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Michigan Public Health Launches Master of Science Degree in Computational Epidemiology and Systems Modeling
In this program, students are trained
to become highly skilled epidemiologists who can understand and analyze
public health problems with mathematical and statistical models.
Epidemiological models and simulation-based analyses are increasingly
used to inform public health policy and practice. Notably, throughout
the COVID-19 pandemic, government agencies, policy-makers and others
have used epidemiological models to help inform decision-making and slow
the spread of the virus.
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CAsToR
Junior Investigator Alyssa "Lyss" Crippen, PhD, describes
her journey in changing her research career from geophysics to
tobacco regulations modeling. Alyssa also discusses the importance of
computational modeling and her current work for CAsToR, which
focuses on understanding how tobacco regulations affect long-term health
outcomes and health disparities.
