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Extensions of Dynamic Programming, Machine Learning, Discrete Optimization
Extensions of Dynamic Programming, Machine Learning, Discrete Optimization

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spatio-temporal disease data

Geospatial Data Science for Public Health Surveillance

Paula Moraga, Associate Professor, Statistics
Sep 3, 12:00 - 13:00

B9 R2325

geospatial data analysis health monitoring spatio-temporal disease data climate data health policy

This talk will provide an overview of statistical methods and computational tools for geospatial health data analysis and disease surveillance, with a focus on forecasting climate-sensitive diseases, the integration of health, climate, and digital data, and their role in informing public health policy.

Hanan Alahmadi

Ph.D. Student, Statistics

Bayesian computational statistics statistics geospatial statistics health surveillance spatio-temporal disease data

Extensions of Dynamic Programming, Machine Learning, Discrete Optimization (TREES)

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