Abstract
Background: A key challenge for modelling infectious disease dynamics is to understand the spatial spread of infection in real landscapes. This ideally requires a parallel record of spatial epidemic spread and a detailed map of susceptible host density along with relevant transport links and geographical features. Results: Here we analyse the most detailed such data to date arising from the UK 2001 foot and mouth epidemic. We show that Euclidean distance between infectious and susceptible premises is a better predictor of transmission risk than shortest and quickest routes via road, except where major geographical features intervene. Conclusion: Thus, a simple spatial transmission kernel based on Euclidean distance suffices in most regions, probably reflecting the multiplicity of transmission routes during the epidemic.
| Original language | English (US) |
|---|---|
| Article number | 3 |
| Journal | BMC Veterinary Research |
| Volume | 2 |
| DOIs | |
| State | Published - Jan 16 2006 |
| Externally published | Yes |
All Science Journal Classification (ASJC) codes
- General Veterinary
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