Animal-level risk factors associated with foot-and-mouth disease in cattle and buffalo in Egypt

2018 ◽  
Vol 27 (6) ◽  
pp. 1675-1679
Author(s):  
Magdy Elgioushy ◽  
Mohamed Abdo Rizk ◽  
Shimaa Abd El-Salam El-Sayed ◽  
Ehab M. El-Nahas
2005 ◽  
Vol 1 (1) ◽  
pp. 53-56 ◽  
Author(s):  
W. T Johnston ◽  
G Gettinby ◽  
D. R Cox ◽  
C. A Donnelly ◽  
J Bourne ◽  
...  

2021 ◽  
Vol 21 (2) ◽  
pp. 315-320
Author(s):  
Wan Mohd Zahiruddin Wan Mohamad ◽  
Nur Akmal Ismail ◽  
Nik Mohd Hafiz Mohd Fuzi

Hand, foot and mouth disease (HFMD) outbreak is a contagious illness and typically occur in the children of less than five years old. The was a marked rise in the number of HFMD outbreak cases was observed in Kelantan, a north-eastern State of Malaysia in 2018. This study aimed to determine risk factors for HFMD outbreak cases to inform potential strategies for prevention and control to reduce the occurrence of outbreak in the population. The data of HFMD cases was collected from Communicable Disease Control Information System (CDCIS) e-Notifikasi, managed by the Disease Control Division, Ministry of Health Malaysia for 2018. Totally, 1026 HFMD data cases were retrieved in the descriptive study. Of the total cases, a comparative cross-sectional analysis was performed on 70 HFMD outbreak cases and 198 non-outbreak cases using simple random sampling. Multiple logistic regression test was done to identify factors associated with HFMD outbreak cases among the children aged under five years old. Home-care (aOR 0.008; 95% CI: 0.001, 0.067, p-value<0.001), attendance to the kindergarten (aOR 0.330; 95% CI: 0.114, 0.957, p-value=0.041) and warm season (aOR 0.154; 95% CI: 0.043, 0.557, p-value=0.004) were found to have a significant association to lower the risk for HFMD outbreak cases in the study. This study was able to identify few significant factors associated with the HFMD outbreak which should be considered by the stakeholders. Further research to evaluate the epidemiology of the HFMD outbreak in Malaysia are needed.


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 ◽  
...  

2010 ◽  
Vol 42 (7) ◽  
pp. 1441-1449 ◽  
Author(s):  
Bimal K. Chhetri ◽  
Andres M. Perez ◽  
Mark C. Thurmond

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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