arxiv
PublishedOctober 21, 2026 at 4:00 AM
Asymmetric Bidirectional Predictive Dynamics in Google Search and COVID-19 Time Series: A Multi-Horizon Forecast-Error Analysis
Publisher summary· verbatim
arXiv:2610.28563v1 Announce Type: new Abstract: Online search activity is widely used as a digital trace of information seeking during epidemics, but its predictive value is often reduced to correlation, a selected lag, or a single forecast-error score. We examine eight pre-specified Google Trends-C
Stay posted· Newsletter
Three short emails a week: Monday, Wednesday and Friday. Top movers, new models and the most-referenced story.
Your email is used only to send The Bubble Brief. Privacy policy
Discussion
No replies yet. Be first.
Related coverage
More from ARXIV
arxivAn AI Security Agent for University ACMIS: Multi-Vector Threat Detection and Automated Response6harxivLearning Transferable Latent User Preferences for Human-Aligned Decision Making6harxivBeyond a Single Direction: Chain-of-Thought Disrupts Simple Steering of Refusal6harxivTeaching the Way, Not the Answer: Privileged Tutoring Distillation for Multimodal Policy Optimization6hThe Bubble Brief
MON · WED · FRIRead AI insights every Monday, Wednesday and Friday — top movers, new models, story of the week.
Your email is used only to send The Bubble Brief. Privacy policy
Originally published on arxiv ↗