Evaluation of surveillance strategies for bovine brucellosis in Japan using a simulation model
Authored by Takehisa Yamamoto, Toshiyuki Tsutsui, Akiko Nishiguchi, Sota Kobayashi
Date Published: 2008
DOI: 10.1016/j.prevetmed.2008.03.004
Sponsors:
Japanese Ministries
Platforms:
R
Model Documentation:
Other Narrative
Flow charts
Model Code URLs:
Model code not found
Abstract
Bovine brucellosis is caused by Brucella abortus and induces abortions
in female cattle, with other cattle at risk of infection from the
aborted fetus or contaminated placenta. In Japan, the number of cases
has dramatically reduced due to national surveillance and eradication
strategies. Bovine brucellosis is now believed to be eradicated in
Japan. Here, we examine the surveillance strategies currently in place
for early detection of infected cattle in the event of a future
reintroduction of the disease. We compared current serological
surveillance for the dairy population with bulk-milk surveillance and
abortion surveillance, and used time to detection as the main criterion
of surveillance efficacy.
A stochastic individual-based model (IBM) was developed to simulate
disease transmission within and between farms. Using outputs from the
transmission model, a comparison of surveillance strategies was
simulated. For evaluation of the robustness of the parameter values used
in the transmission model, a sensitivity analysis was conducted. For the
purpose of evaluating the direct costs of each surveillance strategy, the annual number of samples to be tested and the annual number of farms
to be visited were estimated.
Our results indicated that current serological surveillance with
60-month test intervals is not effective enough for rapid detection of a
brucellosis outbreak. Bulk-milk surveillance appeared the most effective
method based on the early detection of infected cows and a reduced
number of samples required. The time to detection for abortion
Surveillance was greater than that of bulk-milk surveillance but varied
widely depending on the reported ratio of abortions. Results from the
surveillance model were consistent when alternative scenarios were
applied to the transmission model. Although our model cannot exactly
replicate an actual brucellosis outbreak, or the results of
surveillance, our results may help decision-makers to choose the most
effective surveillance strategy. (C) 2008 Elsevier B.V. All rights
reserved.
Tags
Epidemiology
Dynamics
tuberculosis
Diagnosis
Milk
Herds