This document summarizes research on modeling the spread of African swine fever (ASF) in Poland using multiplex network and machine learning approaches. Key findings include that blocking corridors on major highways could moderately delay the spread, while fencing the eastern border would have only a small effect on arrival time in swine districts. Machine learning combined with phenomenological models showed good predictive power. The research also found seasonal patterns and differences between border and interior regions, suggesting periodic importing of infections through Poland's eastern border may have occurred.