Geospatial Data

Geospatial Data Science for Public Health Surveillance

Paula Moraga, Assistant 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.

Jonatan A. González

Postdoctoral Research Fellow, Statistics

spatial statistics Point patterns Functional data R project INLA spatio-temporal statistics Geospatial Data

Jonatan's research interests lie between spatial statistics and coding, emphasising point processes, epidemiology, infectious disease modelling and, generally, application-focused methods. He has a bachelor's degree and a master's background in mathematics. He completed his PhD in spatial and spatio-temporal point processes at the University Jaume I. Jonatan's research projects include techniques for dealing with point patterns: replicated observations, spatio-temporal analysis, graphical methods, hypothesis testing, experimental design and local characteristics. In addition to the core