health surveillance

Geospatial Data Science for Public Health Surveillance

Paula Moraga, Assistant Professor, Statistics

Nov 20, 11:00 - 12:00

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.

Better health from better data

1 min read · Tue, Aug 23 2022

statistics geospatial statistics health surveillance

The fast-developing science of geospatial statistics offers new insights into diverse health challenges, from cancer hotspots to problems of air pollution and the spread of COVID-19. Three new projects should yield a better understanding of what causes disease in Saudi Arabia and how to fight it. KAUST also stands to make a real contribution to the region by improving health in the Middle East and North Africa (MENA). The field of geospatial statistics and health surveillance, known as GeoHealth, uses data from multiple sources to create disease maps of geographical areas. When information is

Hanan Alahmadi

Ph.D. Student, Statistics

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