Spatial analysis identifies high-risk areas for african swine fever outbreaks in wild boar populations, suggesting targeted intervention strategies.
Key Points
Higher risk of african swine fever outbreaks was found in central–western municipalities, indicating significant spatial differences.
The geospatial modeling approach effectively mapped areas at risk, allowing for the identification of critical habitat interfaces and environmental conditions.
Temporal delays in outbreak emergence were observed in peripheral areas, highlighting the influence of location on disease dynamics.
Integration of additional datasets in future studies may enhance predictive models for managing african swine fever outbreaks.