Assessing Google Correlate Queries for Influenza H1N1 Surveillance in Asian Developing Countries
Xichuan Zhou, Qin Li, Han Zhao, Shengli Li, Lei Yu, Fang Tang,, Shengdong Hu, Guojun Li, Yujie Feng

TL;DR
This study evaluates the effectiveness of Google Trends data for influenza H1N1 surveillance in four Asian developing countries, addressing a gap in low-cost epidemic monitoring methods in these regions.
Contribution
It provides the first analysis of Google query data for influenza surveillance specifically in Asian developing countries.
Findings
Significant correlation between search trends and influenza activity
Demonstrates potential of Google Trends as a surveillance tool in Asia
Highlights regional differences in search behavior
Abstract
So far, Google Trend data have been used for influenza surveillance in many European and American countries; however, there are few attempts to apply the low-cost surveillance method in Asian developing countries. To investigate the correlation between the search trends and the influenza activity in Asia, we examined the Google query data of four Asian developing countries.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsData-Driven Disease Surveillance · Influenza Virus Research Studies · COVID-19 epidemiological studies
