The weibull model for evaluation of control reliability of carbapenem-sensitive acinetobacter baumannii infections: A...

Healthcare-associated infections caused by Acinetobacter baumannii remain a major challenge. Reliable tools to evaluate intervention effectiveness are needed. This study applied a parametric survival analysis using the two-parameter Weibull model to assess outcomes among patients with carbapenem-sensitive A. baumannii (CSAB) infections. Data were drawn from a retrospective case-series in a regional hospital in southern Taiwan, including both community and healthcare-associated cases. The intervention combined targeted antimicrobial therapy, intensified environmental disinfection with 0.5% sodium hypochlorite in four ICUs for one month, and an educational campaign. Weibull parameters were estimated via least squares regression to compare survival functions before and after intervention. Results showed improved survival, with scale (α) increasing from 33.88 to 56.05 days and shape (β) from 0.894 to 0.948, indicating a more favorable profile. The monthly incidence of healthcare-associated infections decreased from 3.18‰ to 2.87‰ in the subsequent year, with the most pronounced reduction occurring between months 2 and 4. These findings demonstrate the utility of Weibull modeling in monitoring intervention reliability and suggest that parameter trajectories may serve as early indicators for adjusting strategies. While the intervention appears cost-effective, further analyses incorporating covariates are warranted to strengthen conclusions.