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ABSTRACT: Background
Google Trends is an infoveillance tool widely used by the scientific community to investigate different user behaviors related to COVID-19. However, several limitations regarding its adoption are reported in the literature.Objective
This paper aims to provide an effective and efficient approach to investigating vaccine adherence against COVID-19 via Google Trends.Methods
Through the cross-correlational analysis of well-targeted hypotheses, we investigate the predictive capacity of web searches related to COVID-19 toward vaccinations in Italy from November 2020 to November 2021. The keyword "vaccine reservation" query (VRQ) was chosen as it reflects a real intention of being vaccinated (V). Furthermore, the impact of the second most read Italian newspaper
SUBMITTER: Rovetta A
PROVIDER: S-EPMC9031689 | biostudies-literature | 2022 Apr-Jun
REPOSITORIES: biostudies-literature