Probability of Rhipicephalus microplus introduction into farms by cattle movement using a Bayesian Belief Network

Bioeconomic simulation of Rhipicephalus microplus infestation in different beef cattle production systems in the Brazilian Cerrado

“…When it comes to sanitary issues, and Brazil being an endemic territory for R. microplus, the results of this work, which compare a production system with tick-infested cattle and control, allow the producer to visualize bottlenecks and make decisions that enable the increased production in beef cattle. Another study, using a probabilistic model (BBN) to estimate whether a farm's herd can become infested with R. microplus, making it possible to assess the impact that biosafety measures, proposed by Miraballes et al (2019), have about the probability of introducing animals infested by the parasite and, thus, guide the decision-making on the control or elimination of R. microplus from the farms.…”

Bayesian Belief Network Modeling of Accident Occurrence in Metal Lathe Machining Operations

“…Interestingly, Delen et al (2019) developed a BBN-driven probabilistic model which successfully predicted the risk of individual students' attrition from a higher learning institution. Miraballes et al (2019) also used BBN to assess the possibility of a farm becoming infested with cattle disease known as Rhipicephalus microplus, which is caused by the introduction of tick-infested cattle. Jitwasinkul et al (2016) noted that BBN has the capability to model expected consequences of uncertainty in the Thai construction industry; this was adopted to evaluate the safe work behaviors in the said industry.…”