Application of systems analysis in modelling the risk of bovine spongiform encephalopathy (BSE)

Abstract

Bovine spongiform encephalopathy (BSE), widely known as “mad cow disease”, has virtually crippled the British livestock industry. Even though, no cases of BSE have been reported in the United States (US), a similar epidemic in the US would be catastrophic. The added concern for the risk of introduction of the human disease called variant Creutzfeldt‐Jacob disease that has been linked to eating meat of BSE infected cattle compounds the risk of BSE. Systems dynamics models based on the underlying transmission pathways of BSE can help to anticipate the spread of this disease in different cattle populations and assist in the evaluation of potential risk mitigations for preventing its introduction or controlling its spread if it was introduced. With this in mind, an age and health status structured systems dynamics model was developed. By making assumptions and setting up feasible scenarios, the model can be used to examine potential prevalence and incidences rates of BSE; the effect of mitigations including changes in feeding habits or rendering processes and/or other policies and regulations designed to prevent the introduction of BSE. The systems dynamics simulation model enabled us to create virtual experiments whose real‐world analogues would otherwise be expensive, dangerous, or even impossible to carryout.