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

Information Demand (33) JMIR Theme Issue: COVID-19 Special Issue (2461) Infoveillance and Social Listening (214) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1050) Infodemiology and Infoveillance (1369)

Published on in Vol 1, No 1 (2021): Jan-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/29929, first published .
The Impact of COVID-19 on Conspiracy Hypotheses and Risk Perception in Italy: Infodemiological Survey Study Using Google Trends

The Impact of COVID-19 on Conspiracy Hypotheses and Risk Perception in Italy: Infodemiological Survey Study Using Google Trends

The Impact of COVID-19 on Conspiracy Hypotheses and Risk Perception in Italy: Infodemiological Survey Study Using Google Trends

Authors of this article:

Alessandro Rovetta1 Author Orcid Image
Article Authors Cited by (20) Tweetations (14) Metrics

Journals

  1. Marinaci T, Venuleo C, Gennaro A, Sammut G. Making sense of the COVID-19 pandemic: A qualitative longitudinal study investigating the first and second wave in Italy. Heliyon 2021;7(9):e07891 View
  2. Rovetta A, Bhagavathula A. The Impact of COVID-19 on Mortality in Italy: Retrospective Analysis of Epidemiological Trends. JMIR Public Health and Surveillance 2022;8(4):e36022 View
  3. Rovetta A, Castaldo L. Influence of Mass Media on Italian Web Users During the COVID-19 Pandemic: Infodemiological Analysis. JMIRx Med 2021;2(4):e32233 View
  4. Rovetta A, Castaldo L. A new infodemiological approach through Google Trends: longitudinal analysis of COVID-19 scientific and infodemic names in Italy. BMC Medical Research Methodology 2022;22(1) View
  5. Deiner M, Kaur G, McLeod S, Schallhorn J, Chodosh J, Hwang D, Lietman T, Porco T. A Google Trends Approach to Identify Distinct Diurnal and Day-of-Week Web-Based Search Patterns Related to Conjunctivitis and Other Common Eye Conditions: Infodemiology Study. Journal of Medical Internet Research 2022;24(7):e27310 View
  6. Gu J, He R, Wu X, Tao J, Ye W, Wu C. Analyzing Risk Communication, Trust, Risk Perception, Negative Emotions, and Behavioral Coping Strategies During the COVID-19 Pandemic in China Using a Structural Equation Model. Frontiers in Public Health 2022;10 View
  7. Raffetti E, Mondino E, Di Baldassarre G. Epidemic risk perceptions in Italy and Sweden driven by authority responses to COVID-19. Scientific Reports 2022;12(1) View
  8. Beauvais C. Pourquoi croyons-nous aux fake news ?. Revue du Rhumatisme 2022;89(6):555 View
  9. Remondi C, Cirimele F, Pastorelli C, Gerbino M, Gregori F, Plata M, Zuffianò A. Conspiracy beliefs, regulatory self-efficacy and compliance with COVID-19 health-related behaviors: The mediating role of moral disengagement. Current Research in Ecological and Social Psychology 2022;3:100069 View
  10. Carta M, Sancassiani F, Ganassi R, Melis P, D’Oca S, Atzeni M, Velluzzi F, Ferreli C, Atzori L, Aviles-Gonzales C, Serrentino M, Angermeyer M, Cossu G. Why Was the Perception of Human Rights Respect and Care Satisfaction So High in Users of Italian Mental Health Services during the COVID-19 Pandemic?. Journal of Clinical Medicine 2022;11(4):997 View
  11. Suppan M, Stuby L, Fehlmann C, Abbas M, Achab S, Harbarth S, Suppan L. The Impact of Three Communication Channels on the Dissemination of a Serious Game Designed to Enhance COVID-19 Prevention. International Journal of Environmental Research and Public Health 2022;19(16):10143 View
  12. Rovetta A, Castaldo L. Are We Sure We Fully Understand What an Infodemic Is? A Global Perspective on Infodemiological Problems. JMIRx Med 2022;3(3):e36510 View
  13. Benedetti P, Barbuzza A, Moscato F, Reppucci V, Goyeneche C, Katche C, Medina J, Viola H, Ballarini F, Moncada D. Second Wave of COVID-19 Pandemic in Argentinian Population: Vaccination Is Associated With a Decrease in Depressive Symptoms. Frontiers in Psychiatry 2022;13 View
  14. Beauvais C. Fake news: Why do we believe it?. Joint Bone Spine 2022;89(4):105371 View
  15. Rovetta A. Google Trends as a Predictive Tool for COVID-19 Vaccinations in Italy: Retrospective Infodemiological Analysis. JMIRx Med 2022;3(2):e35356 View
  16. Yoosefi Lebni J, Irandoost S, Sedighi S, Ahmadi S, Hosseini R. Identifying the determinants of non-injection of covid-19 vaccine: A qualitative study in Urmia, Iran. Frontiers in Public Health 2022;10 View
  17. Chopra H, Vashishtha A, Pal R, Tyagi A, Sethi T. Mining Trends of COVID-19 Vaccine Beliefs on Twitter With Lexical Embeddings: Longitudinal Observational Study. JMIR Infodemiology 2023;3:e34315 View
  18. Bianchi F, Tafuri S. Spreading of misinformation on mass media and digital platforms regarding vaccines. A systematic scoping review on stakeholders, policymakers, and sentiments/behavior of Italian consumers. Human Vaccines & Immunotherapeutics 2023;19(2) View
  19. Rovetta A. An integrated infoveillance approach using google trends and Talkwalker: Listening to web concerns about COVID-19 vaccines in Italy. Healthcare Analytics 2023;4:100272 View
  20. Agostino M, Mammone M, Ruberto S. Pandemic and Infodemic: The Role of Social Media in Disinformation Relating to COVID-19 in Italy. Forum for Social Economics 2024:1 View