About Paula Moraga Paula Moraga Associate Professor, Statistics Spatial and spatio-temporal statistics geospatial modeling Spatial epidemiology Bayesian disease mapping point processes Public health surveillance Dr. Moraga develops innovative statistical methods and computational tools for geospatial data analysis and health surveillance. The impact of her work has directly informed strategic policy in reducing the burden of diseases such as malaria and cancer in several countries. Events Presented Events Aug 30 - Sep 5, 2026 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. Mar 8 - Mar 14, 2026 Geospatial Data Science for Public Health Surveillance Paula Moraga, Associate Professor, Statistics Mar 9, 11:15 - 12:45 B4/5 L0 A0215; Zoom Meeting 94713495879 Geospatial Data Public Health Public health surveillance geospatial statistics statistical methods This talk presents an overview of our research on innovative statistical methods and computational tools for geospatial data analysis and health surveillance, and how this work has directly informed strategic policy to reduce disease burden. Nov 16 - Nov 22, 2025 Geospatial Data Science for Public Health Surveillance Paula Moraga, Associate Professor, Statistics Nov 20, 12:00 - 13:00 B9 L2 R2325 statistical methods geospatial data analysis health surveillance Public Health spatio-temporal data analysis This talk will give an overview of statistical methods and computational tools for geospatial data analysis and health surveillance, highlighting challenges related to data biases and availability.
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.
Geospatial Data Science for Public Health Surveillance Paula Moraga, Associate Professor, Statistics Mar 9, 11:15 - 12:45 B4/5 L0 A0215; Zoom Meeting 94713495879 Geospatial Data Public Health Public health surveillance geospatial statistics statistical methods This talk presents an overview of our research on innovative statistical methods and computational tools for geospatial data analysis and health surveillance, and how this work has directly informed strategic policy to reduce disease burden.
Geospatial Data Science for Public Health Surveillance Paula Moraga, Associate Professor, Statistics Nov 20, 12:00 - 13:00 B9 L2 R2325 statistical methods geospatial data analysis health surveillance Public Health spatio-temporal data analysis This talk will give an overview of statistical methods and computational tools for geospatial data analysis and health surveillance, highlighting challenges related to data biases and availability.
Engage KAUST Academic Portal KAUST Repository Scopus ORCID ShareClipboard Related Sites Statistics (STAT) Geospatial Statistics and Health Surveillance (GeoHealth) Related Content Articles 3 Events 3 Upcoming Events 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 Related Links Dr. Paula Moraga personal website Dr. Paula Moraga list of publications on Google Scholar Geospatial Health Data: Modeling and Visualization with R-INLA and Shiny Spatial Statistics for Data Science: Theory and Practice with R
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
