This paper is in the following e-collection/theme issue:

#xPublicandGlobalHealth (34) JMIR Theme Issue: COVID-19 Special Issue (2452) Infodemiology and Infoveillance (1349) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1041) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1641) Outbreak and Pandemic Preparedness and Management (1727) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1517) Vaccination and Immunization in the Digital Age (374) COVID-19 Vaccination (146) Vaccination Sentiment and Anti-Vaccination Infodemiology (58)

Published on in Vol 3, No 2 (2022): Apr-Jun

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/35356, first published .
Google Trends as a Predictive Tool for COVID-19 Vaccinations in Italy: Retrospective Infodemiological Analysis

Google Trends as a Predictive Tool for COVID-19 Vaccinations in Italy: Retrospective Infodemiological Analysis

Google Trends as a Predictive Tool for COVID-19 Vaccinations in Italy: Retrospective Infodemiological Analysis

Authors of this article:

Alessandro Rovetta1 Author Orcid Image
Article Authors Cited by (10) Tweetations (4) Metrics

Journals

  1. Rovetta A. Authors’ Response to Peer Reviews of “Google Trends as a Predictive Tool for COVID-19 Vaccinations in Italy: Retrospective Infodemiological Analysis”. JMIRx Med 2022;3(2):e38695 View
  2. Strzelecki A. Peer Review of “Google Trends as a Predictive Tool for COVID-19 Vaccinations in Italy: Retrospective Infodemiological Analysis”. JMIRx Med 2022;3(2):e38665 View
  3. Kow R, Mohamad Rafiai N, Ahmad Alwi A, Low C, Ahmad M, Zakaria Z, Zulkifly A. COVID-19 Infodemiology: Association Between Google Search and Vaccination in Malaysian Population. Cureus 2022 View
  4. Athanasiou M, Fragkozidis G, Zarkogianni K, Nikita K. Long Short-term Memory–Based Prediction of the Spread of Influenza-Like Illness Leveraging Surveillance, Weather, and Twitter Data: Model Development and Validation. Journal of Medical Internet Research 2023;25:e42519 View
  5. Chang A. Peer Review of “Google Trends as a Predictive Tool for COVID-19 Vaccinations in Italy: Retrospective Infodemiological Analysis”. JMIRx Med 2022;3(2):e38726 View
  6. Hu F, Qiu L, Xia W, Liu C, Xi X, Zhao S, Yu J, Wei S, Hu X, Su N, Hu T, Zhou H, Jin Z. Spatiotemporal evolution of online attention to vaccines since 2011: An empirical study in China. Frontiers in Public Health 2022;10 View
  7. Shah Z. Peer Review of “Google Trends as a Predictive Tool for COVID-19 Vaccinations in Italy: Retrospective Infodemiological Analysis”. JMIRx Med 2022;3(2):e38724 View
  8. Riccò M, Baldassarre A, Provenzano S, Corrado S, Cerviere M, Parisi S, Marchesi F, Bottazzoli M. Infodemiology of RSV in Italy (2017–2022): An Alternative Option for the Surveillance of Incident Cases in Pediatric Age?. Children 2022;9(12):1984 View
  9. Lam B, Chu A, Chan J, So M. Do Scholars Respond Faster Than Google Trends in Discussing COVID-19 Issues? An Approach to Textual Big Data. Health Data Science 2024;4 View
  10. Martínez-Aguilar L, Sanz-Lorente M, Martínez-Martínez F, Faus M, Sanz-Valero J. Public interest in drug-related problems reflected in information search trends: an infodemiological study. DARU Journal of Pharmaceutical Sciences 2024;32(2):537 View