Andreia Inamorato Dos Santos, Ernesto Chinkes, Marco A G Carvalho, Claudia M V Solórzano, Lilian S Marroni
The digital competence of academics in higher education: is the glass half empty or half full?
International journal of educational technology in higher education
novel purpose use mathematical models quantitative microbial risk assessment qmra identify sources microbial contamination food chain ie biotracing article propose framework construction biotracing model eventually used industrial food production chains discrete numbers products processed may contaminated multitude sources framework consists steps monte carlo model simulating sequential events chain following modular process risk modeling mprm approach converted bayesian belief network bbn resulting model provides probabilistic quantification concentrations pathogen throughout production chain bbn allows updating parameters model based observational data global parameter sensitivity analysis readily performed bbn moreover bbn enables backward reasoning downstream data available therefore natural framework answering biotracing questions proposed framework illustrated biotracing model salmonella pork slaughter chain based recently published monte carlo simulation model model implemented bbn describes dynamics salmonella dutch slaughterhouse enables finding source contamination specific carcasses end chain