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Analyzing Google COVID-19 Vaccine Intent Search Trends and Vaccine Readiness in the United States: Panel Data Study
- Source :
- Online Journal of Public Health Informatics, Vol 16, p e55422 (2024)
- Publication Year :
- 2024
- Publisher :
- JMIR Publications, 2024.
-
Abstract
- BackgroundFactors such as anxiety, worry, and perceptions of insufficient knowledge about a topic motivate individuals to seek web-based health information to guide their health-related decision-making. These factors converged during the COVID-19 pandemic and were linked to COVID-19 vaccination decision-making. While research shows that web-based search relevant to COVID-19 was associated with subsequent vaccine uptake, less is known about COVID-19 vaccine intent search (which assesses vaccine availability, accessibility, and eligibility) as a signal of vaccine readiness. ObjectiveTo increase knowledge about vaccine intent search as a signal of vaccine readiness, we investigated the relationship between COVID-19 vaccine readiness and COVID-19 vaccine intent relative search volume on Google. MethodsWe compiled panel data from several data sources in all US counties between January 2021 and April 2023, a time during which those with primary COVID-19 vaccinations increased from 230 million adults. We estimated a random effects generalized least squares regression model with time-fixed effects to assess the relationship between county-level COVID-19 vaccine readiness and COVID-19 vaccine intent relative search volume. We controlled for health care capacity, per capita COVID-19 cases and vaccination doses administered, and sociodemographic indicators. ResultsThe county-level proportions of unvaccinated adults who reported that they would wait and see before getting a COVID-19 vaccine were positively associated with COVID-19 vaccine intent relative search volume (β=9.123; Z=3.59; P
Details
- Language :
- English
- ISSN :
- 19472579
- Volume :
- 16
- Database :
- Directory of Open Access Journals
- Journal :
- Online Journal of Public Health Informatics
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.54054a1dd6114d33896365f46802aef9
- Document Type :
- article
- Full Text :
- https://doi.org/10.2196/55422