Whereas the benefits of eradicating a disease are therefore high, eradications require huge and costly efforts, which can be sustained only if sufficient progress can be achieved. While initial successes are usually obtained more easily, progress often becomes harder as a disease becomes rare in the eradication endgame. A long eradication tail of slowly decreasing incidence levels can frustrate eradication efforts, as it becomes unclear whether progress toward eradication is still being made and how much more needs to be invested to push the targeted disease beyond its extinction threshold. Realistic disease dynamics are complicated by evolutionary responses to interventions and by interactions among different temporal and spatial scales. Our model accounts for these complexities and allows predicting how hard or costly disease eradication will be.
Mazzucco R, Dieckmann U, & Metz JAJ (2016). Epidemiological, evolutionary, and economic determinants of eradication tails. Journal of Theoretical Biology 405: 58-65.
Last edited: 21 January 2019
Program and Project Officer Advancing Systems Analysis Program
Program and Project Officer Exploratory Modeling of Human-natural Systems Research Group - Advancing Systems Analysis Program
Program and Project Officer Cooperation and Transformative Governance Research Group - Advancing Systems Analysis Program
International Institute for Applied Systems Analysis (IIASA)
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