Abstract
When a novel pathogen emerges there may be opportunities to eliminate transmission - locally or globally - whilst case numbers are low. However, the effort required to push a disease to elimination may come at a vast cost at a time when uncertainty is high. Models currently inform policy discussions on this question, but there are a number of open challenges, particularly given unknown aspects of the pathogen biology, the effectiveness and feasibility of interventions, and the intersecting political, economic, sociological and behavioural complexities for a novel pathogen. In this overview, we detail how models might identify directions for better leveraging or expanding the scope of data available on the pathogen trajectory, for bounding the theoretical context of emergence relative to prospects for elimination, and for framing the larger economic, behavioural and social context that will influence policy decisions and the pathogen's outcome.
| Original language | English (US) |
|---|---|
| Article number | 100507 |
| Journal | Epidemics |
| Volume | 37 |
| DOIs | |
| State | Published - Dec 2021 |
All Science Journal Classification (ASJC) codes
- Epidemiology
- Parasitology
- Microbiology
- Public Health, Environmental and Occupational Health
- Infectious Diseases
- Virology
Keywords
- Elimination
- Emergence
- Endemic
- Epidemic
- Mathematical model
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