Neues Paper Explainable GeoAI Approach for Analyzing Urban Human Dynamics: A COVID-19 Case Study
A new study introduces a GeoAI framework that analyzes urban human dynamics during the COVID-19 pandemic using multimodal data. The research, conducted in Rio de Janeiro, integrates mobile phone mobility data, geo-referenced social media posts, and COVID-19 case data to assess their relationship with infection rates. The findings show a strong correlation between social media activity and COVID-19 case spikes, while mobility data had a weaker correlation. The study highlights the importance of integrating multimodal data for city-level epidemiological analysis, offering a transparent framework for identifying relevant features and improving prediction accuracy in public health modeling.