Math model fights hospital infections

ASU researchers have created a mathematical model that offers new approaches to the problem of fighting dual-resistant hospital infections. "Model simulations were used to compare the effects of antimicrobial cycling, in which antibiotic classes are alternated over time, with mixing programs in a setting where the goal is that of reducing the prevalence of dual resistance,” says Carlos Castillo-Chavez, mathematical biology professor. “Here, we show that cycling may be useful when dealing with dual resistance -– the most worrisome hospital situation.” Article source: Post Chronicle