks were investigated using generalised estimating equations. The results showed that the incidence of FMD outbreaks was the highest in 2016 and was affected by season, with a peak in FMD outbreaks occurring in the rainy-winter season. The occurrences of FMD were mostly distributed as a number of small clusters within a few subdistricts. Some high-risk areas with repetitive outbreaks were detected in the central regions. Risk factors significantly associated with FMD outbreaks included the size of the dairy, beef, and pig populations in each subdistrict, the distance to the nearest subdistrict with an outbreak, the percentage of forest area, international border contact, the presence of a livestock market, and the occurrence of an FMD outbreak in a neighbouring subdistrict in the previous month. This study helped to identify high-risk areas and periods of FMD outbreaks in Thailand. Together with the identified risk factors, its results can be used to optimise the FMD control program in Thailand and in other countries having a similar livestock industry and FMD situation.

Farm Community Impacts of Foot-and-Mouth Disease Outbreaks in Cattle and Buffaloes in Karnataka State, India

2015 ◽  
Vol 64 (3) ◽  
pp. 849-860 ◽  
Author(s):  
G. Govindaraj ◽  
B. Ganeshkumar ◽  
K. R. Nethrayini ◽  
R. Shalini ◽  
V. Balamurugan ◽  
...  
Keyword(s):  
Disease Outbreaks ◽  
Foot And Mouth Disease ◽  
Mouth Disease ◽  
Karnataka State ◽  
Foot And Mouth ◽  
Community Impacts ◽  
Farm Community

Risk factors for foot-and-mouth disease in sedentary livestock herds in selected villages in four regions of Bhutan

2011 ◽  
Vol 59 (2) ◽  
pp. 51-58 ◽  
Author(s):  
K Dukpa ◽  
ID Robertson ◽  
JR Edwards ◽  
TM Ellis ◽  
P Tshering ◽  
...  
Keyword(s):  
Risk Factors ◽  
Foot And Mouth Disease ◽  
Mouth Disease ◽  
Foot And Mouth

Assessment of foot-and-mouth disease risk areas in mainland China based spatial multi-criteria decision analysis

2021 ◽  
Author(s):  
Wang Haoran ◽  
Xiao Jianhua ◽  
Ouyang Maolin ◽  
Gao Hongyan ◽  
Bie Jia ◽  
...  
Keyword(s):  
Risk Factors ◽  
Decision Analysis ◽  
Disease Risk ◽  
Mainland China ◽  
Foot And Mouth Disease ◽  
Mouth Disease ◽  
Multi Criteria Decision Analysis ◽  
Foot And Mouth ◽  
Risk Areas ◽  
And Control

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.

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