[NOVA Math] Statistics and Risk Management Seminar - PhD Program in Mathematics Seminars

The Center of Mathematics and Applications (NOVA Math), promote the Seminar of Statistics and Risk Management - PhD Program in Mathematics Seminars, with the title: “Modeling Mobility Data during COVID-19 in Portugal”.  André Brito (PDM & NOVA Math) is the speaker.

Abstract: The COVID-19 pandemic highlighted the crucial role of statistical modeling in understanding infectious disease dynamics. This study investigates the spatio-temporal dependencies of viral respiratory infections by incorporating non-traditional data sources, particularly human mobility data. Traditional epidemiological models rely on clinical and surveillance data, but integrating mobility patterns provides a deeper understanding of disease spread. Using publicly available Google Community Mobility Reports, this research analyzes population movement across districts in Portugal. We employ statistical modeling to explain mobility including movement stringency and temperature as predictors. The study explores how mobility metrics evolved throughout the pandemic and their predictive value for epidemiological surveillance. This research underscores the importance of dynamic modeling approaches that account for temporal and spatial variations in mobility patterns. The results contribute to improved public health decision-making, providing a framework for leveraging mobility data in future epidemic responses.

Bio: André Martins Brito is a PhD student in Applied Mathematics at NOVA School of Science and Technology, specializing in Statistics and Risk Management. His research focuses on epidemiology and the modeling of mobility-incidence relationships. With a strong academic background, he holds a master’s degree in Applied Mathematics with a specialization in Actuarial Sciences, Statistics, and Operations Research, and a bachelor’s degree in Mathematics Applied to Economics and Management. His research experience includes a scholarship in epidemiology, contributing to a nationwide project on extreme weather event risk assessment in Portugal. Professionally, he has worked as a Data Analyst/Manager at the Bernhard Nocht Institute for Tropical Medicine, where he managed research databases and statistical analyses and worked as an A&H Regional Underwriting Analyst at AIG Europe, applying statistical methods to risk analysis.

5th March 2025, 14:30 - VII - Second Floor, Lab. 2.2

Zoom:  https://videoconf-colibri.zoom.us/j/88333359956