In this episode of The ICHE Podcast, we explore the use of mathematical modeling to understand the impact of different infection prevention strategies in healthcare settings. Our expert panel, featuring Daniel K. Sewell, Rachel B. Slayton, and Samuel Cincotta, delves into how modeling studies can inform healthcare decision-making by evaluating the effectiveness of various prevention approaches.

The discussion covers the basic principles of modeling, commonly used methods, and the key limitations healthcare professionals need to consider when interpreting these studies. Additionally, we examine the CDC’s Modeling Infectious Diseases in Healthcare Network (MInD-Healthcare) to understand the role of this initiative in improving infection prevention strategies.

Key topics include understanding what mathematical modeling is, how to read and interpret modeling studies, the basic methods and terminology used, and the limitations of modeling. Our panelists also walk through individual research studies, addressing research questions, methods, findings, and limitations.

Tune in for practical insights into how mathematical modeling is shaping the future of infection prevention in healthcare settings.