Can public-domain datasets be leveraged to identify factors associated with the occurrence of African swine fever in europe?

The model showed high accuracy for ASF prediction in domestic pigs but low accuracy for wild boars, highlighting the limitations of public domain (a)biotic factors alone. Integrating restricted data on animal movements, migration, and carcass interactions could enhance future predictions and improve disease control strategies. The change in spatial resolution did not affect the associations between (a)biotic factors and ASF occurrence in wild boars but reduced the number of associated variables in domestic pigs, suggesting that ASF in wild boars is driven by broader-scale factors, while in domestic pigs it is influenced by more localised conditions.