Inferring heterogeneous transmission and community introduction of antibiotic-resistant bacteria in hospital settings
This paper introduces a blockwise agent-based iterated filter (BAIF) framework that successfully infers heterogeneous transmission rates and community importation probabilities of antibiotic-resistant bacteria in hospital settings by analyzing partially observed patient movement and microbiological data, thereby enabling more targeted infection control strategies.