Antimicrobial resistant (AMR) infections have been recognized globally as a significant threat to public health. In response to this crisis, wide-ranging research efforts are underway into the mechanisms of AMR development, AMR control, improved medical diagnostics, and the development of new medicines to stay ahead of resistant bacterial populations. One research area that is important for combining everything that is being learned about how AMR species and genes are behaving in the world is risk modeling.
This lecture, from Dr. Bing Wang of the University of Nebraska, is a discussion of risk-based modeling, its use for assessing AMR interventions and determining priorities for addressing the problem. This lecture is one of a series from the iAMResponsible team’s multi-university course on Antimicrobial Resistance from a One Health Perspective.
Authors and Sponsors
The iAMResponsible project was started by Amy Schmidt at the University of Nebraska-Lincoln and Stephanie Lansing at the University of Maryland. Find out more about the project here. Funding for the iAMResponsbile Project was provided by USDA-NIFA Award Nos. 2017-68003-26497, 2018-68003-27467 and 2018-68003-27545. Any opinions, findings, conclusions, or recommendations expressed in this publication are those of the author(s) and do not necessarily reflect the view of the U.S. Department of Agriculture.