In the present study, the outbreak patterns of bovine brucellosis in Korea from 2000 to 2011 were analyzed to understand the epidemiological evolution of this disease in the country. A total of 85,521 brucella reactor animals were identified during 14,215 outbreaks over the 12-year study period. The number of bovine brucellosis cases increased after 2003 and peaked in 2006 before decreasing thereafter. The majority of the bovine brucellosis cases were Korean native cattle, Han Woo. The numbers of human brucellosis cases and cattle outbreaks increased and decreased in the same pattern. The correlation coefficient for human and bovine cases per year was 0.96 (95% confidence interval = 0.86~0.99; p < 10(-3)). The epidemiological characteristics of bovine brucellosis appeared to be affected by the intensity of eradication programs that mainly involved a test-and-slaughter policy. Findings from the present study were based on freely available statistics from web pages maintained by government agencies. This unlimited access to information demonstrates the usefulness of government statistics for continually monitoring the health of animal populations.
Animals ; Brucellosis/epidemiology/virology ; Brucellosis, Bovine/*epidemiology/microbiology ; Cattle ; Disease Outbreaks/*veterinary ; Humans ; Republic of Korea

Brucella ; isolation & purification ; Brucellosis ; epidemiology ; China ; epidemiology ; Humans

Brucella ; Brucellosis/epidemiology* ; Endocarditis ; Endocarditis, Bacterial/therapy* ; Humans ; Treatment Outcome

Brucellosis ; epidemiology ; China ; epidemiology ; Female ; Humans ; Male ; Occupational Diseases ; epidemiology ; Urban Population

OBJECTIVETo investigate the epidemic status of brucellosis in the occupational population in Yuxi, China, and to develop effective prevention and control strategies.

METHODSSerological test was performed for 2320 employees involved in breeding, slaughtering, meat and dairy product processing, veterinary medicine, and sales in counties and districts where brucellosis was detected from 2008 to 2014 in Yuxi; pathogenic detection was performed for those in the occupational population who were suspected of brucellosis.

RESULTSThe results of serological test showed that the infection rate of brucellosis reached 3.32% , and 15 cases of brucellosis had clinical symptoms. The employees involved in breeding had the highest infection rate (4.89%) (χ2=25.75, P<0.05). From 2008 to 2014, the infection rate of brucellosis was 0.37%~4.93% and tended to increase; 67.85% of the occupational population did not take personal protective measures and had a significantly higher infection rate than those who took personal protective measures (4.45% vs 0.94%; χ2=19.42, P<0.05). Among the 161 patients suspected of brucellosis, 42 cases were diagnosed as current brucellosis confirmed by laboratory pathogenic detection.

CONCLUSIONThe infection rate of brucellosis and the number of newly diagnosed cases tend to increase in the occupational population in Yuxi, and the employees involved in breeding are the major infected population.

Animal Husbandry ; Brucellosis ; epidemiology ; China ; epidemiology ; Dairying ; Humans ; Meat ; Occupational Diseases ; epidemiology ; microbiology ; Veterinary Medicine

OBJECTIVES: Cases of human brucellosis in Korea have recently increased due to the increasing incidence of bovine brucellosis. The authors conducted this study to elucidate the status of brucellosis through seroepidemiologic study. METHODS: We selected our study population from a high risk group. We conducted a questionnaire survey and obtained blood samples to determine the seroprevalence of brucellosis antibodies for 10 days in February, 2005. The titers of brucellosis were measured by the combination of standard tube agglutination test (STA) and enzyme-linked immunosorbent assay (ELISA) test. RESULTS: Our study subjects comprised 1,075 cases: 971 livestock workers, 51 veterinarians, and 53 artificial inseminators. In the STA test, 27 cases (2.5%) had titers of greater than or equal to 1:20. Of 1,068 cases (7 cases were excluded due to previous brucellosis), 7 cases of brucellosis were diagnosed with titers of 1:160, giving a seroprevalence of brucellosis of 0.66%. The seroprevalence in the male group was 0.95%, and that of livestock workers, veterinarians, and artificial inseminators was 0.52%, 4.17%, and 0.00%, respectively. The Spearman's correlation coefficient between the positive rate of bovine brucellosis per capita and household and human brucellosis was 0.806 and 0.744, respectively. The concordance rate between the Korea National Institute of Health and the Gyeongsangbuk-do Institute of Health and Environment by the STA and ELISA tests was 94.7% and 100.0%, respectively. CONCLUSIONS: The study results indicated in higher seroprevalence rate among veterinarians than among livestock workers and artificial inseminators. Because veterinarians may be exposed to this high risk, effective working guidelines for veterinarians to guard against brucellosis must be developed. Moreover, more extensive epidemiologic research for laboratory workers and meat handlers is needed.
Adult ; Aged ; Agriculture ; Animal Husbandry ; Animals ; Brucellosis/*epidemiology ; Brucellosis, Bovine/epidemiology ; Cattle ; Enzyme-Linked Immunosorbent Assay ; Female ; Humans ; Korea/epidemiology ; Middle Aged ; Occupational Diseases/*epidemiology ; Seroepidemiologic Studies ; Veterinarians

