Mapping the Risk of Canine Leishmaniasis in Southwest France
Author Information
Author(s): Hartemink Nienke, Vanwambeke Sophie O., Heesterbeek Hans, Rogers David, Morley David, Pesson Bernard, Davies Clive, Mahamdallie Shazia, Ready Paul
Hypothesis
Canine leishmaniasis can be predicted in new geographic locations using a spatially explicit R0 map.
Conclusion
The study successfully created a model to predict the risk of canine leishmaniasis based on vector abundance and environmental factors.
Supporting Evidence
- The study area spanned approximately 100 by 150 km.
- Sandflies were sampled using sticky traps at 169 sites.
- The model predicts R0 values based on environmental factors and vector abundance.
Takeaway
This study made a map to show where dog diseases might spread in France, using data from satellite images and local dog populations.
Methodology
The study combined high- and low-resolution satellite data with field sampling to create a model predicting sandfly abundance and R0 values.
Potential Biases
The model assumes fixed densities of alternative hosts and does not account for direct dog-to-dog transmission.
Limitations
The maps are proofs-of-principle and not validated due to lack of dog prevalence data at the required resolution.
Participant Demographics
The study area included various altitudes and land uses in southwest France.
Digital Object Identifier (DOI)
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