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JMIR Infodemiology
|
August 27, 2021
The Impact of COVID-19 on Conspiracy Hypotheses and Risk Perception in Italy: Infodemiological Survey Study Using Google Trends
Alessandro Rovetta
Frontiers in Research Metrics and Analytics
|
June 11, 2021
Reliability of Google Trends: Analysis of the Limits and Potential of Web Infoveillance During COVID-19 Pandemic and for Future Research
Alessandro Rovetta
Health Promotion Perspectives
|
February 28, 2023
World Health Organization is losing online credibility towards health-sensitive topics: Infodemiological analysis of Facebook users' reactions
Alessandro Rovetta
Cureus
|
February 9, 2024
Multiple Confidence Intervals and Surprisal Intervals to Avoid Significance Fallacy
Alessandro Rovetta
Cureus
|
January 7, 2021
Raiders of the Lost Correlation: A Guide on Using Pearson and Spearman Coefficients to Detect Hidden Correlations in Medical Sciences
Alessandro Rovetta
Jmirx Med
|
April 28, 2022
Google Trends as a Predictive Tool for COVID-19 Vaccinations in Italy: Retrospective Infodemiological Analysis
Alessandro Rovetta
International Journal of Medical Informatics
|
July 23, 2024
Google trends in infodemiology: Methodological steps to avoid irreproducible results and invalid conclusions
Alessandro Rovetta
Cureus
|
February 15, 2024
Correction: Multiple Confidence Intervals and Surprisal Intervals to Avoid Significance Fallacy
Alessandro Rovetta
Frontiers in Public Health
|
July 3, 2023
There is a need for more precise models to assess the determinants of health crises like COVID-19
Alessandro Rovetta
Cureus
|
July 13, 2023
A Framework to Avoid Significance Fallacy
Alessandro Rovetta
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of 4
Search research articles
Search
Showing results (1-10 of 38) with videos related to
Sort By:
Page
of 4
JMIR Infodemiology
|
August 27, 2021
The Impact of COVID-19 on Conspiracy Hypotheses and Risk Perception in Italy: Infodemiological Survey Study Using Google Trends
Alessandro Rovetta
Frontiers in Research Metrics and Analytics
|
June 11, 2021
Reliability of Google Trends: Analysis of the Limits and Potential of Web Infoveillance During COVID-19 Pandemic and for Future Research
Alessandro Rovetta
Health Promotion Perspectives
|
February 28, 2023
World Health Organization is losing online credibility towards health-sensitive topics: Infodemiological analysis of Facebook users' reactions
Alessandro Rovetta
Cureus
|
February 9, 2024
Multiple Confidence Intervals and Surprisal Intervals to Avoid Significance Fallacy
Alessandro Rovetta
Cureus
|
January 7, 2021
Raiders of the Lost Correlation: A Guide on Using Pearson and Spearman Coefficients to Detect Hidden Correlations in Medical Sciences
Alessandro Rovetta
Jmirx Med
|
April 28, 2022
Google Trends as a Predictive Tool for COVID-19 Vaccinations in Italy: Retrospective Infodemiological Analysis
Alessandro Rovetta
International Journal of Medical Informatics
|
July 23, 2024
Google trends in infodemiology: Methodological steps to avoid irreproducible results and invalid conclusions
Alessandro Rovetta
Cureus
|
February 15, 2024
Correction: Multiple Confidence Intervals and Surprisal Intervals to Avoid Significance Fallacy
Alessandro Rovetta
Frontiers in Public Health
|
July 3, 2023
There is a need for more precise models to assess the determinants of health crises like COVID-19
Alessandro Rovetta
Cureus
|
July 13, 2023
A Framework to Avoid Significance Fallacy
Alessandro Rovetta
Page
of 4