The study was carried out to investigate the prevalence of Brucella antibodies in sera of 120 cows in Bangladesh Agricultural University Dairy Farm and adjacent villages, Bangladesh. The epidemiological history and blood was collected from the cows. The serum samples were subjected to Rose Bengal Test (RBT)and plate agglutination test (PAT) for initial screening of Brucella antibodies and the positive sera samples were then subjected to tube agglutination test (TAT)for further confirmation. The higher rate of Brucella antibody was recorded in rural farm (5.0%)than organized farm (2.5%)and in pregnant cows (5.9%)than non-pregnant cows (4.7%). A total of 3 (4%)Brucella positive antibody cases were recorded in cows of above four years of age whereas, 1 (2.3%)positive case was found in cows of less than 4 years of age. The study revealed that number of Red Shindi was the highest and the prevalence of brucellosis in Bangladesh cow population is not negligible and it is worthwhile to consider adoption of preventive measures.
Animals ; Antibodies, Bacterial/*blood ; Bangladesh/epidemiology ; Brucella/*immunology ; Brucellosis, Bovine/*epidemiology ; Cattle ; Female ; Prevalence ; Seroepidemiologic Studies

We investigated the seroprevalence and risk factors for Brucella seropositivity in cattle in Jordan. The sera from 671 cows were randomly collected from 62 herds. The antibodies against Brucella were detected using a Rose Bengal plate test and indirect ELISA. A structured questionnaire was used to collect information on the cattle herds' health and management. A multiple logistic regression model was constructed to identify the risk factors for Brucella seropositivity. The true prevalence of antibodies against Brucella in individual cows and cattle herds was 6.5% and 23%, respectively. The seroprevalence of brucellosis in cows older than 4 years of age was significantly higher than that in the younger cows. The seroprevalence of brucellosis in cows located in the Mafraq, Zarqa and Ma'an governorates was significantly higher than that of the other studied governorates. The multiple logistic regression model revealed that a larger herd size (odd ratio = 1.3; 95% CI: 1.1, 2.6) and mixed farming (OR = 2.0; 95% CI: 1.7, 3.7) were risk factors for cattle seropositivity to Brucella antigens. On the other hand, the use of disinfectants (OR = 1.9; 95% CI: 1.1, 2.1) and the presence of adequate veterinary services (OR = 1.6; 95% CI: 1.2, 3.2) were identified as protective factors.
Animals ; Antibodies, Bacterial/blood ; Brucellosis, Bovine/blood/*epidemiology ; Cattle ; Jordan/epidemiology ; Risk Factors ; Seroepidemiologic Studies

Adult ; Brucellosis ; epidemiology ; Case-Control Studies ; China ; epidemiology ; Female ; Humans ; Male ; Occupational Exposure ; Risk Factors

BACKGROUND: The main objective of this study was to describe the temporal distribution of monthly reported human brucellosis cases in mainland China and develop an appropriate time series model for short-term extrapolation forecast. METHODS: Surveillance data of the monthly reported human brucellosis cases occurring from April 1, 2007, to March 31, 2017, in mainland China were obtained. The spectrum analysis was first adopted to find the cyclic and seasonal features, the existence of the seasonality and trend was determined by exponential smoothing method and the seasonal-trend decomposition. The candidate models of exponential smoothing included the additive model and multiplicative model; R was selected as the indicator for the selection of candidate model, and the stability of the model was verified by adjusting the training data and test data set. Finally, the extrapolations of monthly incident human brucellosis cases in 2017 were made. RESULTS: From April 1, 2007, to March 31, 2017, a total of 435,108 cases of Brucellosis occurred in mainland China were reported, with an average of 3626 cases per month and a standard deviation of 1834 cases. The R of the exponential smoothing method that based on additive model increased steadily from 0.927 to 0.949 with the increase of the data volume. Ten of 12 actual values fell in the confidence interval of predicted value. CONCLUSIONS Human brucellosis cases peaked during the months from March to August in mainland China, with clear seasonality. The exponential smoothing based on the additive model method could be effectively used in the time series analysis of human brucellosis in China. Control methods, such as vaccination, quarantine, elimination of infected animals, and good hygiene within the production cycle, should be strengthened with paying more attention to the seasonality. Further research is warranted to explore the drivers behind the seasonality.
Brucellosis ; epidemiology ; China ; epidemiology ; Forecasting ; Humans ; Incidence ; Models, Statistical ; Population Surveillance ; Public Health ; statistics & numerical data ; trends ; Seasons ; Time Factors