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

#xPublicandGlobalHealth (34) JMIR Theme Issue: COVID-19 Special Issue (2461) Infodemiology and Infoveillance (1369) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1050) #xInfectiousDiseases (28)

Published on in Vol 2, No 4 (2021): Oct-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/32233, first published .
Influence of Mass Media on Italian Web Users During the COVID-19 Pandemic: Infodemiological Analysis

Influence of Mass Media on Italian Web Users During the COVID-19 Pandemic: Infodemiological Analysis

Influence of Mass Media on Italian Web Users During the COVID-19 Pandemic: Infodemiological Analysis

Authors of this article:

Alessandro Rovetta1 Author Orcid Image ;   Lucia Castaldo1 Author Orcid Image
Article Authors Cited by (21) Tweetations (4) Metrics

Journals

  1. Sampogna G, Pompili M, Fiorillo A. Mental Health in the Time of COVID-19 Pandemic: A Worldwide Perspective. International Journal of Environmental Research and Public Health 2021;19(1):161 View
  2. Lotto M. Peer Review of “Influence of Mass Media on Italian Web Users During the COVID-19 Pandemic: Infodemiological Analysis”. JMIRx Med 2021;2(4):e34137 View
  3. Wang Y, Gao Z, Lv H, Xu Y. Online public attention toward allergic rhinitis in Wuhan, China: Infodemiology study using Baidu index and meteorological data. Frontiers in Public Health 2022;10 View
  4. Rovetta A, Castaldo L. Authors’ Response to Peer Reviews of “Influence of Mass Media on Italian Web Users During the COVID-19 Pandemic: Infodemiological Analysis”. JMIRx Med 2021;2(4):e34138 View
  5. Rovetta A. Google Trends as a Predictive Tool for COVID-19 Vaccinations in Italy: Retrospective Infodemiological Analysis. JMIRx Med 2022;3(2):e35356 View
  6. 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
  7. Kambayashi D, Manabe T, Hirohara M, Akatsu H. Knowledge, Attitudes, and Practices Survey among Nursing Care Workers Involved in Caring for Older Adults during the Early Stage of the COVID-19 Pandemic in Japan. International Journal of Environmental Research and Public Health 2022;19(20):12993 View
  8. Chen H, Zhang K, Li H, Li M, Li S. Trends in online searching toward suicide pre-, during, and post the first wave of COVID-19 outbreak in China. Frontiers in Psychiatry 2022;13 View
  9. Beauvais C. Pourquoi croyons-nous aux fake news ?. Revue du Rhumatisme 2022;89(6):555 View
  10. . Peer Review of “Influence of Mass Media on Italian Web Users During the COVID-19 Pandemic: Infodemiological Analysis”. JMIRx Med 2021;2(4):e34136 View
  11. 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
  12. Wang Z, Xiao H, Lin L, Tang K, Unger J. Geographic social inequalities in information-seeking response to the COVID-19 pandemic in China: longitudinal analysis of Baidu Index. Scientific Reports 2022;12(1) View
  13. Wang X, Chao F, Yu G. Evaluating Rumor Debunking Effectiveness During the COVID-19 Pandemic Crisis: Utilizing User Stance in Comments on Sina Weibo. Frontiers in Public Health 2021;9 View
  14. Clari M, Godono A, Albanesi B, Casabona E, Comoretto R, Mansour I, Conti A, Dimonte V, Ciocan C. Choosing between Homologous or Heterologous COVID-19 Vaccination Regimens: A Cross-Sectional Study among the General Population in Italy. International Journal of Environmental Research and Public Health 2022;19(5):2944 View
  15. Sznitman S, Lewis N. Israeli news media coverage of COVID-19 and use of cannabis and tobacco: A case study of inconsistent risk communication. International Journal of Drug Policy 2022;103:103648 View
  16. Bendezu-Quispe G, Benites-Meza J, Urrunaga-Pastor D, Herrera-Añazco P, Uyen-Cateriano A, Rodriguez-Morales A, Toro-Huamanchumo C, Hernandez A, Benites-Zapata V. Mass Media Use to Learn About COVID-19 and the Non-intention to Be Vaccinated Against COVID-19 in Latin America and Caribbean Countries. Frontiers in Medicine 2022;9 View
  17. KÖSE E, MURATDAĞI G, EKERBİÇER H, ÇELİK N, AYDOĞDU K, YILDIZ Y, ATAŞ İ, NEZİRİ A, SAFİ Z, YAMAN F, DALKIRAN E, ARABACIGİL Ş, YILMAZ E, AKDEMİR YARIZ A, DÜNDAR B, KURT B, ARSLAN P, ÇELİK S, ÇETİN A, DOĞAN H, ELGÖRMÜŞ İ, OTURAK G. Content Analysis of COVID-19 Vaccines-Related News in Digital Media Immediately before the Vaccination Process. Online Türk Sağlık Bilimleri Dergisi 2022;7(3):333 View
  18. Tudor C, Sova R. Mining Google Trends data for nowcasting and forecasting colorectal cancer (CRC) prevalence. PeerJ Computer Science 2023;9:e1518 View
  19. Habibdoust A, Seifaddini M, Tatar M, Araz O, Wilson F. Predicting COVID-19 new cases in California with Google Trends data and a machine learning approach. Informatics for Health and Social Care 2024;49(1):56 View

Books/Policy Documents

  1. De Toni A, Battistella C, Attanasio G, Chizzolini E. Futures Thinking and Organizational Policy, Volume 2. View