Using Google Trends to Predict COVID-19 Vaccinations and Monitor Search Behaviours about Vaccines: A Retrospective Analysis of Italian Data

Google Trends data are an efficient source for analysing internet search behaviour and providing valuable insights into community dynamics and health-related problems. In this article, we aimed to evaluate if Google Trends data could help monitor the COVID-19 vaccination trend over time and if the introduction of COVID-19 vaccines modified the interest of pregnant women in vaccination. Data related to Google internet searches and the number of vaccine doses administered in Italy were used. We found moderate to strong correlations between search volumes of vaccine-related terms and the number of vaccines administered. In particular, a model based on Google Trends with a 3-week lag showed the best performance in fitting the number of COVID-19 vaccinations over time. We also observed that the introduction of COVID-19 vaccines affected the search interest for the argument “vaccination in pregnancy” both quantitatively and qualitatively. There was a significant increase in the search interest after the launch of the COVID-19 vaccination campaign in Italy. Qualitative analysis suggested that this increase was probably due to concerns about COVID-19 vaccines. Thus, our study suggests the benefits of using Google Trends data to predict the number of COVID-19 vaccine doses administered, and to monitor feelings about vaccination.

Has the COVID-19 Pandemic Impacted Interest in Cosmetic Facial Plastic Surgery?: A Google Trends Analysis

Facial cosmetic surgery trends are evolving in the current climate of the coronavirus disease 2019 (COVID-19) pandemic. The aim of this study was to evaluate public interest in elective facial plastic surgery during the COVID-19 pandemic including the period of the COVID-19 vaccine distribution using Google Trends. A Google Trends analysis was completed using popular terms related to facial cosmetic surgery and procedures from March 2017 to August 2021. Three stages were identified (baseline, pre-COVID-19 vaccine distribution, and post-COVID-19 vaccine distribution). Descriptive statistics were calculated and two-tailed t-tests were performed between the pre-vaccine and the post-vaccine phases. Linear regression analysis was also performed to determine percent deflection of search terms. There was significantly greater interest in facial aesthetic procedure search terms, except for tear trough filler, during the post-COVID-19 vaccine phase compared with the pre-COVID-19 vaccine phase. There was greater interest in lower facial procedure interest during this phase compared with upper facial procedures (p-value = 0.0011). The search terms with the greatest deflection percentage during the post-vaccine phase were lip filler, brow lift, and lip flip. There continues to be high demands of facial plastic surgery and procedures despite COVID-19 pandemic.