Gonzalo Bearman

About

Gonzalo Bearman is a leading infectious disease epidemiologist whose research focuses on healthcare-associated infection (HAI) prevention, antimicrobial stewardship, and novel disinfection technologies. His most impactful work challenges long-standing infection control dogma: a landmark 2018 interrupted time series analysis demonstrated that discontinuing contact precautions for MRSA and VRE did not increase HAI rates, accumulating 58 citations and reshaping isolation protocols. Bearman has pioneered the integration of audit and feedback systems to improve compliance with advanced disinfection tools, including touchless ultraviolet light robots for terminal room cleaning. His studies on UV robot deployment (24 citations) emphasize that technology alone is insufficient without rigorous performance monitoring. As a professor at Virginia Commonwealth University, Bearman has published extensively on the intersection of behavioral science and infection prevention, showing how real-time feedback loops can drive sustained adherence to disinfection protocols. His work bridges the gap between evidence-based innovation and practical implementation, making him a key voice in modern infection control.

Research Focus

Key Achievements

Top Papers

1. 1
   Impact of Discontinuing Contact Precautions for Methicillin-Resistant <i>Staphylococcus aureus</i> and Vancomycin-Resistant <i>Enterococcus</i> : An Interrupted Time Series Analysis

   58 citations · 2018
2. 2
   Deployment of a touchless ultraviolet light robot for terminal room disinfection: The importance of audit and feedback

   24 citations · 2017
3. 3
   Will Audit and Feedback Drive Compliance with UV Robot Disinfection?

   2 citations · 2017

Key Collaborators

Contact & Links