The temporal characteristics of the lag-response relationship and related key time points between ambient temperature and hand, foot and mouth disease: A multicity study from mainland China

2020 ◽  
Vol 749 ◽  
pp. 141679
Author(s):  
Xiaowei Yi ◽  
Zhaorui Chang ◽  
Xing Zhao ◽  
Yue Ma ◽  
Fengfeng Liu ◽  
...  
2017 ◽  
Vol 100 ◽  
pp. 102-109 ◽  
Author(s):  
Xiong Xiao ◽  
Antonio Gasparrini ◽  
Jiao Huang ◽  
Qiaohong Liao ◽  
Fengfeng Liu ◽  
...  

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.


2014 ◽  
Vol 14 (11) ◽  
pp. 1041 ◽  
Author(s):  
Qunying Mao ◽  
Yiping Wang ◽  
Zhenglun Liang

2014 ◽  
Vol 14 (11) ◽  
pp. 1042 ◽  
Author(s):  
Gabriel M Leung ◽  
Weijia Xing ◽  
Joseph T Wu ◽  
Hongjie Yu

2022 ◽  
Vol 20 ◽  
pp. 100362
Author(s):  
Zheng Zhao ◽  
Canjun Zheng ◽  
Hongchao Qi ◽  
Yue Chen ◽  
Michael P. Ward ◽  
...  

2021 ◽  
Vol 17 (1) ◽  
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 (parts of Xinjiang and Tibet), southern (parts of Yunnan, Guizhou, Guangxi, Sichuan and Guangdong), northern (parts of Gansu, Ningxia and Inner Mongolia), and eastern (parts of Hebei, Henan, Anhui, Jiangsu and Shandong). Spring is 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=0.8634). Conclusions These results can be used to delineate FMD risk areas in mainland China, and veterinary services can adopt the targeted preventive measures and control strategies.


2015 ◽  
Vol 160 (5) ◽  
pp. 1291-1295 ◽  
Author(s):  
Xin Yao ◽  
Lian-Lian Bian ◽  
Qun-Ying Mao ◽  
Feng-Cai Zhu ◽  
Qiang Ye ◽  
...  

2014 ◽  
Vol 14 (11) ◽  
pp. 1041 ◽  
Author(s):  
Bin Lu ◽  
Huan Guo ◽  
Hongguang Lu

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