
About
Andrew F Brouwer is an Assistant Professor in the Department of Epidemiology at the University of Michigan School of Public Health. His work focuses on mathematical and statistical modeling for epidemiologic inference, spanning infectious disease dynamics, cancer prevention, tobacco control, and environmental health. He employs mechanistic frameworks such as differential equation models, multistate transition models, and age-period-cohort models to analyze longitudinal patterns in public health data.
- PhD in Applied and Interdisciplinary Mathematics (2015)
- MA in Statistics (2015)
- MS in Environmental Science and Engineering (2011)
- MS in Applied and Interdisciplinary Mathematics (2013)
- BA in Mathematics and Chemistry (2009)
Dr. Brouwer's research integrates environmental surveillance (e.g., wastewater monitoring), infectious disease modeling (Zika, dengue, hepatitis A), and tobacco use transitions. His recent work addresses climate change impacts on vector-borne diseases, HPV epidemiology in gender-minority populations, and mechanistic approaches to gut function diagnostics.
Scientific publications reveal expertise in modeling environmentally transmitted pathogens, tobacco product transitions, and cancer dynamics. Key methods include parameter identifiability analysis, survival modeling, and counterfactual simulations for intervention effectiveness. Collaborations span the Michigan Department of Health and Human Services and international public health initiatives.
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