Ebola is a deadly epidemic and has already cost the lives of at least 10,000 people in West Africa. A vaccine has yet to be discovered and the focus remains on containing the spread of the virus. Although its spread has come under control in recent months, the actions of international agencies has been criticized. In this study, we present a choice-problem, associated with the handling of Ebola by Health Policymakers. We combine actual demographic data with realistic cost data for a limited range of interventions intended to slow transmission of the disease, into a quantitative model. The model facilitates trials of many combinations of interventions, in an effort to minimise the further spread of Ebola. The model can be used both as a teaching tool, as well as a prototype decision-making tool for the agencies involved in fighting such outbreaks, with limited budgets.
|Number of pages||8|
|Publication status||Published - 26 May 2015|
|Event||International Conference on Risk Analysis - Barcelona, Spain|
Duration: 26 May 2015 → 29 May 2015
|Conference||International Conference on Risk Analysis|
|Period||26/05/15 → 29/05/15|
- constrained optimisation