Kevin B. Wood

The paper develops a model to predict population responses to spatially heterogeneous drug treatments by analyzing growth, migration, and microhabitat structures.

The paper studies how resistant and sensitive E. faecalis bacteria interact under antibiotic stress, showing cooperative behavior that allows survival at high drug concentrations.

This study investigates how spatial drug heterogeneity affects microbial population dynamics in confined environments, showing that spatial arrangement significantly influences population outcomes.

This study investigates spatial population dynamics of E. faecalis under antibiotic exposure, showing how cooperative interactions between resistant and sensitive strains create complex spatial structures that affect antibiotic response.

The paper investigates how spatial drug asymmetry affects phenotypic diversity and migration in bacterial populations under resistance evolution, finding that migration influences diversity according to the Intermediate Disturbance Hypothesis.

This study examines collateral effects of daptomycin resistance in E. faecalis, revealing diverse phenotypic outcomes and trade-offs in drug resistance and growth.

The paper models the spatial evolution of multi-drug resistance in bacteria under varying drug gradients using a reaction-diffusion system and Price equation framework.