DIMACS Workshop on The Evolution and Control of Drug Resistance

Cancelled
DIMACS Center, CoRE Building, Rutgers University

Organizers:
Sally Blower, UCLA Medical School, sblower@mednet.ucla.edu
Tom Lietman, UCSF Medical School, tml@itsa.ucsf.edu
Presented under the auspices of the Special Focus on Computational and Mathematical Epidemiology.

One only has to review an issue of a medical journal or a popular magazine to realize that drug resistance has become a major concern to physicians, patients, and public health care workers. Recently infectious disease modelers have begun to develop models for predicting the evolution of drug resistance and for designing strategies to control drug resistance. So far most of this theoretical work has had a limited impact on the way physicians treat patients and the design of public health (population-level) control strategies. This workshop will bring together experts in "the real-world" of infectious disease and theoreticians to discuss how models can be designed and analyzed so that theoretical work can have a significant impact on informing the medical and public health decision-making process. Addressing the problems of drug resistance is an area where population biologists, mathematicians, statisticians, geneticists, public health care workers all have different perspectives and research interests, as well as different terminology, research interests and goals. We will explore how both transmission, genetic and statistical models can help predict future levels of drug resistance and be used to design effective control strategies. We will use a hierarchical approach to discuss the problems of drug resistance, beginning with models that focus on the emergence of resistance within an individual host, then moving to models of hospital-acquired resistance, and thence to models of community-acquired resistance. We will discuss how these models can be tested by data in a rigorous manner in terms of both the assumptions upon which they are based and the predictions that they make. We will cover a wide variety of different pathogens, including the major killers, HIV, tuberculosis, and malaria. In addition, we will discuss a body of theoretical work on the related problems of the development and control of insecticidal and fungicidal resistance; we will invite participants who work in these areas and discuss what infectious disease modelers can learn from these related fields.


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Document last modified on February 13, 2002.