Article

Digital Epidemiology for Epidemic Forecasting: Evaluating Twitter Emotion Signals and Google Symptom Searches Using Prophet and SARIMAX Models

2026-01-21

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Background</h4> Digital traces from social media and online search platforms have been used to support infectious disease forecasting, but their performance during the COVID-19 pandemic has varied widely. It is still uncertain which types of digital signals add dependable information to established forecasting models. <h4>Objective</h4> This study evaluated whether Twitter indicators and G...

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Literature Corpus work: b632892e-7044-51f2-a4d3-0da4c96ee2c3
DOI: 10.64898/2026.01.18.26344365

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