The Colorado School of Public Health COVID-19 Modeling Group has been working together since March 2020, in response to the need for modeling of Colorado’s COVID-19 pandemic. The team includes researchers from the Colorado School of Public Health, University of Colorado Anschutz Medical Campus, CU Boulder, CU Denver and Colorado State University. The team is broad-based scientifically and includes epidemiologists, statistical modelers, social scientists, economists, and health policy experts. In the months since March, the epidemic models developed by the COVID-19 Modeling Group have proved valuable in guiding approaches for epidemic control in the state of Colorado.
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Marcelo Perraillon, PhD
Associate Professor, Department of Health Systems, Management & Policy, ColoradoSPH. Dr. Perraillon currently supports the team in the use of statistical methods and observational data to estimate the costs associated with long COVID in Colorado.
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Tatiane Santos, PhD, MPH
Assistant Professor, Department of Health Policy and Management, Tulane University School of Public Health and Tropical Medicine; and Adjunct Faculty, Department of Health Systems, Management & Policy, ColoradoSPH. Dr. Santos, a population health scientist, leads the development of this website including data curation, visualization and analytics.
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Alex Storaci, MBA
PhD Student, Department of Health Systems, Management, & Policy, ColoradoSPH. Ms. Storaci is trained in orthopedic and neural stem cell research and currently supports the team in estimating the costs associated with long COVID in Colorado.
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Jude Bayham, PhD
Assistant Professor, Department of Agricultural & Resource Economics, Colorado State University. Dr. Bayham’s research focuses on wildfire management in the wildland urban interface, the impact of human behavior on infectious disease management, and natural capital valuation.
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David Bortz, PhD
Professor, Department of Applied Mathematics, University of Colorado Boulder. Dr. Bortz brings expertise in data-driven modeling, parameter estimation, and uncertainty quantification, including the mathematical modeling of epidemics.
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Elizabeth Carlton, PhD, MPH
Associate Professor, Department of Environmental & Occupational Health, ColoradoSPH. Dr. Carlton is trained in environmental health sciences and epidemiology. She brings expertise in the use of diverse data to inform how we model infectious disease spread.
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Brittney Contreras, BS
Professional Research Assistant, Department of Environmental & Occupational Health, ColoradoSPH. Ms. Contreras is trained in data analysis and mathematical modeling and is currently supporting efforts in model fitting, projections, data visualization, and special analyses.
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Bailey Fosdick, PhD
Associate Professor, Department of Statistics, Colorado State University; Associate Professor, Department of Biostatistics & Informatics, ColoradoSPH. Dr. Fosdick is trained in the development of statistical methods to analyze network, array, and survey data with applications in the biomedical sciences.
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Debashis Ghosh, PhD
Professor and Chair, Department of Biostatistics & Informatics, ColoradoSPH. Dr. Ghosh is a biostatistician who is interested in fusion of data from diverse sources, time series, and causal inference.
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Irina Kasarskis, MPH
DrPH Student, Department of Epidemiology, ColoradoSPH. Ms. Kasarskis previously worked as an epidemiologist for the State of Oregon and currently supports efforts for the team in data acquisition, processing, and visualization.
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Talia Quandelacy, PhD, MPH
Assistant Professor, Department of Epidemiology, ColoradoSPH. Dr. Quandelacy is trained in quantifying transmission dynamics of respiratory and mosquito-borne viral diseases and is currently leading efforts in literature review and stakeholder engagement.
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Emma Wu, MS
Senior Professional Research Assistant, Department of Environmental & Occupational Health, ColoradoSPH. Ms. Wu is trained in data manipulation and quantitative analysis and is currently supporting efforts in model fitting, projections, data visualization, and special analyses.
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