Digital Surveillance of Respiratory Syncytial Virus: Validating Google Trends for Disease Burden, Forecasting, and Vaccine Interest

Abstract/Description/Artist Statement

This study evaluates Google Trends as a digital epidemiology tool for respiratory syncytial virus (RSV) by validating search activity against CDC surveillance data, forecasting hospitalization burden, and examining the relationship between vaccine-related search interest and real-world uptake following vaccine approval.

Presenting Author Name/s

Irene Park, Anam Habib

Faculty Advisor/Mentor

Atiq Bhatti, MD

Faculty Advisor/Mentor Email

abhatti@odu.edu

Faculty Advisor/Mentor Department

Internal Medicine

College/School Affiliation

Eastern Virginia School of Medicine

Student Level Group

Medical

Presentation Type

Poster

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Digital Surveillance of Respiratory Syncytial Virus: Validating Google Trends for Disease Burden, Forecasting, and Vaccine Interest

This study evaluates Google Trends as a digital epidemiology tool for respiratory syncytial virus (RSV) by validating search activity against CDC surveillance data, forecasting hospitalization burden, and examining the relationship between vaccine-related search interest and real-world uptake following vaccine approval.