Prediction and control of brucellosis transmission of dairy cattle in Zhejiang Province, China.
Brucellosis is a bacterial disease caused by brucella; mainly spread by direct contact transmission through the brucella carriers, or indirect contact transmission by the environment containing large quantities of bacteria discharged by the infected individuals. At the beginning of 21st century, the epidemic among dairy cows in Zhejiang province, began to come back and has become a localized prevalent epidemic. Combining the pathology of brucellosis, the reported positive data characteristics, and the feeding method in Zhejiang province, this paper establishes an SEIV dynamic model to excavate the internal transmission dynamics, fit the real disease situation, predict brucellosis tendency and assess control measures in dairy cows. By careful analysis, we give some quantitative results as follows. (1) The external input of dairy cows from northern areas may lead to high fluctuation of the number of the infectious cows in Zhejiang province that can reach several hundreds. In this case, the disease cannot be controlled and the infection situation cannot easily be predicted. Thus, this paper encourages cows farms to insist on self-supplying production of the dairy cows. (2) The effect of transmission rate of brucella in environment to dairy cattle on brucellosis spreading is greater than transmission rate of the infectious dairy cattle to susceptible cattle. The prevalence of the epidemic is mainly aroused by environment transmission. (3) Under certain circumstances, the epidemic will become a periodic phenomenon. (4) For Zhejiang province, besides measures that have already been adopted, sterilization times of the infected regions is suggested as twice a week, and should be combined with management of the birth rate of dairy cows to control brucellosis spread.
School of Mechatronic Engineering, North University of China, Taiyuan, Shan'xi, People's Republic of China; Complex Systems Research Center, Shanxi University, Taiyuan, Shan'xi, People's Republic of China.
Juan
J
Zhang
Complex Systems Research Center, Shanxi University, Taiyuan, Shan'xi, People's Republic of China; School of Mathematical Science, Fudan University, Shanghai, People's Republic of China.
Gui-Quan
GQ
Sun
The Laboratory of Animal Epidemiological Surveillance, China Animal Health & Epidemiology Center, Qingdao, Shandong, People's Republic of China.
Xiang-Dong
XD
Sun
Department of Mathematics, North University of China, Taiyuan, Shan'xi, People's Republic of China.
Qiang
Q
Hou
Complex Systems Research Center, Shanxi University, Taiyuan, Shan'xi, People's Republic of China.
Mingtao
M
Li
The Laboratory of Animal Epidemiological Surveillance, China Animal Health & Epidemiology Center, Qingdao, Shandong, People's Republic of China.
Baoxu
B
Huang
School of Mathematical & Natural Sciences, Arizona State University, Phoenix, AZ, United States of America.
Haiyan
H
Wang
Complex Systems Research Center, Shanxi University, Taiyuan, Shan'xi, People's Republic of China.
Zhen
Z
Jin
D000818:Animals; D002002:Brucella / Q000302:isolation & purification / Q000472:pathogenicity; D002007:Brucellosis, Bovine / Q000453:epidemiology* / Q000635:transmission*; D002417:Cattle / Q000382:microbiology; D002681:China / Q000453:epidemiology; D003612:Dairying; D058872:Epidemics / Q000706:statistics & numerical data*; D005260:Female; D005544:Forecasting / Q000379:methods*; D008892:Milk / Q000382:microbiology; D015995:Prevalence